i-manager Publications

i-manager's Journal on Civil Engineering (JCE)

Current Issue Vol. 14 Issue 3

ANALYSIS, DESIGN AND PARAMETRIC STUDY OF RCC BOX CULVERT USING STAAD-PRO
Study of Optimal Span-to-Depth Ratio for Two-Span Post-Tensioned Prestressed Concrete Box Girder Bridges
FACTOR ANALYSIS OF TIME AND COST OVERRUNS IN CONSTRUCTION OF IRRIGATION PROJECTS
Efficient Use of Manufactured Sand and Mineral Admixtures in High-Strength Concrete
Construction of Light weight Bricks Using Coconut Leaf Ash and Building By-products

Most Cited

Volume 9 Issue 2 March - May 2019

Research Article

Investigating Urban Industrialization and the Creation of Heat Islands

Amin Zoratipour * , Marjan Firoozy Nejad**

* Assistant Professor, Department of Nature Engineering, Agricultural Sciences and Natural Resources University of Khuzestan, Iran.

** Instructor, Department of Nature Engineering, Agricultural Sciences and Natural Resources University of Khuzestan, Iran.

Zoratipour, A., & Nejad, M. F. (2019). Investigating Urban Industrialization and the Creation of Heat Islands. i-manager's Journal on Civil Engineering, 9(2), 1-8. https://doi.org/10.26634/jce.9.2.14865

Abstract

In general, population growth, urbanization, and the industrialization of cities have an important effect on air temperature in the area. To study land use and temperature changes, Landsat 8 satellite images were used for the years 1991 and 2016 at the beginning and end of a 25-year period, and after reprocessing, Support Vector Machine (SVM) classification and Vegetation Index (NDVI) were applied. The Kappa coefficient index (for 1991=0.88, and 2016=0.92) and overall accuracy (for 1991=90.90, and 2016=93.75) were used to assess the accuracy of the classification. Results showed that vegetation, water, and land were decreased by 16.14, 6.12, and 13.51 percentages, respectively and urban and road areas were increased by 28.4 and 7.33 percentages, respectively. On average, real and estimated temperatures were increased by 3.7 and 4.52 °C during the period, respectively. Also, the RMSE (1.26) represents an incremental direct relationship between industrialization and LST.

References

[1]. Alavi. P., & Kazem. (2009). The Principles of Remote Sensing and Interpretation of Satellite Images and Aerial Photographs. Tehran University.

[2]. Amirmoradi, K., & Bahmani, O. (2014). Estimation of daily soil temperature using Artificial Neural Network (in Persian). Journal of Soil Research (Soil and Water Sciences), 2(3), 553-556.

[3]. Babaeifini, & Salmeh, O. (2015). Investigate relation of LST and NDVI in urban area (case study: Isfahan). Journal Natural Geographic, 8(79), 75-90.

[4]. Bhamare, S. M., & Agone, V. (2011, July). Change detection of surface temperature and its consequence using multi-temporal remote sensing data and GIS application to Tapi Basin of India. In Proceedings of the Global Conference on Global Warming (pp. 11-14).

[5]. Bighi, M. M., Ashraf, B., Hosseini, A. F., &. Mianabadi, A. (2012). Investigate of heat island of mashhad using satellite images and fractal theory, Journal of Geography and Environmental Hazards, 1, 35-49.

[6]. Congalton, R. G., & Green, K. (1999). Assessing the accuracy of remotely sensed data: Principles and practices boca Rotan (pp. 43-64). CRC Press is an imprint of the Taylor & Francis.

[7]. Dargizan, K., Firoozi, M. A., Taghizadeh, A., & Mehdizadeh., R. (2011). Survey and analysis of the function of land use in formation of heat islands by using RS and GIS: case study ahwaz city. National Seminaron GIS in the Planning of Economic, Social and Urban. Retrieved from https://www.civilica.com/Paper-GISPESU01- GISPESU01_006.html

[8]. Emami, H., Mojaradi, B., & Safari, A. (2016). An alternative scaling method for cross-validation of Land Surface Temperature from Remote Sensing data: A case study of Fars province, Journal of Geomatics Science and Technology, 6(1), 1-17.

[9]. Firoozynejad, M., & Torahi, A. A. (2017). Evaluation of IRS1D-LISS-III and Landsat 8-OLI Images for Mapping in Maroon Riparian Forest, Iran. Journal of Geography & Natural Disasters, United Kingdom, 7(2), 4.

[10]. Hajilo, M., Ali, S., Zerang, N., & Ardakani, A. O. (2014). Monitoring of land surface temperature and elevation of the relation between landuse and LST using ETM+ and OLI data (Case study: Qom province). The National Conference on Application of Advanced Models (RS & GIS) in Spatial Planning. Retrieved from https://www.civilica. com/Paper-GISLS01-GISLS01_005.html

[11]. Hosseini, F. S., & Mazidi, A. (2015). The impact of land use change and land cover on heat islands in the urban area of Yazd using remote sensing data. Geography and Development, 38, 1-12.

[12]. Hosseini, Z., Zahran, N., Hajilo, M., & Dadashi, M. (2014). Investigating relationship between Land Surface Temperature (LST) and vegetation using Lansat images (Case study: Isfahan). The National Conference on Application of Advanced Models (RS & GIS) in Spatial Planning. Retrieved frtom https://www.civilica.com/Paper- GISLS01-GISLS01_003.html

[13]. Khalil, M., Zadeh, B. F., & Ghalamnia, K. (2016). Estimate Land Surface Temperature using by Landsat 8 and single window (Case study: basin Mahabad). Journal of Geographic Information (Sepehr), 25(98), 171-182.

[14]. Liberti, M., Simoniello, T., Carone, M. T., Coppola, R, D'Emilio, M., Lanfredi, M., & Macchiato, M. (2006). Badlands area mapping from Landast-ETM data. Center for Remote Sensing of Land Surfaces, Bonn, 28-30, 437- 440.

[15]. Maroofnejad, & Abas. (2011). The role of urban classes on creation heat islans (Case study: Ahvaz city). Journal of Geography and Urban Planning of the Zagros Landscape, 10, 65-90.

[16]. Mirjanji, M., Khiabari, V. G. N., Armin, Y. M., & Lajhati, H. (2017). Estimate of Land Surface Temperature of landuse and vegetation in Dena city by single window and Landsat 8 data, Journal Environmental Science, 15(2), 55-74.

[17]. Mohammad, H. S., & Jafarzadeh, J. (2016). A New Step in the Processing of Satellite Images (Basics and Applications) Nagus Publishing.

[18]. Naseri, F, Darvishsefat, A. A, Sobhani, H. & Namiranian, M. (2004). An evaluation of the potential of landsat etm+ for forest density mapping in arid and semi arid regions. Journal Natural Res, 57(1), 109-119.

[19]. Nejad, M. F. (2013). Evaluation of ETM+ and IRS-LISSIII Sensor Potential for Riparian Forest Mapping (case study: Maroon river Riparian Forest, Khuzestan). Bebahankhtam Alanbia University of technology, Department of Natural Resources.

[20]. Omran, E. S. E. (2012). Detection of Land-use and Surface Temperature change at different resolutions. Journal of Geographic Information System, 4, 189-203.

[21]. Orhan, O., & Yakar, M. (2016). Investigating land surface temperature changes using landsat data in Konya, Turkey. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLI-B8, 25-289. Retrieved from https://pdfs.semanticscholar.org/ d4b1/9224aa186945c9515865 29dadbd6c4bb5dac.pdf ?_ga=2.55356907.1966582105. 1559269492- 1675202943.1559269492

[22]. Parvaneh, A., Ali, D. B., Ali, B. H., & Saeid, H. (2015). Comparing of LST in single Band method and multi Band using by Lansat 8 data. Journal Remote Sensing and Geographic Information Systems in Natural Resources, 7(3), 18-29.

[23]. Richards, J. A. (1999). Remote Sensing Digital Image Analysis. Berlin Springer-Verlag.

[24]. Rozenstein, O., Qin, Z., Derimian, Y., & Karnieli, A. (2014). Derivation of land surface temperature for Landsat- 8 TIRS using a split window algorithm. Sensors, 14(4), 5768- 5780.

[25]. Sadeghinia, A., Alijani, B., & Ziaeean, P. (2012). Spatial analysis-Time of heat islands for Tehran city using by remote sensing and GIS. Geography and Environmental Hazards Journal, 4, 1-17.

[26]. Saleh, A., & Mostafa, A. N. (2011). Efficiency assessment of Support Vector Machines for land use classification using satellite data ETM + (Case Study: Ilam Dam basin). Journal - Research Grassland and Desert of Iran, 18(3), 420-440.

[27]. Tsou, J., Zhuang, J., Li, Y., & Zhang, Y. (2017). Urban heat island assessment using the Landsat 8 data: A case study in Shenzhen and Hong Kong. Urban Science, 1(1), 10.

[28]. Zareie, S., Khosravi, H., Nasiri, A., & Dastorani, M. (2016). Using Landsat Thematic Mapper (TM) sensor to detect change in land surface temperature in relation to land use change in Yazd, Iran. Solid Earth, 7(6), 1551-1564.

Full Article (HTML)

Pdf

Research Paper

Acid and Sulphate Resistance of Limestone Blended Pervious Concrete

Rekha Singh* , Sanjay Goel**

* Research Scholar, Department of Civil Engineering, I.K.G Punjab Technical University, Jalandhar, Punjab, India.

** Assistant Professor, Department of Civil Engineering, DAV Institute of Engineering and Technology, Jalandhar, Punjab, India.

Singh, R., & Goel, S. (2019). Acid and Sulphate Resistance of Limestone Blended Pervious Concrete, i-manager's Journal on Civil Engineering, 9(2), 9-16. https://doi.org/10.26634/jce.9.2.15130

Abstract

This research study investigates the durability properties of pervious concrete mixture as porosity with interconnected network of pores causes a significant decrease in its strength and resistance against chemical and physical attacks. This study is focused on the degradation of cement base material submitted to sulphate and acid attack. The pH of the solution was controlled at 1 and variation in mass was monitored with respect to time. Durability tests in laboratory were performed to judge the performance of pervious concrete made by blended cement containing limestone powder, silica fume, and metakaolin. The testing program includes abrasion, sulphate, and acid resistance. The test results were compared to the theoretical hypotheses. Durability of pervious concrete exposed to sulphate and acid has been studied on specimen fully submerged in 5% sodium sulphate solution and 1% sulphuric acid solution respectively for 180 days. The study of partial replacement of cement by limestone blends shows that the ternary blends show good improvement against effect of sulphate and acid attack and presents good option of replacement as a substitution in pervious concrete. Due to densification of microstructure of cement paste in ternary blends, abrasion resistance is also improved.

References

[1]. Attiogbe, E. K., & Rizkalla, S. H. (1988). Response of concrete to sulfuric acid attack. ACI Materials Journal, 85(6), 481-488.

[2]. Ayub, T., Shafiq, N., Khan, S. U., & Nuruddin, M. (2013). Durability of concrete with different mineral admixtures: A review. International Journal of Civil, Environmental, Structural, Construction and Architectural Engineering, 7(8), 265-276.

[3]. Chang, Z. T., Song, X. J., Munn, R., & Marosszeky, M. (2005). Using limestone aggregates and different cements for enhancing resistance of concrete to sulphuric acid attack. Cement and Concrete Research, 35(8), 1486- 1494.

[4]. Dong, Q., Wu, H., Huang, B., Shu, X., & Wang, K. (2010). Development of a simple and fast test method for measuring the durability of Portland cement Pervious Concrete. ASCE Journal of Materials in Civil Engineering, Sn3149, 1-24.

[5]. El-Hachem, R., Rozière, E., Grondin, F., &Loukili, A. (2012). New procedure to investigate external sulphate attack on cementitious materials. Cement and Concrete Composites, 34(3), 357-364.

[6]. Fattuni, N. I., & Hughes, B. P. (1983). Effect of acid attack on concrete with different admixtures or protective coatings. Cement and Concrete Research, 13(5), 655- 665.

[7]. Gaedicke, C., Marines, A., & Miankodila, F. (2014). Assessing the abrasion resistance of cores in virgin and recycled aggregate pervious concrete. Construction and Building Materials, 68, 701-708.

[8]. Girardi, F., Vaona, W., & Di Maggio, R. (2010). Resistance of different types of concretes to cyclic sulfuric acid and sodium sulfate attack. Cement and Concrete Composites, 32(8), 595-602.

[9]. Haynes, H., O'Neill, R., & Mehta, P. K. (1996). Concrete deterioration from phusical attack by salts. Concrete International, 18(1), 63-68.

[10]. Hossack, A. M., & Thomas, M. D. (2015). The effect of temperature on the rate of sulfate attack of Portland cement blended mortars in Na SO solution. Cement and 2 4 Concrete Research, 73, 136-142.

[11]. Kawai, K., Yamaji, S., & Shinmi, T. (2005, April). Concrete deterioration caused by sulfuric acid attack. In International Conference on Durability of Building Materials and Components (pp. 17-20).

[12]. Kevern, J. T., Schaefer, V. R., & Wang, K. (2009). The effect of curing regime on pervious concrete abrasion resistance. Journal of Testing and Evaluation, 37(4), 337- 342.

[13]. Liu, S., & Wang, Z. (2014). Effect of limestone powder on acid attack characteristics of cement pastes. Materials Science, 20(4), 503-508.

[14]. Mehta, P. K. (2000). Sulfate attack on concrete separating myths from reality. Concrete International, 22(8), 57-61.

[15]. Merida, A., & Kharchi, F. (2015). Pozzolan concrete durability on sulphate attack. Procedia Engineering, 114, 832-837.

[16]. Najjar, M. F., Nehdi, M. L., Soliman, A. M., & Azabi, T. M. (2017). Damage mechanisms of two-stage concrete exposed to chemical and physical sulfate attack. Construction and Building Materials, 137, 141-152.

[17]. Offenberg, M. (2012). Development of a new test method for assessing the potential raveling resistance of pervious concrete. In Pervious Concrete. ASTM International.

[18]. Scherer, G. W. (2004). Stress from crystallization of salt. Cement and Concrete Research, 34(9), 1613-1624.

[19]. Sun, J., & Chen, Z. (2018). Influences of limestone powder on the resistance of concretes to the chloride ion penetration and sulfate attack. Powder Technology, 338, 725-733.

[20]. Taku, K. J., Amartey, D. Y., & Kassar, T. (2015). Effect of acidic curing environment on the strength and durability of concrete. Equilibrium, 7(12), 8-13.

[21]. Wang, D., Zhou, X., Meng, Y., & Chen, Z. (2017). Durability of concrete containing fly ash and silica fume against combined freezing-thawing and sulfate attack. Construction and Building Materials, 147, 398-406.

[22]. Wu, H., Huang, B., Shu, X., & Dong, Q. (2010). Laboratory evaluation of abrasion resistance of Portland cement pervious concrete. Journal of Materials in Civil Engineering, 23(5), 697-702.

Full Article (HTML)

Pdf

Research Paper

Performance Evaluation of Toll Plazas using Queuing Theory

Srinivasa Kumar* , K. Vasudha, P. V. S. Koteswar Rao*, K. Smitha****

* Associate Professor, Department of Civil Engineering, UCE, Osmania University, Hyderabad, Telangana, India.

Graduate, Department of Civil Engineering, Matrusri Engineering College, Saidabad, Hyderabad, Telangana, India.

* Associate Professor, Department of Civil Engineering, Matrusri Engineering College, Saidabad, Hyderabad, Telangana, India.

**** Assistant Professor, Department of Civil Engineering, Matrusri Engineering College, Saidabad, Hyderabad, Telangana, India.

Kumar, S. R., Vasudha, K., Rao, P. V. S. K., & Smitha, K. (2019). Performance Evaluation of Toll Plazas using Queuing Theory, i-manager's Journal on Civil Engineering, 9(2), 17-23. https://doi.org/10.26634/jce.9.2.14674

Abstract

Ever increasing vehicle traffic has over loaded on the performance of toll collecting plazas. Manual toll collection and Electronic toll collection methods are the most commonly adopted methods of toll collection in India along various sections of National Highways and Expressways, which were constructed and maintained on Public Private Partnership (PPP) mode. Manually operated toll collection at such plazas can be very difficult, especially during peak travel times, particularly during festivals. It is difficult to manage the queue and assign the required number of toll collecting gates operating in order to allow vehicles quickly and safely. Due to this reason, electronic toll collection servers are the best, but they are being less used by many drivers and still use manual toll collection. This results the drivers compelled to stop in front of the server for payment and create long queues and demand more number of toll collecting servers. To overcome this problem, this research has focused on to determine the performance evaluation of a few electronic toll collection and manual toll collection gates on National Highway (NH) 65 and Outer Ring Road. The arrival rate, service rate, delays, and the queue length data were collected. The arrival rates were input into a passion distribution based queuing model to determine the performance parameters of toll plazas and also the required number of servers at the study plazas.

References

[1]. Abdelwahab, H. T. (2017). Traffic micro-simulation model for design and operational analysis of barrier toll stations. Ain Shams Engineering Journal, 8(4), 507-513.

[2]. Boxma, O. J. & Takine, T. (2003). The M/G/1 FIFO queue with several customer classes. Queueing Systems, 45(3), 185-189.

[3]. Busam, A. K. (2005). Optimization of waiting time at toll plazas. FIU Electronic Thesis and Dissertations.

[4]. Guan, C. Q. (2009). Analysis of marine container terminal gate congestion, truck waiting cost, and system optimization [disertasi]. Amerika Serikat (US): New Jersey Institute of Technology.

[5]. Gulewicz, V., & Danko, J. (1995). Simulation-based approach to evaluating optimal lane staffing requirements for toll plazas. Transportation Research Record, 1484, 33.

[6]. Indian Roads Congress. (1990). Guidelines for capacity of roads on rural areas. New Delhi, India.

[7]. Indian Roads Congress. (2002). Guidelines for the design of plain jointed rigid pavements for highways. New Delhi, India.

[8]. Indian Roads Congress. (2012). Guidelines for the design of flexible pavements (IRC: 37-2012). New Delhi, India.

[9]. Klodzinski, J., & Al-Deek, H. M. (2002). Transferability of a stochastic toll plaza computer model. Transportation Research Record, 1811(1), 40-49.

[10]. Kumar, R. S., Rao, P. K., & Chowhan, L. S. (2018). Development of delay equations at signalized intersections in Hyderabad. Development, 4(12).

[11]. Liao G. (2010). Analysis of expressway tollgate capacity: highway engineering. Highway Engineering, 35(3), 153-172.

[12]. Liou, J. J., Chuang, Y. C., & Tzeng, G. H. (2014). A fuzzy integral-based model for supplier evaluation and improvement. Information Sciences, 266, 199-217.

[13]. Little, J. D. (1961). A proof for the queuing formula: L= λ W. Operations Research, 9(3), 383-387.

[14]. Liu, L., Weng, J., & Rong, J. (2012). Simulation Based Mixed ETC/MTC Freeway Toll Station Capacity. In 19^th ITS World Congress ERTICO-ITS Europe European Commission ITS America ITS Asia-Pacific.

[15]. Mudigonda, S., Bartin, B., & Ozbay, K. (2009, January). Microscopic modeling of lane selection and lane changing at toll plazas. In 88^th TRB Annual Conference.

[16]. Pondo-Voigt, S. (2017). Queuing application for toll plaza staffing optimization (Doctoral dissertation, University of Delaware).

[17]. Van Dijk, N. M., Hermans, M. D., Teunisse, M. J., & Schuurman, H. (1999). Designing the Wester schelde tunnel toll plaza using a combination of queueing and simulation. In WSC'99. 1999 Winter Simulation Conference Proceedings.'Simulation-A Bridge to the Future' (Cat. No. 99CH37038) (Vol. 2, pp. 1272-1279). IEEE.

[18]. Vandaele, N., Van Woensel, T., & Verbruggen, A. (2000). A queueing based traffic flow model. Transportation Research Part D: Transport and Environment, 5(2), 121-135.

[19]. Wang, C. (2017, March). Study on toll plaza design based on M/M/1 queue theory. In 2017 7^th International Conference on Education, Management, Computer and Society (EMCS 2017). Atlantis Press.

[20]. Zarrillo, M. L. (2007, May). Capacity analysis of 10 toll plazas on the OOCEA network. In Proceedings of the 18^th IASTED International Conference: Modelling and Simulation (pp. 562-567). ACTA Press.

[21]. Zhao S. J. (2012). The charging capacity and key designing parameters of freeway. Hebei University of Technology.

Full Article (HTML)

Pdf

Research Paper

Missing Discharge Data Filling with Artificial Neural Network

Janhabi Meher*

Assistant Professor, Department of Civil Engineering, VSSUT, Burla, Odisha, India.

Meher, J. (2019). Missing Discharge Data Filling with Artificial Neural Network, i-manager's Journal on Civil Engineering, 9(2), 24-30. https://doi.org/10.26634/jce.9.2.14657

Abstract

Artificial Neural Network has been widely used for filling in missing nonlinear data and successfully employed in the hydrologic applications. In this study, Artificial Neural Network is applied to fill in missing discharge data of nineteen discharge stations of Mahanadi river basin located at Chhattisgarh and Odisha in India for the five monsoon months (June-October). However, the overall performance of ANN generally depends on selection of input and output datasets, called input data selection method. The input data selection method applied in this study is using data as input having good (r≥0.9) correlation coefficients with target data. It was observed that coefficient of determination (R²) between observed discharge and predicted discharge for the nineteen stations varied from 0.148-0.954, 0.250-0.991, 0.026- 0.972, 0.148-0.972, and 0.213-0.985 for the months of June, July, August, September, and October, respectively. Predicted discharge of a particular station for a particular month having correlation greater than 0.9 with very few numbers of stations or with no station showed very low match with the observed discharge of that station. Therefore, it can be concluded that Artificial Neural Network requires sufficiently large number of inputs to accurately predict the target.

References

[1]. Amisigo, B. A. & Van De Giesen, N. C. (2005). Using a spatio-temporal dynamic state-space model with the EM algorithm to patch gaps in daily riverflow series. Hydrology and Earth System Sciences Discussions, 9(3), 209-224.

[2]. Bakar, S. H. A., Jafari, A. M., & Khan, I. N. (2004). Flow duration matching technique - a case study, Rivers' 04, 1^st International Conference on Managing Rivers in the 21^st Century: Issues and Challenges (pp. 117-123).

[3]. Dastorani, M. T., Moghadamnia, A., Piri, J., & Rico-Ramirez, M. (2010). Application of ANN and ANFIS models for reconstructing missing flow data. Environmental Monitoring and Assessment, 166(1-4), 421-434.

[4]. Elshorbagy, A. A., Panu, U. S., & Simonovic, S. P. (2000a). Group-based estimation of missing hydrological data: I. Approach and general methodology. Hydrological Sciences Journal, 45(6), 849-866.

[5]. Elshorbagy, A. A., Panu, U. S., & Simonovic, S. P. (2000). Group-based estimation of missing hydrological data: II. Application to streamflows. Hydrological Sciences Journal, 45(6), 867-880.

[6]. Elshorbagy, A., Panu, U. S., & Simonovic, S. P. (2001). Analysis of cross-correlated chaotic streamflows. Hydrological Sciences Journal, 46(5), 781-793.

[7]. Elshorbagy, A., Simonovic, S. P., & Panu, U. S. (2000). Performance evaluation of artificial neural networks for runoff prediction. Journal of Hydrologic Engineering, 5(4), 424-427.

[8]. Gyau-Boakye, P., & Schultz, G. A. (1994). Filling gaps in runoff time series in West Africa. Hydrological Sciences Journal, 39(6), 621-636.

[9]. Honghai, F., Guoshun, C., Cheng, Y., Bingru, Y., &Yumei, C. (2005, September). A SVM regression based approach to filling in missing values. In International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (pp. 581-587). Springer, Berlin, Heidelberg.

[10]. Jónsdóttir, J. F., Uvo, C. B., & Clarke, R. T. (2008). Filling gaps in measured discharge series with model-generated series. Journal of Hydrologic Engineering, 13(9), 905-909.

[11]. Kim, T., Sung, K., & Heo, J. H. (2010). Hydrologic data calibration using Artificial Neural Network and mutual information. HIC 2010, 9^th International Conference on Hydroinformatics (pp. 598-602).

[12]. Mfwango, L. H., Salim, C. J., & Kazumba, S. (2018). Estimation of missing river flow data for hydrologic analysis: The case of Great Ruaha River catchment. Hydrology Current Ressearch, 9(2), 299.

[13]. Mispan, M. R., Rahman, N. F. A., Ali, M. F., Khalid, K., Bakar M. H. A., & Haron, S. H. (2015). Missing river discharge data imputation approach using Artificial Neural Network. ARPN Journal of Engineering and Applied Sciences, 10(22),10480-10485.

[14]. Ng, W. W., Panu, U. S., & Lennox, W. C. (2009). Comparative studies in problems of missing extreme daily streamflow records. Journal of Hydrologic Engineering, 14(1), 91-100.

[15]. Papadakis, I., Napiorkowski, J., & Schultz, G. A. (1993). Monthly runoff generation by non-linear model using multispectral and multitemporal satellite imagery. Advances in Space Research, 13(5), 181-186.

[16]. Starrett, S. K., Starrett, S. K., Heier, T., Su, Y., Tuan, D., & Bandurraga, M. (2010). Filling in missing peak flow data using Artificial Neural Networks. ARPN Journal of Engineering and Applied Sciences, 5(1), 49-55.

[17]. Sviercoski, R. F., Travis, B. J., & Eggert, K. (2016, October). Description of data reanalysis of daily discharge and gauge height over the Amazon River Basin. In AIP Conference Proceedings (Vol. 1773, No. 1, p. 110013). AIP Publishing.

[18]. Taylor, J. C., van de Giesen, N., & Steenhuis, T. S. (2006). West Africa: Volta discharge data quality assessment and use 1. Jawra Journal of the American Water Resources Association, 42(4), 1113-1126.

[19]. Tencaliec, P., Favre, A. C., Prieur, C., & Mathevet, T. (2015). Reconstruction of missing daily streamflow data using dynamic regression models. Water Resources Research, 51(12), 9447-9463.

[20]. Tfwala, S. S., Wang, Y. M., & Lin, Y. C. (2013). Prediction of missing flow records using multilayer perceptron and coactive neurofuzzy inference system. The Scientific World Journal, 2013, 7, http://dx.doi.org/10.1155/2013/584516

Full Article (HTML)

Pdf

Research Paper

Investigations on Seismic Behavior of Bamboo Fibre Reinforced Self Compacting Concrete Exterior Beam Column Joint

S. Kavitha* , T. Felix Kala**

* Associate Professor, Department of Civil Engineering, ACS College of Engineering, Bangalore, Karnataka, India.

** Dean, Dr. M.G.R. Educational and Research Institute, Chennai, Tamil Nadu, India.

Kavitha, S., & Kala, F. T. (2019). Investigations on Seismic Behavior of Bamboo Fibre Reinforced Self Compacting Concrete Exterior Beam Column Joint, i-manager's Journal on Civil Engineering, 9(2), 31-36. https://doi.org/10.26634/jce.9.2.14713

Abstract

Structures designed for typical loading often gets damaged or can collapse during severe earthquakes. The beam column joint is the crucial zone in a reinforced concrete moment resisting frame. This paper presents a behavior of the exterior beam column joint, which is analyzed experimentally and numerically using ANSYS software. Understanding the joint behavior is essential in exercising proper judgments in the design of joints. The objective of the present study is to compare the behavior of exterior bamboo fiber reinforced concrete beam-column joint with different modulus of elasticity, which is detailed as per IS 456 and IS 13920. A three-storied RC building in the zone V is analyzed, and one of the exterior beam-column joints at an intermediate storey is designed in ETABS.15. Two one-third scaled specimens and two detailed as per IS 456 were tested under a reverse cyclic loading. The test results indicate failure accrue in bamboo fiber reinforced SCC beam-column joint and helps to compare the failure pattern with conventional SCC concrete replaced with GGBS and alccofine. Enhancements in the performances of beam-column joints for cyclic loading for different modulus of elasticity (E) values were also observed and nonlinear analysis is carried out in ANSYS software.

References

[1]. Bindhu, K. R., & Jaya, K. P. (2010). Strength and behaviour of exterior beam column joints with diagonal cross bracing bars. Asian Journal of Civil Engineering (Building and Housing), 11(3), 397-410.

[2]. Bureau of Indian Standards. (1993). Ductile detailing of reinforced concrete structure subjected to seismic forces- Code of Practice (IS 13920:1993). New Delhi, India.

[3]. Bureau of Indian Standards. (2000). Indian standard plain and reinforced concrete code of practice (Fourth revision) (IS 456:2000). New Delhi, India.

[4]. Ganesan, N., Indira, P. V., & Abraham, R. (2007). Steel fibre reinforced high performance concrete beamcolumn joints subjected to cyclic loading. ISET Journal of Earthquake Technology, 44(3-4), 445-456.

[5]. Ganesan, N., Indira, P. V., & Sabeena, M. V. (2013). Tension stiffening and cracking of hybrid fiber-reinforced concrete. ACI Materials Journal, 110(6), 715-722.

[6]. Kang, T. H. K. & Mitra, N. (2012). Prediction of performance of exterior beam-column connections with headed bars subject to load reversal. Engineering Structures, 41, 209-217.

[7]. Kavitha, S., & Kala, T. F. (2017). Effect of bamboo fiber in self compacting concrete partially replacing cement with GGBS and Alccofine. International Journal of Civil Engineering and Technology, 8(3), 158-166.

[8]. Kavitha, S. & Felix Kala, T. (2016). Assessment of L/D ratio of eco fiber - bamboo as a reinforcement material in concrete. International Journal of Engineering and Technology, 8(3), 2034-2039.

[9]. Khante, S. N., & Nemade, A. V. (2015 June). Performance of Beam-Column joint using nonconventional reinforcement technique under cyclic load. Journal of Civil Engineering and Environmental Technology, 2(9), 49-53.

[10]. Murty, C. V. R., Rai, D. C., Bajpai, K. K., & Jain, S. K. (2003). Effectiveness of reinforcement details in exterior reinforced concrete beam-column joints for earthquake resistance. Structural Journal, 100(2), 149-156.

[11]. Prabhakara, R., Harish, R., & Nambiyanna, B. (2015). Analytical investigation of external beam columnjoint using ANSYS by varying the diameter of the longitudinal reinforcement in beam. Journal of Engineering Research and Applications, 5(8), 1-5.

[12]. Scott, R. H. (1992). The effects of detailing on RC beam/column connection behaviour. Structural Engineer, 70(18).

Full Article (HTML)

Pdf

Research Paper

Numerical Modelling Based Impact of Ground Vibrations

Garimella Raghu Chandra* , Vedala Rama Sastry, S. Parvathy*

* Associate Professor, Department of Electrical and Electronics Engineering, Methodist College of Engineering and Technology, Hyderabad, Telangana, India.

Vice-Chancellor, Dr. Babasaheb Ambedkar Technological University (Government of India), Lonere, Maharashtra, India.

* PG Scholar, Department of Civil Engineering, National Institute of Technology, Surathkal, Mangalore, India.

Chandra, G. R., Sastry, V. R., & Parvathy, S. (2019). Numerical Modelling Based Impact of Ground Vibrations, i-manager's Journal on Civil Engineering, 9(2), 37-45. https://doi.org/10.26634/jce.9.2.16149

Abstract

The dynamic behavior of canal slope under blast load was assessed using numerical modelling approach based on ground vibration samples. Studies were carried out at Yanakandla Mine, Kurnool District of Andhra Pradesh over a period of two months and Blast vibrations were monitored at different distances. Based on the signal processing analysis made, regression based statistical analysis was carried out. In addition, curve fitting analysis made between Peak Particle Velocity of ground vibrations and Scaled Distance resulted in a very good coefficient of determination of about 92% between them. A Distinct Element Modelling technique in 3DEC software was carried out for finding the slope stability analysis of the canal located near the mine by adopting a simplified triangular blasting load. Vertical joint was included in the model and analysis was carried out to determine the influence of joint in the rock mass. It was observed that the Peak Particle Velocity values obtained from numerical modelling are in close approximation to the field investigation results.

References

[1]. Cen, L., & Jiang, C. R. (2008). A study on the blasting vibration control of creep mass high slope. The 14^th World Conference on Earthquake Engineering (Vol. 12, No. 17, pp. 1-5).

[2]. Chen, S. G., Cai, J. G., Zhao, J., & Zhou, Y. X. (2000, January). 3DEC modeling of a small-scale field explosion test. In 4^th North American Rock Mechanics Symposium. American Rock Mechanics Association.

[3]. Cheng, D. X., Pan, W., Liu, D. A., Feng, S. R., Guo, H. F., & Ding, E. B. (2006). 3DEC modeling of equivalent mechanical parameters in anchored jointed rock mass. Yantu Lixue (Rock and Soil Mechanics), 27(12), 2127-2132.

[4]. Deng, X. F., Zhu, J. B., Chen, S. G., & Zhao, J. (2012). Some fundamental issues and verification of 3DEC in modeling wave propagation in jointed rock masses. Rock Mechanics and Rock Engineering, 45(5), 943-951.

[5]. Garimella, D., Chandra, R., & Parvathy, S. (2019). Numerical modelling based assessment of ground vibrations. Available at SSRN 3312576.

[6]. Griffiths, D. V., & Fenton, G. A. (2004). Probabilistic slope stability analysis by finite elements. Journal of Geotechnical and Geoenvironmental Engineering, 130(5), 507-518.

[7]. Hassan, A., & Damper, R. I. (2012). Classification of emotional speech using 3DEC hierarchical classifier. Speech Communication, 54(7), 903-916.

[8]. Holmberg, R., & Maki, K. (1981). Case examples of blasting damage and its influence on slope stability. In Third Int. Conf. Stability in Surface Mining (pp. 773-793).

[9]. Israelsson, J. I. (1996). Short descriptions of UDEC and 3DEC. In Developments in Geotechnical Engineering (Vol. 79, pp. 523-528). Elsevier.

[10]. Kahriman, A. (2004). Analysis of parameters of ground vibration produced from bench blasting at a limestone quarry. Soil Dynamics and Earthquake Engineering, 24(11), 887-892.

[11]. Lemos, J. V. (2004). Modeling stone masonry dynamics with 3DEC. Numerical Modelling of Discrete Materials.

[12]. Sastry, V. R., & Chandra, G. R. (2016a). Signal processing computation based seismic energy estimation of blast induced ground vibration waves. In 2016 IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) (pp. 216-220). IEEE.

[13]. Sastry, V. R., & Chandra, G. R. (2016b). Assessment of seismic energy obtained from blast induced ground vibrations using signal processing computation techniques. In 2016 IEEE International Conference on Recent Trend sin Electronics, Information & Communication Technology (RTEICT) (pp. 31-35). IEEE.

[14]. Sastry, V. R., Rebello, N., & Shivashankar, R. (2015). Blast induced response of a tunnel in the presence of a two storied structure. ISRM India Journal-Half Yearly Technical Journal of Indian National Group of ISRM, 4(1), 10-14.

[15]. Singh, P. K. (2002). Blast vibration damage to underground coal mines from adjacent open-pit blasting. International Journal of Rock Mechanics and Mining Sciences, 39(8), 959-973.

[16]. Singh, P. K., & Roy, M. P. (2010). Damage to surface structures due to blast vibration. International Journal of Rock Mechanics and Mining Sciences, 47(6), 949-961.

[17]. Wang, W. H., Li, X. B., Zuo, Y. J., Zhou, Z. L., & Zhang, Y. P. (2006). 3DEC modeling on effect of joints and interlayer on wave propagation. Transactions of Nonferrous Metals Society of China, 16(3), 728-734.

[18]. Xu, G. Y., & Yan, C. B. (2006). Numerical simulation for influence of excavation and blasting vibration on stability of mined-out area. Journal of Central South University of Technology, 13(5), 577-583.

[19]. Yang, J., Xia, Y., Chen, Z., Chen, D., Pei, Y., & Zhu, W. (2012). Dynamic behavior of Road high Cutting Rock slope under the influence of blasting for excavation. Procedia Earth and Planetary Science, 5, 25-31.

[20]. Zeng, J., & Xiao, S. (2017). Optimization algorithm of the strength reduction method for the stability analysis of slopes based on FLAC3D. The Electronic Journal of Geotechnical Engineering, 22(9), 3831-3843.

[21]. Zhang, D. S., Jing, S. G., Zhang, W., & Fan, G. W. (2008). Numerical simulation analysis by solid-liquid coupling with 3DEC of dynamic water crannies in overlying strata. Journal of China University of Mining and Technology, 18(3), 347-352.

Full Article (HTML)

Pdf

Research Paper

Effect of Geometric Parameters on Seismic Performance of RC Chimneys

S. Isha Patel* , B. D. V. Chandra Mohan Rao**

* Department of Civil Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India.

** Professor, Department of Civil Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India.

Patel, S. I., & Rao, B. D. V. C. M. (2019). Effect of Geometric Parameters on Seismic Performance of RC Chimneys, i-manager's Journal on Civil Engineering, 9(2), 46-54. https://doi.org/10.26634/jce.9.2.16150

Abstract

Chimneys are the industrial structures, which are used to exhaust the gases generated during fuel combustion. As the seismic activity has been increasing day by day in the recent days, the analysis of the chimneys has been governed by the lateral loads such as wind and earthquake loads. In the present study, the seismic behaviour of tapered chimneys of different heights (50 m, 65 m, 75 m, and 100 m) with varying Height/ Bottom diameter ratio of the chimney (H/D ratios : 8,10,12,15, and 18) and varying Bottom diameter/ Bottom Shell thickness ratio of the chimney (D/T ratios : 10,15,20,25, and 30) has been investigated using SAP 2000 software. Free vibration analysis has been carried out to obtain the fundamental natural time period and mass participation ratios. Seismic analysis has been carried out using Response spectrum method as per IS 1893 (Part 4):2015. The effect of the geometric parameters of chimneys on dynamic response parameters such as Top displacement, Base shear have been evaluated and some useful conclusions are drawn.

References

[1]. Bureau of Indian Standards. (1992). Criteria for Design of Reinforced Concrete Chimneys (IS:4998 (Part1):1992). New Delhi, India.

[2]. Bureau of Indian Standards. (2015). Criteria for earthquake resistant design of structures. Part 4: Industrial structures including stack-like structure (IS:1893 (Part4):2015), New Delhi, India.

[3]. Kaluram, S., Langhe., & Rathi, V. R. (2016). Analysis of cantilever reinforced concrete chimney with variation in geometry. International Journal for Scientific Research & Development, 4(4), 967-971.

[4]. Khombe, A., Bagali, A., Imran, G., Irayya, R., & Kulkarni, S. R. (2016). Seismic analysis and design of RCC chimney. International Journal of Advance Engineering and Research Development, 3(5), 903-913.

[5]. Lokeshwaran, N., & Pandian, G. A. M. (2014). Effect of Dynamic loads on tall RCC chimneys of different heights with elliptical and circular cross-sections. International Journal of Scientific Engineering and Technology Research, 3(6), 871-875.

[6]. Mosleh, A., Rodrigues, H., Varum, H., Costa, A., & Arêde, A. (2016, August). Seismic behavior of RC building structures designed according to current codes. In Structures (Vol. 7, pp. 1-13). Elsevier.

[7]. Reddy, K. R. C., Jaiswal, O. R., & Godbole, P. N. (2011). Wind and earthquake analysis of tall RC chimneys. International Journal of Earth Sciences and Engineering, 4(6), 508-511.

[8]. Remyasree, A. R., & Vijayan, M. (2016). Non-linear seismic analysis of reinforced concrete chimney. SSRG International Journal of Civil Engineering (SSRG-IJCE), 3(8).

[9]. Sagar, S., & Gudadappanavar, B. (2015). Performance based seismic evaluation of industrial chimneys by static and dynamic analysis. International Research Journal of Engineering and Technology (IRJET), 2(4), 1670-1674.

[10]. Sarkar, R., Shrimal, D., & Goyal, S. (2015). Seismic Analysis of a 275 m tall RCC Multi-flue Chimney: A comparison of IS Code provisions and numerical Approaches. In Advances in Structural Engineering (pp. 1015-1025). Springer, New Delhi.

[11]. Sharvani, T., & Rao, B. D. V. C. M. (2017). Dynamic analysis of RC chimneys. i-manager's Journal on Structural Engineering, 5(4), 30-37.

[12]. Shinde, D. N., & Rajendra, E. P. (2015). Seismic analysis of chimney. International inventive Multidisciplinary Journal, 3(5), 2348-7135.

[13]. Subramani, T., & Shanmugam, P. (2012). Seismic analysis and design of industrial chimneys by using staad pro. International Journal of Engineering Research and Applications (IJERA), 2(4), 154-161.

[14]. Veena, R. N., & Suresh, S.(2016). Analysis and Design of RC Chimney. International Journal of Mechanical Engineering and Information Technology (IJMEIT), 4, 1598- 1603.

[15]. Wilson, J. L. (2003). Earthquake response of tall reinforced concrete chimneys. Engineering Structures, 25(1), 11-24.

[16]. Yoganantham, C., & Santhi, M. S. (2013). Modal analysis of RCC chimney. International Journal of Research in Civil Engineering, Architecture & Design, 1(2), 20-23.

Full Article (HTML)

Pdf

Research Paper

Modal Analysis of Hyperboloidal Shell Structures

A. Kavya Reddy* , B. D. V. Chandra Mohan Rao**

* Department of Civil Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India.

** Professor, Department of Civil Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India.

Reddy, A. K., & Rao, B. D. V. C. M. (2019). Modal Analysis of Hyperboloidal Shell Structures, i-manager's Journal on Civil Engineering, 9(2), 55-61. https://doi.org/10.26634/jce.9.2.16148

Abstract

Hyperboloidal shell structures have applications like cooling towers in thermal power plants. These types of structures have complex geometry and may lead to the failure because of its imperfections in geometry, when subjected to horizontal loads. Geometrical optimization of such structures leads to minimum stresses and deflections and finds out best possible load bearing behavior. This paper deals with the modal analysis of hyperboloidal shell structures of two different heights (143.5 m and 175.5 m). The hyperboloidal shells are modelled by varying height to top diameter ratio (1.5, 1.75, 2.0, 2.25, 2.5) and height to bottom diameter ratio (1.3, 1.35, 1.4, 1.45, 1.5). Free vibration analysis has been carried out for all the models described above to obtain the fundamental natural time periods / frequencies and mode shapes. This analysis has been carried out using ANSYS and finally, some useful conclusions are drawn.

References

[1]. Angelides, M. (2016). Seismic considerations in the design of columns for large cooling towers. Journal of the International Association for Shell and Spatial Structures, 57(1), 67-74.

[2]. Athira, C. R., Rahul, K. R., Sivan, R. R.,Vijayan, S., & Sabu, N. V. (2016). Linear and nonlinear performance evaluation and design of cooling tower at Dahej. IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE), 18-24.

[3]. Castiau, T., & Gaurois, R. (1991). The design of cooling towers in extremely severe earthquake conditions. Engineering Structures, 13(1), 13-20.

[4]. Casucci, D., Andres, M., & Wörmann, R. (2016). Suitability of cooling towers in areas prone to earthquakes. Journal of the International Association for Shell and Spatial Structures, 57(1), 75-82.

[5]. El Ansary, A. M., El Damatty, A. A., & Nassef, A. O. (2011). Optimum shape and design of cooling towers. World Academy of Science, Engineering and Technology, 5, 12- 21.

[6]. Gaikwad, T. G., Gore, N. G., Sayagavi, V. G., Madhavi, K., & Pattiwar, S. (2014). Effect of wind loading on analysis of natural draught hyperbolic cooling tower. International Journal of Engineering and Advanced Technology, 4(1), 34-39.

[7]. He, X., Moaveni, B., Conte, J. P., Elgamal, A., & Masri, S. F. (2009). System identification of Alfred Zampa Memorial Bridge using dynamic field test data. Journal of Structural Engineering, 135(1), 54-66.

[8]. Kulkarni, S., & Kulkarni, A. V. (2014). Modal analysis of reinforced concrete cooling towers. International Journal of Advance Engineering and Research Development, 1(12), 280-289.

[9]. Mahdavi, M., Davoodi, M. R., & Mostafavian, A. (2012). Determination of joint stiffness of a three-story steel frame by finite element model updating. In Proceedings of the 15^th World Conference on Earthquake Engineering (15WCEE).

[10]. Nangshineh, A., Alavi, E., & Rezaee, M. (2013). To study the effect of seismic and wind loads on hyperbolic cooling tower of varying dimension and RCC shell thickness. International Journal of Science and Technology, 1(3), 1-9.

[11]. Nasir, A. M., Thambiratnam, D. P., Butler, D., & Austin, P. (2002). Dynamics of axisymmetric hyperbolic shell structures. Thin-walled Structures, 40(7-8), 665-690.

[12]. Ponath, A. P., & George, M. (2016). Study on buckling behaviour of hyperbolic cooling Towers. International Journal of Engineering Trends and Applications, 3(5), 1-6.

[13]. Vhanungare, Y., & Angalekar, S. S. (2016). Finite Element Analysis of hyperbolic cooling tower by concept of equivalent plate. International Research Journal of Engineering and Technology, 3(7), 1898-1901.

[14]. Viladkar, M. N., Godbole, P. N., & Krishna, P. (1998). Finite element analysis of column supported hyperbolic cooling towers using semi-loof shell and beam elements. Engineering Structures, 20(1-2), 75-85.

[15]. Yong, Y., & Lin, Y. K. (1985). Free and random vibrations of column-supported cooling towers. Journal of Sound and Vibration, 98(4), 539-563.

Full Article (HTML)

Pdf

Research Paper

Influence of Patch Location on Damage Detection of Smart Bar using EMI Technique

Jakkula Sowjanya* , Mallika Alapati**

* PG Scholar, Department of Civil Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India.

** Professor & Head, Department of Civil Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India.

Sowjanya, J., & Alapati, M. (2019). Influence of Patch Location on Damage Detection of Smart Bar using EMI Technique, i-manager's Journal on Civil Engineering, 9(2), 62-68. https://doi.org/10.26634/jce.9.2.16147

Abstract

The use of PZT (Piezoelectric Ceramic Lead Zirconate titanate) transducers is increasing in the structural health monitoring in identifying the damage parameters like corrosion, cracks, etc. A Mass and stiffness change due to corrosion in the steel bar is going to influence the structural responses to change. This results in a change of conductance signatures which serve as an indicator of the state of health of the structure. Based on the changes in the conductance signatures of the healthy and damaged bar, the damage extent and location can be identified. In the present study, the conductance signatures of a smart cantilever bar actuated by the PZT patch by voltage excitation are studied. The effect of vibrations on the admittance signatures of the healthy and the corroded smart bar are studied for various patch locations. From the peak shifts of current output obtained for pristine and the corroded bar, it is found that change in EMI signatures serves as a sensitive diagnostic tool in the damage detection and also the patch location plays a significant role in the damage detection.

References

[1]. Bhalla, S., & Soh, C. K. (2004). Electromechanical impedance modeling for adhesively bonded piezo-transducers. Journal of Intelligent Material Systems and Structures, 15(12), 955-972.

[2]. Bhalla, S., Yang, Y. W., Zhao, J., & Soh, C. K. (2005). Structural health monitoring of underground facilities - technological issues and challenges. Tunnelling and Underground Space Technology, 20(5), 487-500.

[3]. Ing, M. J., Austin, S. A., & Lyons, R. (2003, June). Condition monitoring of reinforced concrete structures at risk from reinforcement corrosion. In Anumba, C. J. (Ed.). Innovative Developments in Architecture. In Engineering and Construction: Proceedings of the 2^ndInternational Conference on Innovation in Architecture, Engineering and Construction (pp. 215-226). IOS Press.

[4]. Liang, C., Sun, F. P., & Rogers, C. A. (1997). Coupled electro-mechanical analysis of adaptive material systemsdetermination of the actuator power consumption and system energy transfer. Journal of Intelligent Material Systems and Structures, 8(4), 335-343.

[5]. Naidu, A. S. K., & Soh, C. K. (2004a). Damage severity and propagation characterization with admittance signatures of piezo transducers. Smart Materials and Structures, 13(2), 393.

[6]. Naidu, A. S. K., & Soh, C. K. (2004b). Identifying damage location with admittance signatures of smart piezo-transducers. Journal of Intelligent Material Systems and Structures, 15(8), 627-642.

[7]. Park, S., & Park, S. K. (2010). Quantitative corrosion monitoring using wireless electromechanical impedance measurements. Research in Nondestructive Evaluation, 21(3), 184-192.

[8]. Providakis, C. P., Angeli, G. M., Favvata, M. J., Papadopoulos, N. A., Chalioris, C. E., & Karayannis, C. G. (2014). Detection of concrete reinforcement damage using piezoelectric materials-Analytical and experimental study. International Journal of Civil, Architectural, Structural and Construction Engineering, 8(2), 197-205.

[9]. Qin, L., Qin, Q., Ren, H., Dong, B., & Xing, F. (2014). Corrosion monitoring using embedded piezoelectric sensors. Open Civil Engineering Journal, 8, 201-204.

[10]. Rothwell, G. P. (1978). Corrosion monitoring: Some techniques and applications. NDT International, 11(3), 108- 111.

[11]. Shendre, L. R., & Bhamare V. G. (2017). The analysis of aluminium cantilever beam with piezoelectric material by changing position of piezo patch over length of the beam. International Research Journal of Engineering and Technology, 4(7), 847-855.

[12]. Song, G., Gu, H., Mo, Y. L., Hsu, T. T. C., & Dhonde, H. (2007). Concrete structural health monitoring using embedded piezoceramic transducers. Smart Materials and Structures, 16(4), 959.

[13]. Talakokula, V., Bhalla, S., & Gupta, A. (2014). Corrosion assessment of reinforced concrete structures based on equivalent structural parameters using electromechanical impedance technique. Journal of Intelligent Material Systems and Structures, 25(4), 484-500.

[14]. Tawie, R., & Lee, H. K. (2010). Piezoelectric-based nondestructive monitoring of hydration of reinforced concrete as an indicator of bond development at the steel-concrete interface. Cement and Concrete Research, 40(12), 1697- 1703.

[15]. Yang, Y., Hu, Y., & Lu, Y. (2008). Sensitivity of PZT impedance sensors for damage detection of concrete structures. Sensors, 8(1), 327-346.

i-manager's Journal on Civil Engineering (JCE)

Current Issue Vol. 14 Issue 3

Most Read

Most Cited

Volume 9 Issue 2 March - May 2019

Amin Zoratipour * , Marjan Firoozy Nejad**

* Assistant Professor, Department of Nature Engineering, Agricultural Sciences and Natural Resources University of Khuzestan, Iran. ** Instructor, Department of Nature Engineering, Agricultural Sciences and Natural Resources University of Khuzestan, Iran.

Zoratipour, A., & Nejad, M. F. (2019). Investigating Urban Industrialization and the Creation of Heat Islands. i-manager's Journal on Civil Engineering, 9(2), 1-8. https://doi.org/10.26634/jce.9.2.14865

Abstract

References

Full Article (HTML)

Pdf

Rekha Singh* , Sanjay Goel**

* Research Scholar, Department of Civil Engineering, I.K.G Punjab Technical University, Jalandhar, Punjab, India. ** Assistant Professor, Department of Civil Engineering, DAV Institute of Engineering and Technology, Jalandhar, Punjab, India.

Singh, R., & Goel, S. (2019). Acid and Sulphate Resistance of Limestone Blended Pervious Concrete, i-manager's Journal on Civil Engineering, 9(2), 9-16. https://doi.org/10.26634/jce.9.2.15130

Abstract

References

Full Article (HTML)

Pdf

Srinivasa Kumar* , K. Vasudha**, P. V. S. Koteswar Rao***, K. Smitha****

Kumar, S. R., Vasudha, K., Rao, P. V. S. K., & Smitha, K. (2019). Performance Evaluation of Toll Plazas using Queuing Theory, i-manager's Journal on Civil Engineering, 9(2), 17-23. https://doi.org/10.26634/jce.9.2.14674

Abstract

References

Full Article (HTML)

Pdf

Janhabi Meher*

Assistant Professor, Department of Civil Engineering, VSSUT, Burla, Odisha, India.

Meher, J. (2019). Missing Discharge Data Filling with Artificial Neural Network, i-manager's Journal on Civil Engineering, 9(2), 24-30. https://doi.org/10.26634/jce.9.2.14657

Abstract

References

Full Article (HTML)

Pdf

S. Kavitha* , T. Felix Kala**

* Associate Professor, Department of Civil Engineering, ACS College of Engineering, Bangalore, Karnataka, India. ** Dean, Dr. M.G.R. Educational and Research Institute, Chennai, Tamil Nadu, India.

Kavitha, S., & Kala, F. T. (2019). Investigations on Seismic Behavior of Bamboo Fibre Reinforced Self Compacting Concrete Exterior Beam Column Joint, i-manager's Journal on Civil Engineering, 9(2), 31-36. https://doi.org/10.26634/jce.9.2.14713

Abstract

References

Full Article (HTML)

Pdf

Garimella Raghu Chandra* , Vedala Rama Sastry**, S. Parvathy***

Chandra, G. R., Sastry, V. R., & Parvathy, S. (2019). Numerical Modelling Based Impact of Ground Vibrations, i-manager's Journal on Civil Engineering, 9(2), 37-45. https://doi.org/10.26634/jce.9.2.16149

Abstract

References

Full Article (HTML)

Pdf

S. Isha Patel* , B. D. V. Chandra Mohan Rao**

* Department of Civil Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India. ** Professor, Department of Civil Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India.

Patel, S. I., & Rao, B. D. V. C. M. (2019). Effect of Geometric Parameters on Seismic Performance of RC Chimneys, i-manager's Journal on Civil Engineering, 9(2), 46-54. https://doi.org/10.26634/jce.9.2.16150

Abstract

References

Full Article (HTML)

Pdf

A. Kavya Reddy* , B. D. V. Chandra Mohan Rao**

* Department of Civil Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India. ** Professor, Department of Civil Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India.

Reddy, A. K., & Rao, B. D. V. C. M. (2019). Modal Analysis of Hyperboloidal Shell Structures, i-manager's Journal on Civil Engineering, 9(2), 55-61. https://doi.org/10.26634/jce.9.2.16148

Abstract

References

Full Article (HTML)

Pdf

Jakkula Sowjanya* , Mallika Alapati**

* PG Scholar, Department of Civil Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India. ** Professor & Head, Department of Civil Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India.

Sowjanya, J., & Alapati, M. (2019). Influence of Patch Location on Damage Detection of Smart Bar using EMI Technique, i-manager's Journal on Civil Engineering, 9(2), 62-68. https://doi.org/10.26634/jce.9.2.16147

Abstract

References

Full Article (HTML)

Pdf

* Assistant Professor, Department of Nature Engineering, Agricultural Sciences and Natural Resources University of Khuzestan, Iran.

** Instructor, Department of Nature Engineering, Agricultural Sciences and Natural Resources University of Khuzestan, Iran.

* Research Scholar, Department of Civil Engineering, I.K.G Punjab Technical University, Jalandhar, Punjab, India.

** Assistant Professor, Department of Civil Engineering, DAV Institute of Engineering and Technology, Jalandhar, Punjab, India.

Srinivasa Kumar* , K. Vasudha, P. V. S. Koteswar Rao*, K. Smitha****

* Associate Professor, Department of Civil Engineering, ACS College of Engineering, Bangalore, Karnataka, India.

** Dean, Dr. M.G.R. Educational and Research Institute, Chennai, Tamil Nadu, India.

Garimella Raghu Chandra* , Vedala Rama Sastry, S. Parvathy*

* Department of Civil Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India.

** Professor, Department of Civil Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India.

* Department of Civil Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India.

** Professor, Department of Civil Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India.

* PG Scholar, Department of Civil Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India.

** Professor & Head, Department of Civil Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India.