i-manager Publications

Volume 13 Issue 2 April - June 2023

Research Paper

Creep of Concrete Incorporated with Marble Powder

Syed Afzal Basha* , B. Jayarami Reddy**

* G Pullaiah College of Engineering and Technology, Kurnool, Andhra Pradesh, India.

** Rajiv Gandhi University of Knowledge Technologies, Ongole Campus, Andhra Pradesh, India.

Basha, S. A., and Reddy, B. J. (2023). Creep of Concrete Incorporated with Marble Powder. i-manager's Journal on Civil Engineering, 13(2), 1-13. https://doi.org/10.26634/jce.13.2.19834

Abstract

This study presents an experimental investigation of the mechanical properties of concrete incorporating Kadapa Marble Powder (KMP) as an additional cementitious material. It focuses on varying the content of KMP (ranging from 0% to 15% by weight of cement) and conducting tests on compressive strength, modulus of elasticity, and creep. The replacement of cement with KMP led to improvements in the compressive strength and modulus of elasticity, and the incorporation of KMP contributed to a reduction in the creep phenomenon of concrete over time. The beneficial effects of KMP can be attributed to its ability to react with calcium hydroxide generated during cement hydration. This reaction results in the production of additional calcium silicate hydrate, which fills voids and large pores within the concrete matrix. As a result, the porosity associated with the capillary pores and voids decreased. This observation was supported by the examination of the microstructure of hardened concrete using scanning electron microscope techniques. The presence of KMP enhanced cement hydration and contributed to a reduction in the porosity associated with the gel pores. This was attributed to the release of absorbed water retained in the small pores of the KMP particles. This study highlighted the potential of incorporating KMP as a beneficial cementitious material for concrete production. These findings suggest that KMP can enhance the mechanical properties of concrete, including the compressive strength and modulus of elasticity, while mitigating the creep phenomenon. The analysis also provides insights into the microstructural changes that occur in concrete due to the inclusion of the KMP.

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Research Paper

Evaluation of Probability Distributions for Estimation of Peak Flood Discharge using FFA Approach

N. Vivekanandan*

Central Water and Power Research Station, Pune, Maharashtra, India.

Vivekanandan, N. (2023). Evaluation of Probability Distributions for Estimation of Peak Flood Discharge using FFA Approach. i-manager's Journal on Civil Engineering, 13(2), 14-20. https://doi.org/10.26634/jce.13.2.19947

Abstract

The estimation of Peak Flood Discharge (PFD) for a specific return period is of paramount importance in hydrological studies for the planning, design, and management of civil and hydraulic structures. This research investigates the evaluation of probability distributions through statistical tests, viz., the Chi-Square, Kolmogorov-Smirnov, and D-index. These tests aid in estimating the PFD using the Flood Frequency Analysis (FFA) approach for the Tapi River at Prakasha Barrage. In this analysis, various distributions from the extreme value family such as Extreme Value Type-1, Extreme Value Type-2, Generalized Extreme Value (GEV), and Pareto, were employed in the FFA. The distribution parameters are determined by standard techniques, such as the method of moments, Maximum Likelihood Method (MLM), and the Method of L-Moments (LMO). A qualitative assessment, along with the D-index value, was employed to select the most suitable distribution for the analyzed data. This study demonstrates that among the four distributions adopted in FFA, the GEV (LMO) distribution exhibits the best fit. Furthermore, this research suggests the use of PFDs derived from the GEV (LMO) distribution for design purposes.

References

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[3]. Koyejo, S. O., Akomolafe, A. A., Awogbemi, C. A., & Oladimeji, A. O. (2020). Extension of comparative analysis of estimation methods for Frechet distribution parameters. International Journal of Research and Innovation in Applied Science, 5(4), 58-75.

[4]. Lima, C.H., Lall, U., Troy, T., & Devineni, N. (2016). A hierarchical Bayesian GEV model for improving local and regional flood quantile estimates. Journal of Hydrology, 541, 816- 823.

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Research Paper

Experimental Investigation on Concrete by Partial Replacement of Fine Aggregate with Ceramic Powder

Ruthrapriya P.* , R. Hariprabam, P. Ragunathapandian*

*-*** Department of Structural Engineering, Arulmigu Meenakshi Amman College of Engineering, Vadamavandal, Thiruvannamalai District, Tamilnadu, India.

Ruthrapriya, P., Hariprabam, R., and Ragunathapandian, P. (2023). Experimental Investigation on Concrete by Partial Replacement of Fine Aggregate with Ceramic Powder. i-manager's Journal on Civil Engineering, 13(2), 21-29. https://doi.org/10.26634/jce.13.2.19815

Abstract

An enormous amount of industrial waste is generated annually by India's manufacturing sector, and unless resources are efficiently conserved and managed, this problem will continue to worsen. This waste contains nearly a million tons of ceramic debris. India accounts for over 6% of global manufacturing, and currently ranks third in terms of consumption. Similarly, a significant amount of waste is generated after tile utilization, and its disposal poses a challenge. With extensive construction and infrastructure development, natural sand is rapidly being depleted from water sources. This research proposes a suitable replacement for fine aggregates by effectively utilizing ceramic waste powder in concrete, which can address the issues of fine aggregate replenishment and the disposal of broken ceramic tiles.

References

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Research Paper

Transportation Planning using Activity-Based Travel Demand Model

Ramesh Kumar*

Department of Civil Engineering, Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India.

Kumar, R. (2023). Transportation Planning using Activity-Based Travel Demand Model. i-manager's Journal on Civil Engineering, 13(2), 30-37. https://doi.org/10.26634/jce.13.2.19944

Abstract

According to Bangalore's Transportation Department, the number of transport vehicles in the city will be close to 85.6 lakh two wheelers, 50 lakh automobiles, and 20 lakh transport vehicles by the end of 2023. Two-wheelers account for 58.41% of all vehicles, while Light Motor Vehicles (LMVs) account for 22%, Heavy Motor Vehicle (HMVs) for 11%, and other vehicles account for 8.59%. Therefore, there is a need for efficient transportation planning. From earlier research, it was found that activity-based modeling is more efficient for evaluation. In this study, a method was proposed to develop an activity-based travel demand model for the selected zones of Bangalore city, and work trips were generated from the Global Tech Park. The trips were monitored, and it was found that people came from all around Bengaluru. Four zones in Bengaluru were chosen for this study because they provided the most travel to the Global Tech Park. The four zones were Kengeri, Mylasandra, RR Nagar, and Vijaynagar. The data were collected through individual person surveys, considering the influential parameters in developing person tours. The collected data were analyzed using SPSS software, and models were developed based on parameters such as age, sex, monthly income, distance traveled, active travel, daily travel cost, and vehicle ownership. The results obtained in the form of the models were compared with those of traditional models. In addition, the factors influencing the trips of each individual were studied, and the effects of these factors were analyzed. The results obtained were satisfactory in terms of the R2 value and other testing parameters. From the primary data analysis, it was found that the preference for modal choices of the public increased from public transport (i.e., buses) to private transport (i.e., owned cars) as per the increase in age, income, professions, travel distance, and daily travel cost.

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Review Paper

Fatigue Life Prediction of Concrete Bridges using Wireless Sensors - A Review

V. Guru Rupesh* , B. Vidya**

*-** Department of Civil Engineering, Gayatri Vidya Parishad College for Degree and PG Courses (A), Visakhapatnam, Andhra Pradesh, India.

Rupesh, V. G., and Vidya, B. (2023). Fatigue Life Prediction of Concrete Bridges using Wireless Sensors - A Review. i-manager's Journal on Civil Engineering, 13(2), 38-54. https://doi.org/10.26634/jce.13.2.19841

Abstract

This study evaluates the works carried out for fatigue life prediction of reinforced concrete girders and columns in concrete bridges, utilizing the guidelines outlined by the Indian Road Congress (IRC). To accurately predict fatigue damage on bridges, a dynamic bridge-vehicle interaction model was employed to capture the effects of trafficinduced dynamic loads. The time to the first cracking distribution function was calculated using a dedicated model, enabling the assessment of fatigue life under various amplitude loading scenarios. The model incorporates S-N curves and Miner's rule, which are widely used techniques for measuring fatigue on structures, to evaluate the cumulative damage caused by cyclic loading. Wireless sensors were used in structural monitoring systems to monitor the health of bridges. This paper describes investigations that assess the performance of wireless strain-monitoring devices. These advanced systems offer improved efficiency, cost-effectiveness, and ease of installation compared with traditional monitoring systems. The research presented herein aims to provide a comprehensive approach for evaluating and predicting the fatigue life of reinforced concrete girders and columns in bridges. The proposed model, combined with dynamic bridge-vehicle interaction simulations and wireless strain monitoring devices, offers a robust framework for bridge engineers to effectively assess the structural integrity and maintenance needs of concrete bridges, ultimately enhancing their durability and safety.

References

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[5]. Gallucci, L., Menna, C., Angrisani, L., Asprone, D., Schiano Lo Moriello, R., Bonavolontà, F., & Fabbrocino, F. (2017). An embedded wireless sensor network with wireless power transmission capability for the structural health monitoring of reinforced concrete structures. Sensors, 17(11), 2566.

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

Current Issue Vol. 13 Issue 4

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Volume 13 Issue 2 April - June 2023

Creep of Concrete Incorporated with Marble Powder

Syed Afzal Basha* , B. Jayarami Reddy**

* G Pullaiah College of Engineering and Technology, Kurnool, Andhra Pradesh, India. ** Rajiv Gandhi University of Knowledge Technologies, Ongole Campus, Andhra Pradesh, India.

Basha, S. A., and Reddy, B. J. (2023). Creep of Concrete Incorporated with Marble Powder. i-manager's Journal on Civil Engineering, 13(2), 1-13. https://doi.org/10.26634/jce.13.2.19834

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Evaluation of Probability Distributions for Estimation of Peak Flood Discharge using FFA Approach

N. Vivekanandan*

Central Water and Power Research Station, Pune, Maharashtra, India.

Vivekanandan, N. (2023). Evaluation of Probability Distributions for Estimation of Peak Flood Discharge using FFA Approach. i-manager's Journal on Civil Engineering, 13(2), 14-20. https://doi.org/10.26634/jce.13.2.19947

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Experimental Investigation on Concrete by Partial Replacement of Fine Aggregate with Ceramic Powder

Ruthrapriya P.* , R. Hariprabam**, P. Ragunathapandian***

*-*** Department of Structural Engineering, Arulmigu Meenakshi Amman College of Engineering, Vadamavandal, Thiruvannamalai District, Tamilnadu, India.

Ruthrapriya, P., Hariprabam, R., and Ragunathapandian, P. (2023). Experimental Investigation on Concrete by Partial Replacement of Fine Aggregate with Ceramic Powder. i-manager's Journal on Civil Engineering, 13(2), 21-29. https://doi.org/10.26634/jce.13.2.19815

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Transportation Planning using Activity-Based Travel Demand Model

Ramesh Kumar*

Department of Civil Engineering, Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India.

Kumar, R. (2023). Transportation Planning using Activity-Based Travel Demand Model. i-manager's Journal on Civil Engineering, 13(2), 30-37. https://doi.org/10.26634/jce.13.2.19944

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Fatigue Life Prediction of Concrete Bridges using Wireless Sensors - A Review

V. Guru Rupesh* , B. Vidya**

*-** Department of Civil Engineering, Gayatri Vidya Parishad College for Degree and PG Courses (A), Visakhapatnam, Andhra Pradesh, India.

Rupesh, V. G., and Vidya, B. (2023). Fatigue Life Prediction of Concrete Bridges using Wireless Sensors - A Review. i-manager's Journal on Civil Engineering, 13(2), 38-54. https://doi.org/10.26634/jce.13.2.19841

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* G Pullaiah College of Engineering and Technology, Kurnool, Andhra Pradesh, India.

** Rajiv Gandhi University of Knowledge Technologies, Ongole Campus, Andhra Pradesh, India.

Ruthrapriya P.* , R. Hariprabam, P. Ragunathapandian*