i-manager's Journal on Structural Engineering (JSTE)


Volume 3 Issue 1 March - May 2014

Research Paper

Comparative Analysis of Elevated Water Storage Structure using Different Typesof Bracing Patterns in Staging

Gaurav S. Atalkar* , 0**
* M.Tech Student, Civil Engineering Department, ShriRamdeobaba College of Engineering & Management, Nagpur, India.
** Assistant Professor, Civil Engineering Department,ShriRamdeobaba College of Engineering & Management, Nagpur, India.
Atalkar, G.S., and Gharad, A.M. (2014). Comparative Analysis of Elevated Water Storage Structure using Different Types of Bracing Patterns in Staging. i-manager’s Journal on Structural Engineering, 3(1), 1-6. https://doi.org/10.26634/jste.3.1.2978

Abstract

From the very upsetting experiences of few earthquakes, like the Bhuj earthquake in India (DurgeshC. Rai 2003), R.C.C elevated water tanks were heavily damaged or collapsed. This might be due to lack of knowledge regarding the proper behavior of supporting pattern of the tank due to dynamic effect and improper geometrical selection of staging. The main aim of this study is (i) to understand the behavior of different staging, under different loading conditions (ii) to strengthen the conventional type of staging during earthquake. Seismic coefficient method, for five different types of bracing patterns, is applied to the staging of elevated circular water tank in zone IV, and is carried out using STAAD Pro. V8i. Comparison of base / storey shear and nodal displacements of the container of circular water tank for empty, half filled and full condition is done. Alternate diagonal bracing pattern for staging yields the optimum value of base shear and displacement, compared to other patterns that are studied.

Research Paper

Modelling Annual Rainfall of Krishna and Godavari River Basins using Extreme Value Type-1 Distribution

Vivekanandan N.*
*Assistant Research Officer, Hydrometeorology Division, Central Water and Power Research Station, Pune, Maharashtra, India.
Vivekanandan, N. (2014). Modelling Annual Rainfall of Krishna and Godavari River Basins using Extreme Value Type-1 Distribution. i-manager’s Journal on Structural Engineering, 3(1), 7-12. https://doi.org/10.26634/jste.3.1.2979

Abstract

Assessment of annual rainfall for a river basin is of utmost importance for planning, design and management of water resources projects. This paper illustrates the use of six parameter estimation methods of Extreme Value Type-1 (EV1) distribution for modelling annual rainfall of Krishna and Godavari river basins. Goodness-of-Fit (GoF) tests such as Anderson-Darling and Kolmogorov-Smirnov are used for checking the adequacy of fitting of EV1 distribution to the recorded rainfall data. A diagnostic test of root mean square error is used for the selection of a suitable method for modelling annual rainfall. Based on GoF and diagnostic test results, probability weighted moments is identified as best suited method for modelling annual rainfall of Krishna and Godavari river basins.

Research Paper

Parametric Optimization of Alkali Activated F-Type Flyash-Based Geopolymer Concrete

Kolli Ramujee* , P. Hanumantha Rao**, M. Potharaju***, Radhakrishna****
* Associate Professor, Department of Civil Engineering, VNR VignanaJyothi Institute of Engineering & Technology, Hyderabad.
** P.G student, Department of Civil Engineering, VNR VignanaJyothi Institute of Engineering & Technology, Hyderabad
*** Professor of Civil Engineering, GITAM University, Visakhapatnam.
**** Dean P.G studies, R V College of Engineering, Bangalore.
Ramujee, K., Hanumantharao, R., Potharaju, M., and Radhakrishna (2014). Parametric Optimization of Alkali Activated F-Type Flyash-Based Geopolymer Concretee. i-manager’s Journal on Structural Engineering, 3(1), 13-19. https://doi.org/10.26634/jste.3.1.2980

Abstract

This paper describes the effects of various optimized parameters on the properties of fly ash based geopolymer concrete, especially the compressive strength, density and workability have been investigated. The effect of various optimized parameters related to alkaline activator such as molar concentration of sodium hydroxide solution in the range of 8M-16M, mass ratio of alkaline liquid to fly-ash in the range of 0.4 and 0.33, the rest period in the range of 1- 5days, the curing time and curing temperature in the range of 24-72 hours and 60-100°C respectively were considered. The geopolymer concrete test specimens of cube size 150 x 150 x 150 mm were tested for their compressive strength at the age of 3,7 ,14 and 28 days. The compressive strength of geopolymer concrete ranging from 24 to 63MPa have been developed. Test results show that the compressive strength increases with increase in molar concentration of sodium hydroxide solution duration of oven curing, curing temperature and rest period .The compressive strength of geopolymer concrete decreases with increase in Alkaline liquid to Fly ash ratio. For alkaline liquid, the ratio of Sodium Silicate solution to Sodium hydroxide solution was fixed as 2.5 and the dosage of Super plasticizer maintained constant as 2 % by weight of fly ash. The experimental investigation concludes that some parameters are in disagreement with the results reported in past literature and some other parameters are in agreement with the available literature.

Research Paper

Acoustic Emission Health Assessment with Artificial Intelligence on the Composite Cross Ply Laminates.

T. Sasikumar* , Nanda Kumar. S**
*-** Centre for Research, Department of Mechanical Engineering, Lord Jegannath College of Engineering and Technology, Tamilnadu, India.
Sasikumar, T., and Kumar, S.N. (2014). Acoustic Emission Health Assessment with Artificial Intelligence on the Composite Cross Ply Laminates. i-manager’s Journal on Structural Engineering, 3(1), 20-26. https://doi.org/10.26634/jste.3.1.2981

Abstract

Three point bending test on cross ply laminates leads to the activation of distinct damage mechanism, such as matrix cracking, de-lamination between the adjutant plies and the fibre breakage at various stages of loading. This study deals with the investigation of the failure of the cross ply laminates using acoustic emission (AE). Broad band AE sensors monitor the elastic waves originating from different sources of failure in coupons while loading. AE signals for different failure modes have been analysed with respect to their parameters. Assessing the health condition of the composite laminate in advance to its ultimate failure while loading is the complimentary method and much useful to the composite industry. AE data acquired until 50% of the ultimate failure load was utilised for both graphical and artificial intelligence prediction of the approximate failure load of composite specimen within the safer limit, so that the structural integrity degradation during the health assessment test is significantly reduced. Both graphical and Artificial Neural Network (ANN) method of prediction have been successfully carried out and good correlation was found between them. Feed forward back propagation network with 22 middle layer neuron was able to map the pattern of failure present in the acoustic emission data and predict the ultimate failure load well in advance.

Research Paper

GIS Based Bridge Management System (BMS) for Urban Agglomerate

Sandeep Gupta* , Garg P.K.**, Ghosh S.K***
* Department of Civil Engineering, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India.
**-*** Department of Civil Engineering, Indian Institute of Technology, Roorkee, Uttarakhand, India.
Gupta, S., Garg, P.K., and Ghosh, S.K. (2014). GIS Based Bridge Management System (BMS) for Urban Agglomerate. i-manager’s Journal on Structural Engineering, 3(1), 27-31. https://doi.org/10.26634/jste.3.1.2982

Abstract

A Bridge Management System (BMS) has been developed as a component of Road Information and Management System (RIMS) for Dehradun urban agglomerate with the main objective to obtain accurate, up-to-date bridge information which may result in proper management of the bridges. It provides bridge information, like geographical location, structure, width, railing type, footpath and bridge maintenance requirements on visual inspection basis etc. The geospatial techniques, like GIS and GPS make the process of data collection and analyses easy, faster and economical. This paper also outlines the data requirements for the development of a BMS.