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

Volume 9 Issue 2 March - May 2019

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.

Modal Analysis of Hyperboloidal Shell Structures

Volume 9 Issue 2 March - May 2019

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.

Effect of Geometric Parameters on Seismic Performance of RC Chimneys

Volume 9 Issue 2 March - May 2019

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.

Numerical Modelling Based Impact of Ground Vibrations

Volume 9 Issue 2 March - May 2019

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.

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

Volume 9 Issue 2 March - May 2019

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.

Missing Discharge Data Filling with Artificial Neural Network

Volume 9 Issue 2 March - May 2019

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.

Performance Evaluation of Toll Plazas using Queuing Theory

Volume 9 Issue 2 March - May 2019

Research Paper

Performance Evaluation of Toll Plazas using Queuing Theory

R. 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.