Structural monitoring for asset management of railway bridges

Author:

Banerji Pradipta1,Chikermane Sanjay2,Scott Richard3,Surre Frederic4,Sun Tong3,Grattan Ken T. V.5,Longthorne John6

Affiliation:

1. Professor, Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee, India

2. Assistant Professor, Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee, India

3. Professor, School of Engineering and Mathematical Sciences, City University London, London, UK

4. Lecturer, School of Engineering and Mathematical Sciences, City University London, London, UK

5. Professor, City Graduate School, City University London, London, UK

6. Director, AECOM, Newcastle upon Tyne, UK

Abstract

This paper demonstrates the advantages of site monitoring to aid modelling of the existing condition of a railway bridge with structural problems and to assess the current structure and future remediation. The authors undertook monitoring and assessment on a major 28-span post-tensioned prestressed concrete box-girder bridge on a strategically important railway line in India. The bridge exhibited significant longitudinal web cracking, which restricted its load-carrying capacity to relatively light urban passenger rolling stock. Monitoring of rail traffic was supplemented by full-scale load tests for both static and dynamic loading. Optical strain sensors and electric resistance strain gauges were used for strain measurement and piezoelectric sensors were used to record accelerations. Sensors were also installed to record crack widths. A programme of numerical modelling was undertaken with finite-element models developed for both cracked and uncracked conditions. Results were compared with field data and the models were then refined to achieve a representative model for use as a predictive tool for future assessment and structural remediation of the bridge.

Publisher

Thomas Telford Ltd.

Subject

Building and Construction,Civil and Structural Engineering

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3