System Identification and Finite Element Model Updating of a Multi- Span Railway Bridge with Uncertain Boundary Conditions

Mathias Torp, Jakob Braaten Johnsen, E. Erduran
{"title":"System Identification and Finite Element Model Updating of a Multi- Span Railway Bridge with Uncertain Boundary Conditions","authors":"Mathias Torp, Jakob Braaten Johnsen, E. Erduran","doi":"10.2749/prague.2022.0491","DOIUrl":null,"url":null,"abstract":"This study presents the implementation of a sensitivity-based finite element model updating process on a 48.6 m long, multi-span, reinforced concrete railway bridge located in Stange, Norway. Lack of documentation and uncertainties surrounding the boundary conditions combined with unrealistic dynamic response obtained from dynamic analysis using a finite element model based on the design drawings prompted the need for monitoring of the vibrations on the bridge followed by identification of modal properties and development of an updated finite element model which can more accurately represent the as-built structure.For this purpose, the railway bridge was instrumented and vibration data from operational conditions was collected. Using the covariance- driven stochastic subspace identification method, the modal properties of the bridge were identified from the recorded vibrations. Comparison of the identified mode shapes with those obtained from the documentation-based initial finite element model showed significant discrepancies depicting the shortcomings of the initial model. A comprehensive sensitivity analysis and iterative finite element model updating was undertaken with a specific focus on the boundary conditions to obtain a FE model that can replicate the observed behaviour. As a result, the correlation between the observed and computed mode shapes were increased to 89% from 61% and the average error in the first four natural frequencies was reduced to 10% from 23%. Comparison of the initial and updated finite element models highlighted the significance of the boundary conditions on the dynamic behaviour of the bridge.","PeriodicalId":168532,"journal":{"name":"IABSE Symposium, Prague 2022: Challenges for Existing and Oncoming Structures","volume":"69 6","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IABSE Symposium, Prague 2022: Challenges for Existing and Oncoming Structures","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2749/prague.2022.0491","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This study presents the implementation of a sensitivity-based finite element model updating process on a 48.6 m long, multi-span, reinforced concrete railway bridge located in Stange, Norway. Lack of documentation and uncertainties surrounding the boundary conditions combined with unrealistic dynamic response obtained from dynamic analysis using a finite element model based on the design drawings prompted the need for monitoring of the vibrations on the bridge followed by identification of modal properties and development of an updated finite element model which can more accurately represent the as-built structure.For this purpose, the railway bridge was instrumented and vibration data from operational conditions was collected. Using the covariance- driven stochastic subspace identification method, the modal properties of the bridge were identified from the recorded vibrations. Comparison of the identified mode shapes with those obtained from the documentation-based initial finite element model showed significant discrepancies depicting the shortcomings of the initial model. A comprehensive sensitivity analysis and iterative finite element model updating was undertaken with a specific focus on the boundary conditions to obtain a FE model that can replicate the observed behaviour. As a result, the correlation between the observed and computed mode shapes were increased to 89% from 61% and the average error in the first four natural frequencies was reduced to 10% from 23%. Comparison of the initial and updated finite element models highlighted the significance of the boundary conditions on the dynamic behaviour of the bridge.
边界条件不确定的多跨铁路桥梁系统辨识及有限元模型修正
本研究介绍了基于灵敏度的有限元模型更新过程在挪威斯坦格一座48.6米长、多跨、钢筋混凝土铁路桥上的实施。由于文献资料的缺乏和边界条件的不确定性,再加上基于设计图纸的有限元模型的动力分析得出的不现实的动力响应,因此需要对桥梁的振动进行监测,然后识别模态特性,并开发更新的有限元模型,以更准确地代表建成后的结构。为此,对铁路桥进行了测量,并收集了运行工况下的振动数据。采用协方差驱动的随机子空间识别方法,从记录的振动中识别出桥梁的模态特性。将识别出的模态振型与基于文档的初始有限元模型得到的振型进行比较,发现了描述初始模型缺陷的显著差异。进行了全面的灵敏度分析和迭代有限元模型更新,特别关注边界条件,以获得可以复制观察到的行为的有限元模型。结果,观测和计算的模态振型之间的相关性从61%增加到89%,前四个固有频率的平均误差从23%减少到10%。初始有限元模型和更新有限元模型的比较突出了边界条件对桥梁动力性能的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信