Model Updating for a Continuous Concrete Girder Bridge Using Data from Construction Monitoring
Finite element (FE) model updating can guarantee the accuracy of the numerical analyses for civil structures. However, two deficiencies currently exist with the traditional FE model updating technique based on the measurements of modal parameters and/or the static structural responses of the built s...
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MDPI AG
2023-03-01
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Online Access: | https://www.mdpi.com/2076-3417/13/6/3422 |
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author | Xiao-Xiang Cheng |
author_facet | Xiao-Xiang Cheng |
author_sort | Xiao-Xiang Cheng |
collection | DOAJ |
description | Finite element (FE) model updating can guarantee the accuracy of the numerical analyses for civil structures. However, two deficiencies currently exist with the traditional FE model updating technique based on the measurements of modal parameters and/or the static structural responses of the built structure with respect to its reference information insufficiency and its non-unique solution generally obtained, hampering its extensive use. It becomes the goal of the whole engineering community to introduce new effective methods for the civil structural FE model update. To this end, an innovative FE model updating method using data from construction monitoring is proposed in this article. With regard to its theoretical novelty, the new method transforms the complicated multi-variable optimization mathematical problem with the traditional FE model updating technique into many simple single-variable parameter identification problems. Under the engineering background of Huangsha Harbor Bridge, a three-span concrete continuous box girder bridge constructed utilizing the symmetric cantilever casting method, the effectiveness and the efficiency of the new model updating practice were validated. It is demonstrated using quantitative data that the abundant data measured on Huangsha Harbor Bridge in construction stages can enhance the reference information for the more accurate FE model updating of the structure, and the uncertain parameters with the initial FE model of Huangsha Harbor Bridge can be progressively and easily identified for the proposed model updating method using many single-variable linear regression models, instead of one complicated multi-variable mathematical or numerical model employed by the traditional model updating approaches, which generally leads to non-unique solutions rendered by normal optimization algorithms. |
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language | English |
last_indexed | 2024-03-11T06:59:24Z |
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spelling | doaj.art-40640bde2bfe4145bb48bb8b572669252023-11-17T09:21:28ZengMDPI AGApplied Sciences2076-34172023-03-01136342210.3390/app13063422Model Updating for a Continuous Concrete Girder Bridge Using Data from Construction MonitoringXiao-Xiang Cheng0School of Civil Engineering, Southeast University, Nanjing 211189, ChinaFinite element (FE) model updating can guarantee the accuracy of the numerical analyses for civil structures. However, two deficiencies currently exist with the traditional FE model updating technique based on the measurements of modal parameters and/or the static structural responses of the built structure with respect to its reference information insufficiency and its non-unique solution generally obtained, hampering its extensive use. It becomes the goal of the whole engineering community to introduce new effective methods for the civil structural FE model update. To this end, an innovative FE model updating method using data from construction monitoring is proposed in this article. With regard to its theoretical novelty, the new method transforms the complicated multi-variable optimization mathematical problem with the traditional FE model updating technique into many simple single-variable parameter identification problems. Under the engineering background of Huangsha Harbor Bridge, a three-span concrete continuous box girder bridge constructed utilizing the symmetric cantilever casting method, the effectiveness and the efficiency of the new model updating practice were validated. It is demonstrated using quantitative data that the abundant data measured on Huangsha Harbor Bridge in construction stages can enhance the reference information for the more accurate FE model updating of the structure, and the uncertain parameters with the initial FE model of Huangsha Harbor Bridge can be progressively and easily identified for the proposed model updating method using many single-variable linear regression models, instead of one complicated multi-variable mathematical or numerical model employed by the traditional model updating approaches, which generally leads to non-unique solutions rendered by normal optimization algorithms.https://www.mdpi.com/2076-3417/13/6/3422finite element model updatingcontinuous concrete girder bridgeconstruction monitoringcantilever castingstress measurementuneven temperature |
spellingShingle | Xiao-Xiang Cheng Model Updating for a Continuous Concrete Girder Bridge Using Data from Construction Monitoring Applied Sciences finite element model updating continuous concrete girder bridge construction monitoring cantilever casting stress measurement uneven temperature |
title | Model Updating for a Continuous Concrete Girder Bridge Using Data from Construction Monitoring |
title_full | Model Updating for a Continuous Concrete Girder Bridge Using Data from Construction Monitoring |
title_fullStr | Model Updating for a Continuous Concrete Girder Bridge Using Data from Construction Monitoring |
title_full_unstemmed | Model Updating for a Continuous Concrete Girder Bridge Using Data from Construction Monitoring |
title_short | Model Updating for a Continuous Concrete Girder Bridge Using Data from Construction Monitoring |
title_sort | model updating for a continuous concrete girder bridge using data from construction monitoring |
topic | finite element model updating continuous concrete girder bridge construction monitoring cantilever casting stress measurement uneven temperature |
url | https://www.mdpi.com/2076-3417/13/6/3422 |
work_keys_str_mv | AT xiaoxiangcheng modelupdatingforacontinuousconcretegirderbridgeusingdatafromconstructionmonitoring |