Finite Element Model Updating of a Steel Pedestrian Bridge Model
ABSTRACTFinite element (FE) modeling is widely used to simulate the behavior of actual structures under various loading conditions. However, the simulation results from an FE model are usually different from an as-built structure. To improve the accuracy of the FE model, selected structural parameters are to be updated, which is known as FE model updating. This paper discusses the updating of an FE model based on a steel pedestrian bridge on Georgia Tech campus. By setting structural parameters as optimization variables, FE model updating is formulated as optimization problems to minimize the difference between experimental and simulated frequency-domain modal properties. Two modal property difference formulations are presented, one using modal assurance criterion (MAC) values and the other using direct difference between mode shapes. For each updating formulation, derivative Jacobian of the objective function is derived in detail. The MATLAB code and data are available on GitHub.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784482445
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Supplemental Notes:
- © 2019 American Society of Civil Engineers 2019
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Dong, Xinjun
- Wang, Yang
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Conference:
- ASCE International Conference on Computing in Civil Engineering 2019
- Location: Atlanta Georgia, United States
- Date: 2019-6-17 to 2019-6-19
- Publication Date: 2019
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 397-404
- Monograph Title: Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience
Subject/Index Terms
- TRT Terms: Case studies; Finite element method; Footbridges; Modal analysis; Modernization; Simulation; Steel bridges
- Identifier Terms: Georgia Institute of Technology
- Subject Areas: Bridges and other structures; Design; Pedestrians and Bicyclists;
Filing Info
- Accession Number: 01708309
- Record Type: Publication
- ISBN: 9780784482445
- Files: TRIS, ASCE
- Created Date: Jun 25 2019 9:16AM