Abstract
This paper presents a novel approach for output-only nonlinear system identification of structures using data recorded during earthquake events. In this approach, state-of-the-art nonlinear structural FE modeling and analysis techniques are combined with Bayesian Inference method to estimate (i) time-invariant parameters governing the nonlinear hysteretic material constitutive models used in the FE model of the structure, and (ii) the time history of the earthquake ground motion. To validate the performance of the proposed framework, the simulated responses of a bridge pier to an earthquake ground motion is polluted with artificial output measurement noise and used to jointly estimate the unknown material parameters and the time history of the earthquake ground motion. This proof-of-concept example illustrates the succeßful performance of the proposed approach even in the presence of high measurement noise.
Original language | English |
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Title of host publication | Health Monitoring of Structural and Biological Systems 2015 |
Editors | Tribikram Kundu |
Publisher | SPIE |
ISBN (Electronic) | 9781628415414 |
DOIs | |
State | Published - 2015 |
Externally published | Yes |
Event | Health Monitoring of Structural and Biological Systems 2015 - San Diego, United States Duration: 9 Mar 2015 → 12 Mar 2015 |
Publication series
Name | Proceedings of SPIE - The International Society for Optical Engineering |
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Volume | 9438 |
ISSN (Print) | 0277-786X |
ISSN (Electronic) | 1996-756X |
Conference
Conference | Health Monitoring of Structural and Biological Systems 2015 |
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Country/Territory | United States |
City | San Diego |
Period | 9/03/15 → 12/03/15 |
Bibliographical note
Publisher Copyright:© 2015 SPIE.
Keywords
- Bayesian inference
- Blind identification
- Civil structure
- Damage identification
- Finite element model updating
- Health monitoring
- Nonlinear finite element model
- Nonlinear system
- Nonlinear system identification
- Output only estimation