Resumen
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.
Idioma original | Inglés |
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Título de la publicación alojada | Health Monitoring of Structural and Biological Systems 2015 |
Editores | Tribikram Kundu |
Editorial | SPIE |
ISBN (versión digital) | 9781628415414 |
DOI | |
Estado | Publicada - 2015 |
Publicado de forma externa | Sí |
Evento | Health Monitoring of Structural and Biological Systems 2015 - San Diego, Estados Unidos Duración: 9 mar. 2015 → 12 mar. 2015 |
Serie de la publicación
Nombre | Proceedings of SPIE - The International Society for Optical Engineering |
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Volumen | 9438 |
ISSN (versión impresa) | 0277-786X |
ISSN (versión digital) | 1996-756X |
Conferencia
Conferencia | Health Monitoring of Structural and Biological Systems 2015 |
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País/Territorio | Estados Unidos |
Ciudad | San Diego |
Período | 9/03/15 → 12/03/15 |
Nota bibliográfica
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