Resumen
This paper presents a framework for nonlinear finite element (FE) model updating, in which state-of-the-art nonlinear structural FE modeling and analysis techniques are combined with the maximum likelihood estimation method (MLE) to estimate time-invariant parameters governing the nonlinear hysteretic material constitutive models used in the FE model of the structure. The estimation uncertainties are evaluated based on the Cramer-Rao lower bound (CRLB) theorem. A proof-of-concept example, consisting of a cantilever steel column representing a bridge pier, is provided to verify the proposed nonlinear FE model updating framework.
Idioma original | Inglés estadounidense |
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DOI | |
Estado | Publicada - 1 ene. 2015 |
Evento | Proceedings of SPIE - The International Society for Optical Engineering - Duración: 1 ene. 2019 → … |
Conferencia
Conferencia | Proceedings of SPIE - The International Society for Optical Engineering |
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Período | 1/01/19 → … |
Palabras clave
- Bayesian inference
- Cramer-Rao lower bound
- Gradientbased optimization
- model updating
- nonlinear finite element model
- nonlinear system identification
- parameter estimation
- structural damage identification
- structural health monitoring
- uncertainty quantification