A Stochastic Model Updating Method With Unknown Parameter Distribution

DOI

10.2991/jimec-17.2017.61How to use a DOI?

Keywords

A STOCHASTIC MODEL UPDATING METHOD WITH UNKNOWN PARAMETER DISTRIBUTION

Abstract

For stochastic model updating (SMU) problem with unknown parameter probability density function (PDF), an approach is proposed to estimate the statistical properties of the structural parameters. The random variable is represented with polynomial chaos expansion (PCE) and therefore the SMU problem is converted to the evaluation of the PCE coefficients. The Bayesian method is applied to estimate the PCE representation, while the likelihood function in Bayesian calculation is constructed using kernel density estimation (KDE). In order to save computation time, Kriging approach is utilized to establish the surrogate model between structural input and output. A numerical example is given to verify the proposed method.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ma Tianzheng
AU  - Lyu Hao
AU  - Zhang Yimin
PY  - 2017/10
DA  - 2017/10
TI  - A Stochastic Model Updating Method With Unknown Parameter Distribution
BT  - Proceedings of the 2017 2nd Joint International Information Technology, Mechanical and Electronic Engineering Conference (JIMEC 2017)
PB  - Atlantis Press
SP  - 279
EP  - 282
SN  - 2352-538X
UR  - https://doi.org/10.2991/jimec-17.2017.61
DO  - 10.2991/jimec-17.2017.61
ID  - Tianzheng2017/10
ER  -