A Stochastic-Based Method for Finite Element Model Validation

Author:

Bi Si Feng1,Deng Zhong Min2

Affiliation:

1. Beihang University

2. School of Astronautics, Beihang University, Beijing, China 100191

Abstract

A stochastic method integrating Monte Carlo simulation (MCS) and multivariate regression analysis is presented. The main purpose of this method is to validate a finite element model taking account of variability in test systems and modeling uncertainties. An improved MCS and an iterative procedure during correlation analysis are explained. Simulation results show that the proposed method provides a satisfactory validation outcome with acceptable calculation cost, and different correlation indices generate diverse variation curves of variables. MSC.Nastran is employed with a purpose to show the methodology’s commonality.

Publisher

Trans Tech Publications, Ltd.

Reference7 articles.

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3. Alvin K F, Oberkampf W L. Uncertainty Quantification in Computational Structural Dynamics: a New Paradigm for Model Validation In: Proceedings of the 16th International Modal Analysis Conference. Santa Barbara, CA, USA. 1998. 1191-1198.

4. Goller B. A stochastic model updating technique for complex aerospace structures. Finite Elements in Analysis and Design. 47 (7): 739-752 JUL (2011).

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