A stochastic-based method for finite element model validation

Sifeng Bi; Zhongmin Deng

doi:10.4028/www.scientific.net/AMM.141.162

A stochastic-based method for finite element model validation

Sifeng Bi^*
, Zhongmin Deng

^*Corresponding author for this work

School of Astronautics

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

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.

Original language	English
Title of host publication	Functional Manufacturing and Mechanical Dynamics II
Pages	162-167
Number of pages	6
Edition	1
DOIs	https://doi.org/10.4028/www.scientific.net/AMM.141.162
State	Published - 2012
Event	2nd International Conference on Functional Manufacturing and Mechanical Dynamics - Hangzhou, Zhejiang, China Duration: 22 Jan 2012 → 25 Jan 2012

Publication series

Name	Applied Mechanics and Materials
Number	1
Volume	141
ISSN (Print)	1660-9336
ISSN (Electronic)	1662-7482

Conference

Conference	2nd International Conference on Functional Manufacturing and Mechanical Dynamics
Country/Territory	China
City	Hangzhou, Zhejiang
Period	22/01/12 → 25/01/12

Keywords

Model validation
Monte Carlo simulation
Regression analysis
Uncertainty

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10.4028/www.scientific.net/AMM.141.162

Cite this

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title = "A stochastic-based method for finite element model validation",

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.",

keywords = "Model validation, Monte Carlo simulation, Regression analysis, Uncertainty",

author = "Sifeng Bi and Zhongmin Deng",

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language = "英语",

isbn = "9783037852989",

series = "Applied Mechanics and Materials",

number = "1",

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Bi, S & Deng, Z 2012, A stochastic-based method for finite element model validation. in Functional Manufacturing and Mechanical Dynamics II. 1 edn, Applied Mechanics and Materials, no. 1, vol. 141, pp. 162-167, 2nd International Conference on Functional Manufacturing and Mechanical Dynamics, Hangzhou, Zhejiang, China, 22/01/12. https://doi.org/10.4028/www.scientific.net/AMM.141.162

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AU - Bi, Sifeng

AU - Deng, Zhongmin

PY - 2012

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N2 - 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.

AB - 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.

KW - Model validation

KW - Monte Carlo simulation

KW - Regression analysis

KW - Uncertainty

UR - https://www.scopus.com/pages/publications/82555189877

U2 - 10.4028/www.scientific.net/AMM.141.162

DO - 10.4028/www.scientific.net/AMM.141.162

M3 - 会议稿件

AN - SCOPUS:82555189877

SN - 9783037852989

T3 - Applied Mechanics and Materials

SP - 162

EP - 167

BT - Functional Manufacturing and Mechanical Dynamics II

T2 - 2nd International Conference on Functional Manufacturing and Mechanical Dynamics

Y2 - 22 January 2012 through 25 January 2012

ER -

A stochastic-based method for finite element model validation

Abstract

Publication series

Conference

Keywords

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