arrow
Return

Variability response functions for effective material properties

delete2011-04-01
delete22
PRE
AI
S
Sanjay R. Arwade *
G
George Deodatis
DOI:10.1016/j.probengmech.2010.11.005delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
The variability response function (VRF) is a well-established concept for efficient evaluation of the variance and sensitivity of the response of stochastic systems where properties are modeled by random fields that circumvents the need for computationally expensive Monte Carlo (MC) simulations. Homogenization of material properties is an important procedure in the analysis of structural mechanics problems in which the material properties fluctuate randomly, yet no method other than MC simulation exists for evaluating the variability of the effective material properties. The concept of a VRF for effective material properties is introduced in this paper based on the equivalence of elastic strain energy in the heterogeneous and equivalent homogeneous bodies. It is shown that such a VRF exists for the effective material properties of statically determinate structures. The VRF for effective material properties can be calculated exactly or by Fast MC simulation and depends on extending the classical displacement VRF to consider the covariance of the response displacement at two points in a statically determinate beam with randomly fluctuating material properties modeled using random fields. Two numerical examples are presented that demonstrate the character of the VRF for effective material properties, the method of calculation, and results that can be obtained from it. (C) 2010 Elsevier Ltd. All rights reserved.
Keywords:
Homogenization
Material properties
Uncertainty quantification
Random fields
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Probabilistic Engineering Mechanics cover
Probabilistic Engineering Mechanics
IF:
3.5
Papers:
1.7K
Citations:
4.1K

Organization

U
university of massachusetts system
Scholars:
3.9W
Papers: 3.6W
Citations: 42
U
University of Massachusetts Amherst
Scholars:
1.1W
Papers: 8.9K
Citations: 19
Cited Papers

Cited Papers

Galois Theory
err
IF0
err2009-01-01
err0
PREAI
errSteven H. Weintraub
errShare
errSave
An introduction to biometrics
err2008-12-01
err0
PREAI
errAnil K. Jain; Arun Ross; Karthik Nandakumar
errShare
errSave
no more