Published June 1, 2010 | Version v1
Journal article

Stochastic multiscale stress analysis via identification of microscopic randomness

  • 1. Department of Science and Technology, Shimane University, Shimane, Matsue-city, Nishikawatsu-cho 1060 (Japan)

Description

This paper proposes a concept of a stochastic stress analysis procedure via identification of a microscopic random variation. Some results on a stochastic homogenization problem of composites have been reported, and those illustrate that a microscopic random variation in material property or geometry will have an influence on a homogenized property of composites. Similarly, the microscopic randomness causes a random variation of macroscopic and microscopic stress field. If the microscopic random variation is unknown, a method for estimating the microscopic random variation from a characteristic of a macroscopic random variation will be also needed. In this paper, a stochastic multiscale stress analysis with both approaches is introduced, and necessity of an inverse stochastic homogenization analysis and validity of the proposed approach are discussed.

Availability note (English)

Available from http://dx.doi.org/10.1088/1757-899X/10/1/012203

Additional details

Publishing Information

Journal Title
IOP Conference Series. Materials Science and Engineering (Online)
Journal Volume
10
Journal Issue
1
Journal Page Range
[8 p.]
ISSN
1757-899X

Conference

Title
9. world congress on computational mechanics; 4. Asian Pacific congress on computational mechanics
Dates
19-23 Jul 2010
Place
Sydney (Australia)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
44023551
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; S97: MATHEMATICAL METHODS AND COMPUTING;
Resource subtype / Literary indicator
Conference
Descriptors DEI
GEOMETRY; RANDOMNESS; STOCHASTIC PROCESSES; STRESS ANALYSIS; STRESSES; VARIATIONS
Descriptors DEC
MATHEMATICS