Effect of Element Size in Random Finite Element Analysis for Effective Young’s Modulus

Joint Authors

Ching, Jianye
Hu, Yu-Gang

Source

Mathematical Problems in Engineering

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-08-03

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Civil Engineering

Abstract EN

In random finite element analysis (RFEA), continuous random fields must be discretized.

The critical element size to achieve acceptable accuracy in effective Young’s modulus for an elementary soil mass is investigated.

It is observed that the discrepancy between the continuous and discretized solutions is governed by the discretization strategy (element-level averaging versus midpoint), spatial variability pattern, and the adopted autocorrelation function.

With the element-level averaging strategy, RFEA with element size less than (scale of fluctuation)/5 will not induce significant discrepancy from the continuous solution.

Moreover, the element-level averaging strategy is more effective than the midpoint strategy.

American Psychological Association (APA)

Ching, Jianye& Hu, Yu-Gang. 2016. Effect of Element Size in Random Finite Element Analysis for Effective Young’s Modulus. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1112760

Modern Language Association (MLA)

Ching, Jianye& Hu, Yu-Gang. Effect of Element Size in Random Finite Element Analysis for Effective Young’s Modulus. Mathematical Problems in Engineering No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1112760

American Medical Association (AMA)

Ching, Jianye& Hu, Yu-Gang. Effect of Element Size in Random Finite Element Analysis for Effective Young’s Modulus. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1112760

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1112760