Application of Stochastic Sensitivity Analysis to Integrated Force Method

Joint Authors

Wei, X. F.
Patnaik, S. N.

Source

International Journal of Stochastic Analysis

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-14, 14 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-06-07

Country of Publication

Egypt

No. of Pages

14

Main Subjects

Mathematics

Abstract EN

As a new formulation in structural analysis, Integrated Force Method has been successfully applied to many structures for civil, mechanical, and aerospace engineering due to the accurate estimate of forces in computation.

Right now, it is being further extended to the probabilistic domain.

For the assessment of uncertainty effect in system optimization and identification, the probabilistic sensitivity analysis of IFM was further investigated in this study.

A set of stochastic sensitivity analysis formulation of Integrated Force Method was developed using the perturbation method.

Numerical examples are presented to illustrate its application.

Its efficiency and accuracy were also substantiated with direct Monte Carlo simulations and the reliability-based sensitivity method.

The numerical algorithm was shown to be readily adaptable to the existing program since the models of stochastic finite element and stochastic design sensitivity are almost identical.

American Psychological Association (APA)

Wei, X. F.& Patnaik, S. N.. 2012. Application of Stochastic Sensitivity Analysis to Integrated Force Method. International Journal of Stochastic Analysis،Vol. 2012, no. 2012, pp.1-14.
https://search.emarefa.net/detail/BIM-457278

Modern Language Association (MLA)

Wei, X. F.& Patnaik, S. N.. Application of Stochastic Sensitivity Analysis to Integrated Force Method. International Journal of Stochastic Analysis No. 2012 (2012), pp.1-14.
https://search.emarefa.net/detail/BIM-457278

American Medical Association (AMA)

Wei, X. F.& Patnaik, S. N.. Application of Stochastic Sensitivity Analysis to Integrated Force Method. International Journal of Stochastic Analysis. 2012. Vol. 2012, no. 2012, pp.1-14.
https://search.emarefa.net/detail/BIM-457278

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-457278