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Probabilistic function evaluation system (ProFES) for reliability-based design

Wu, Y.-T. / Shin, Youngwon / Sues, Robert H. / Cesare, Mark A.

AbstractProFES is a probabilistic analysis and design software that allows users to perform a wide range of probabilistic function evaluations including finite element analysis in a graphical environment. This paper summarizes the ProFES Version 2.0 capabilities with a focus on recent ProFES enhancements in three major areas related to probabilistic design: design optimization, damage tolerance, and possibilistic-probabilistic analysis. Several efficient computational probabilistic methods developed for the recent enhancements are highlighted and demonstrated using structural application problems.

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Probabilistic function evaluation system (ProFES) for reliability-based design

Wu, Y.-T. / Shin, Youngwon / Sues, Robert H. / Cesare, Mark A.

AbstractProFES is a probabilistic analysis and design software that allows users to perform a wide range of probabilistic function evaluations including finite element analysis in a graphical environment. This paper summarizes the ProFES Version 2.0 capabilities with a focus on recent ProFES enhancements in three major areas related to probabilistic design: design optimization, damage tolerance, and possibilistic-probabilistic analysis. Several efficient computational probabilistic methods developed for the recent enhancements are highlighted and demonstrated using structural application problems.

Probabilistic function evaluation system (ProFES) for reliability-based design

Wu, Y.-T. / Shin, Youngwon / Sues, Robert H. / Cesare, Mark A.

AbstractProFES is a probabilistic analysis and design software that allows users to perform a wide range of probabilistic function evaluations including finite element analysis in a graphical environment. This paper summarizes the ProFES Version 2.0 capabilities with a focus on recent ProFES enhancements in three major areas related to probabilistic design: design optimization, damage tolerance, and possibilistic-probabilistic analysis. Several efficient computational probabilistic methods developed for the recent enhancements are highlighted and demonstrated using structural application problems.

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Title:

Probabilistic function evaluation system (ProFES) for reliability-based design

Contributors:

Wu, Y.-T. (author) / Shin, Youngwon (author) / Sues, Robert H. (author) / Cesare, Mark A. (author)

Published in:

Structural Safety ; 28 ; 164-195

Publication date:

2005-01-01

Size:

32 pages

ISSN:

DOI:

https://doi.org/10.1016/j.strusafe.2005.03.006

Type of media:

Article (Journal)

Type of material:

Electronic Resource

Language:

English

Keywords:

Probabilistic analysis software , Structural reliability , Reliability , Probability , Reliability based optimization , Probabilistic damage tolerance , Possibilistic analysis

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