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Structural reliability software at the University of California, Berkeley

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TLDR
An overview of three software for structural reliability analysis developed at the University of California, Berkeley are provided, which include CalREL, FERUM, and OpenSees.
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This article is published in Structural Safety.The article was published on 2006-01-01. It has received 147 citations till now. The article focuses on the topics: Reliability (statistics) & Source code.

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The stochastic finite element method: Past, present and future

TL;DR: A state-of-the-art review of past and recent developments in the SFEM area and indicating future directions as well as some open issues to be examined by the computational mechanics community in the future are provided.
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Reliability in composites – a selective review and survey of current development

TL;DR: In this paper, the authors identify the most relevant reliability topics to composite materials and provide a selective review, along with an overview of future directions of research within reliability of composite materials, and their influence on design and optimization.

A Bayesian Network Methodology for Infrastructure Seismic Risk Assessment and Decision Support - eScholarship

TL;DR: In this paper, a Bayesian network is proposed for infrastructure seismic risk assessment and decision support with an emphasis on immediate post-earthquake applications, which is used for identification of critical components within a system, and can be extended by decision and utility nodes.
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Practical Application of the Stochastic Finite Element Method

TL;DR: This review paper introduces the most commonly used techniques: direct Monte Carlo simulation, the perturbation method and the spectral stochastic finite element method and looks at the currently available software for the SFEM.
References
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The finite element method

TL;DR: In this article, the methodes are numeriques and the fonction de forme reference record created on 2005-11-18, modified on 2016-08-08.
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Exact and Invariant Second-Moment Code Format

TL;DR: In this article, a fundamental analysis of the meaning of second-moment reliability in multivariate problems is presented, and the format described is entirely derived from one basic assumption concerning the measurement of reliability.
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Structural reliability under combined random load sequences

TL;DR: In this paper, an algorithm for the calculation of structural reliability under combined loading is formulated, in which loads or any other actions upon structures are modelled as independent random sequences and the relevant limit state criterion is pointwise approximated by a tangent hyperplane.