Journal Article10.1016/J.ADVENGSOFT.2007.03.015
Structural reliability analysis using Monte Carlo simulation and neural networks
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TL;DR: This paper examines a methodology for computing the probability of structural failure by combining neural networks (NN) and Monte Carlo simulation (MCS), making use of the capability of a NN to approximate a function for reproducing structural behavior, allowing the computation of performance measures at a much lower cost.
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About: This article is published in Advances in Engineering Software. The article was published on 01 Jun 2008. The article focuses on the topics: Monte Carlo method & Reliability (statistics).
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Citations
System reliability evaluation of steel frames with semi-rigid connections
TL;DR: In this paper, the reliability of steel frames with semi-rigid connections was evaluated using Monte Carlo simulation and the sensitivity of reliability to the model error was also studied, and the results indicated that the frame reliability is strongly affected by semirigid connection.
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Comparative study between S-N and fracture mechanics approach on reliability assessment of offshore wind turbine jacket foundations
TL;DR: The results from the case study revealed that fracture reliability is highly sensitive to the initial crack size, and it is recommended to apply the S-N curve method at the design stage while the FM approach applied towards the end of the design life as the structure approaches failure.
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Adaptive reliability analysis based on a support vector machine and its application to rock engineering
TL;DR: In this paper, the authors proposed a new approach that samples experimental points based on the difference between the last two trial design points, which can reduce the number of experimental points and improve the accuracy of reliability analysis.
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Performance of global metamodeling techniques in solution of structural reliability problems
TL;DR: Comparisons of three global surrogate modeling techniques in the solution of structural reliability problems show that the three techniques explored herein are reliable tools for approximating the response of complex mechanical models.
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Structural reliability analysis based on probabilistic response modelling using the Maximum Entropy Method
TL;DR: In this paper, an approach combining the Maximum Entropy Fitting Method (MEM) for probabilistic modeling of the response and the First Order Reliability Method (FORM) for reliability evaluation is proposed.
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