Towards error bounds of the failure probability of elastic structures using reduced basis models
Sign Up to like & getrecommendations! Published in 2017 at "International Journal for Numerical Methods in Engineering"
DOI: 10.1002/nme.5554
Abstract: Structural reliability methods aim at computing the probability of failure of systems with respect to prescribed limit state functions. A common practice to evaluate these limit state functions is using Monte Carlo simulations. The main… read more here.
Keywords: bounds failure; failure probability; reduced basis; probability ... See more keywords
An efficient reliability analysis method combining adaptive Kriging and modified importance sampling for small failure probability
Sign Up to like & getrecommendations! Published in 2018 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-018-1975-6
Abstract: A vital challenge problem of structural reliability analysis is how to estimate the small failure probability with a minimum number of model evaluations. The Adaptive Kriging combined with Importance Sampling method (AK-IS) which is developed… read more here.
Keywords: small failure; failure probability; method; model ... See more keywords
Support vector machine-based importance sampling for rare event estimation
Sign Up to like & getrecommendations! Published in 2021 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-020-02809-8
Abstract: Structural reliability analysis aims at computing failure probability with respect to prescribed performance function. To efficiently estimate the structural failure probability, a novel two-stage meta-model importance sampling based on the support vector machine (SVM) is… read more here.
Keywords: model; importance; importance sampling; failure probability ... See more keywords
An application of active learning Kriging for the failure probability and sensitivity functions of turbine disk with imprecise probability distributions
Sign Up to like & getrecommendations! Published in 2021 at "Engineering With Computers"
DOI: 10.1007/s00366-021-01366-y
Abstract: For the reliability analysis with imprecise probability distributions, the failure probability and its sensitivity are always denoted as the functions of distribution parameters. The computation of those functional relationships remains a challenging task due to… read more here.
Keywords: probability distributions; imprecise probability; sensitivity; probability ... See more keywords
Global sensitivity analysis of failure probability of structures with uncertainties of random variable and their distribution parameters
Sign Up to like & getrecommendations! Published in 2021 at "Engineering with Computers"
DOI: 10.1007/s00366-021-01484-7
Abstract: The failure probability-based global sensitivity is proposed to evaluate the influence of input variables on the failure probability. But for the problem that the distribution parameters of variables are uncertain due to the lack of… read more here.
Keywords: failure probability; global sensitivity; uncertainty;
Augmented line sampling for approximation of failure probability function in reliability-based analysis
Sign Up to like & getrecommendations! Published in 2020 at "Applied Mathematical Modelling"
DOI: 10.1016/j.apm.2019.11.009
Abstract: Abstract An efficient approach, called augmented line sampling, is proposed to locally evaluate the failure probability function (FPF) in structural reliability-based design by using only one reliability analysis run of line sampling. The novelty of… read more here.
Keywords: line; failure probability; analysis; line sampling ... See more keywords
A new efficient simulation method based on Bayes' theorem and importance sampling Markov chain simulation to estimate the failure-probability-based global sensitivity measure
Sign Up to like & getrecommendations! Published in 2018 at "Aerospace Science and Technology"
DOI: 10.1016/j.ast.2018.05.050
Abstract: Abstract The failure-probability-based global sensitivity measure can detect the effect of input variables on the structural failure probability, which can provide useful information in reliability-based design. In this paper, a new efficient simulation method is… read more here.
Keywords: failure probability; probability based; method; simulation ... See more keywords
Efficient estimation of the failure probability of a monopile foundation using a Kriging-based approach with multi-point enrichment
Sign Up to like & getrecommendations! Published in 2020 at "Computers and Geotechnics"
DOI: 10.1016/j.compgeo.2020.103451
Abstract: Abstract In this paper, a probabilistic analysis of an offshore monopile foundation embedded in a spatially varying clayey soil was performed. An efficient Kriging-based probabilistic approach using a multipoint enrichment was adopted for the analysis.… read more here.
Keywords: failure probability; monopile foundation; kriging based; approach ... See more keywords
Study of the fatigue behavior of composites using modular ANN with the incorporation of a posteriori failure probability
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Fatigue"
DOI: 10.1016/j.ijfatigue.2019.105357
Abstract: Abstract To study the fatigue behavior of composites, a large number of experimental assays for both deterministic and probabilistic analysis are needed. Recent studies have demonstrated mathematical and methodological models that are applied to determine… read more here.
Keywords: failure probability; study; behavior; fatigue behavior ... See more keywords
Improving pooling method for regularization of convolutional networks based on the failure probability density
Sign Up to like & getrecommendations! Published in 2017 at "Optik"
DOI: 10.1016/j.ijleo.2017.07.045
Abstract: Abstract This research proposes an improved pooling method for regularized convolutional neural network (CNN). This pooling method intends to assign failure probability density (FPD) values to pixel points in image feature domains after projection of… read more here.
Keywords: pooling method; based failure; image; failure probability ... See more keywords
Corrosion failure probability analysis of buried gas pipelines based on subset simulation
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Loss Prevention in the Process Industries"
DOI: 10.1016/j.jlp.2018.11.008
Abstract: Abstract Corrosion is the main reason for the failure of buried gas pipelines. For effective corrosion failure probability analysis, the structural reliability theory was adopted in this study to establish two calculation models for pipeline… read more here.
Keywords: gas; failure; corrosion failure; corrosion ... See more keywords