Journal ArticleDOI
An efficient extreme value moment method combining adaptive Kriging model for time-variant imprecise reliability analysis
TLDR
In this paper , the authors proposed a new extreme value moment method (EVMM) combining adaptive Kriging model and weighted approach based on sparse grid numerical integration (WA-SGNI) to estimate the statistical moments of the approximated EVF responses.About:
This article is published in Mechanical Systems and Signal Processing.The article was published on 2022-05-01. It has received 9 citations till now. The article focuses on the topics: Kriging & Moment (physics).read more
Citations
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Journal ArticleDOI
Small failure probability: principles, progress and perspectives
Journal ArticleDOI
Dynamic reliability analysis of main shaft bearings in wind turbines
TL;DR: In this article , a quasi-static TRB model is established based on the meta-heuristic optimization algorithm, and the influence of preload, bearing clearance, and friction on the fatigue life of the TRB is investigated in detail.
Journal ArticleDOI
A novel decoupled time-variant reliability-based design optimization approach by improved extreme value moment method
TL;DR: In this paper , a decoupled time-variant reliability-based design optimization (t-RBDO) method is proposed to guarantee a high reliability of the product during the full life cycle.
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A time-variant reliability analysis framework for selective laser melting fabricated lattice structures with probability and convex hybrid models
TL;DR: In this paper , a time-variant reliability analysis framework was proposed to quantitatively predict the lifetime of lattice structures fabricated by selective laser melting (SLM), including confirming hybrid uncertainties, establishing a hybrid model, and proposing an efficient time-varying reliability method.
References
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Journal ArticleDOI
Aleatory or epistemic? Does it matter?
TL;DR: In this article, the sources and characters of uncertainties in engineering modeling for risk and reliability analyses are discussed, and they are generally categorized as either aleatory or epistemic, if the modeler sees a possibility to reduce them by gathering more data or by refining models.
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Imprecise probabilities in engineering analyses
TL;DR: Evidence theory, probability bounds analysis with p-boxes, and fuzzy probabilities are discussed with emphasis on their key features and on their relationships to one another.
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Convergence study of the truncated Karhunen-Loeve expansion for simulation of stochastic processes
TL;DR: In this article, the convergence and accuracy of the K-L expansion are investigated by comparing the second-order statistics of the simulated random process with that of the target process, and it is shown that the factors affecting convergence are: (a) ratio of the length of the process over correlation parameter, (b) form of the covariance function, and (c) method of solving for the eigen-solutions of the function.
Journal ArticleDOI
The extreme value distribution and dynamic reliability analysis of nonlinear structures with uncertain parameters
Jianbing Chen,Jie Li +1 more
TL;DR: In this article, a new approach for evaluation of the extreme value distribution and dynamic reliability assessment of nonlinear structures with uncertain parameters is proposed based on the thoughts of the newly developed probability density evolution method, which is capable of capturing the instantaneous probability density function (PDF) and its evolution of the responses of the nonlinear stochastic structures.
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Structural reliability analysis on the basis of small samples: An interval quasi-Monte Carlo method
TL;DR: In this article, the authors proposed an interval quasi-Monte Carlo simulation methodology to efficiently compute the bounds of structure failure probability, which is based on deterministic lowdiscrepancy sequences, which are distributed more regularly than the (pseudo) random points in direct Monte Carlo simulation.