Articles with "global reliability" as a keyword



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An efficient method for estimating time-dependent global reliability sensitivity

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Published in 2020 at "Structural and Multidisciplinary Optimization"

DOI: 10.1007/s00158-020-02541-3

Abstract: Time-dependent global reliability sensitivity can quantify the effect of input variables in their whole distribution ranges on the time-dependent failure probability. To efficiently estimate it to help researchers control the time-dependent failure probability, a novel… read more here.

Keywords: global reliability; time; method; reliability sensitivity ... See more keywords
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Global reliability sensitivity analysis based on state dependent parameter method and efficient sampling techniques

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Published in 2020 at "Aerospace Science and Technology"

DOI: 10.1016/j.ast.2020.105740

Abstract: Abstract In order to efficiently assess the influence of input variables on the failure of the structural systems, an improved global reliability sensitivity analysis (SA) method is proposed in this paper. The new method is… read more here.

Keywords: global reliability; method efficient; analysis; method ... See more keywords
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An efficient global reliability sensitivity analysis algorithm based on classification of model output and subset simulation

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Published in 2018 at "Structural Safety"

DOI: 10.1016/j.strusafe.2018.04.003

Abstract: Abstract The global reliability sensitivity analysis measures the effect of each model input variable on the failure probability, which is very useful for reliability-based optimization design. The aim of this paper is to propose an… read more here.

Keywords: failure; global reliability; model; reliability sensitivity ... See more keywords
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Two Efficient AK-Based Global Reliability Sensitivity Methods by Elaborative Combination of Bayes’ Theorem and the Law of Total Expectation in the Successive Intervals Without Overlapping

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Published in 2020 at "IEEE Transactions on Reliability"

DOI: 10.1109/tr.2019.2895866

Abstract: The global reliability sensitivity index (GRSI) can measure the effect of model input variable on the failure probability of the structure and provide guidance for the reliability-based design optimization. In this paper, to efficiently estimate… read more here.

Keywords: global reliability; bayes theorem; reliability sensitivity; elaborative combination ... See more keywords
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Global Reliability Sensitivity Analysis Based on Maximum Entropy and 2-Layer Polynomial Chaos Expansion

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Published in 2018 at "Entropy"

DOI: 10.3390/e20030202

Abstract: To optimize contributions of uncertain input variables on the statistical parameter of given model, e.g., reliability, global reliability sensitivity analysis (GRSA) provides an appropriate tool to quantify the effects. However, it may be difficult to… read more here.

Keywords: global reliability; reliability sensitivity; sensitivity; sensitivity indices ... See more keywords