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An Effective Approach for Reliability-Based Sensitivity Analysis with the Principle of Maximum Entropy and Fractional Moments [PDF]
Entropy, 2019 The reliability-based sensitivity analysis requires to recursively evaluate a multivariate structural model for many failure probability levels. This is in general a computationally intensive task due to irregular integrations used to define the ...
Xufang Zhang +3 more
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Reliability based robust design optimization based on sensitivity and elasticity factors analysis [PDF]
Journal of Materials and Engineering Structures, 2020 In this paper, a Reliability Based Robust Design Optimization (RBRDO) based on sensitivity and elasticity factors analysis is presented. In the first step, a reliability assessment is performed using the First-and Second Order Reliability Method (FORM)/ (
Naoual KARAR +2 more
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Reliability-Based Design Optimization of Structures Using Complex-Step Approximation with Sensitivity Analysis [PDF]
Applied Sciences, 2021 Structural optimization aims to achieve a structural design that provides the best performance while satisfying the given design constraints. When uncertainties in design and conditions are taken into account, reliability-based design optimization (RBDO)
Junho Chun
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A Review on Local Failure Probability Sensitivity Analysis
Applied Sciences, 2023 When assessing the reliability of a system, a mathematical model is often defined to replicate the system’s behavior. The inputs of the system are then gathered into two categories, random inputs and deterministic inputs.
Marie Chiron +2 more
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Local Sensitivity of Failure Probability through Polynomial Regression and Importance Sampling
Mathematics, 2023 Evaluating the failure probability of a system is essential in order to assess its reliability. This probability may significantly depend on deterministic parameters such as distribution parameters or design parameters.
Marie Chiron +2 more
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Local reliability based sensitivity analysis with the moving particles method [PDF]
Reliability Engineering & System Safety, 2021 Local reliability sensitivity methods aim at determining the partial derivatives of the failure probability or the reliability index with respect to model parameters. For efficient local reliability based sensitivity analysis, it is important to avoid repeated evaluations of the performance function.
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New Importance Measures Based on Failure Probability in Global Sensitivity Analysis of Reliability
Mathematics, 2021 This article presents new sensitivity measures in reliability-oriented global sensitivity analysis. The obtained results show that the contrast and the newly proposed sensitivity measures (entropy and two others) effectively describe the influence of ...
Zdeněk Kala
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IEEE Open Access Journal of Power and Energy, 2021 With the proliferation of renewable energy and power electronic converters in power systems, the reliability issue has raised more research attention than ever before.
Bowen Zhang Zhang +2 more
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Applied Sciences, 2021 This paper proposes a reliability-based design optimization (RBDO) approach that adopts the second-order reliability method (SORM) and complex-step (CS) derivative approximation.
Junho Chun
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A New Method for Reliability‐Based Sensitivity Analysis of Dynamic Random Systems [PDF]
Mathematical Problems in Engineering, 2019 A novel numerical method for investigating time‐dependent reliability and sensitivity issues of dynamic systems is proposed, which involves random structure parameters and is subjected to stochastic process excitation simultaneously. The Karhunen–Loève (K‐L) random process expansion method is used to express the excitation process in the form of a ...
Qianqian Wang, Changchun Wang, Hui Wang
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