Reliability-based design optimisation of structural systems using high-order analytical moments

Rajan, Arvind; Luo, Fu Jia; Kuang, Ye Chow; Bai, Yu; Ooi, Melanie Po-Leen

doi:10.1016/j.strusafe.2020.101970

Cited by 11 publications

(3 citation statements)

References 74 publications

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“…B. 22 shows the original pool of points (empty gray circles) and the retained points after the removal procedure (colored solid circles) for eight "onion layers".…”

Section: Appendix a Sampling A Unit Random Direction In N Var Dimensionsmentioning

confidence: 99%

“…As pointed out by Rackwitz [1], in practical engineering the reliability analysis of an engineering product (be it a structure, a mechanical system, or a process) is itself perhaps less interesting than the optimization [20] of those products or processes with reliability constraints. However, reliability optimization methods encompass reliability analysis and call it repeatedly [21,22].…”

Section: Introductionmentioning

confidence: 99%

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Reliability analysis of discrete-state performance functions via adaptive sequential sampling with detection of failure surfaces

Vořechovský¹

2022

Preprint

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Reliability analysis of discrete-state performance functions via adaptive sequential sampling with detection of failure surfaces Miroslav Vořechovský• accurate estimation of failure probability with error prediction, resistance to multiple design points, and strong nonlinearities • the method needs at least a categorical limit state function (including no response output) for continuously distributed inputs • adaptive sequential extension of experimental design using the ψ criterion, minimizing the number of limit state evaluations • the novel criterion automatically balances between exploration and exploitation in the input space • efficient importance sampling in important rings, excluding the safe ball and unimportant exterior • global sensitivity indices quantifying the importance of individual variables to rare event probability • adaptive expansion and refinement near the failure surface avoiding clusters of points (no redundant information)

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“…B. 22 shows the original pool of points (empty gray circles) and the retained points after the removal procedure (colored solid circles) for eight "onion layers".…”

Section: Appendix a Sampling A Unit Random Direction In N Var Dimensionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Reliability analysis of discrete-state performance functions via adaptive sequential sampling with detection of failure surfaces

Vořechovský¹

2022

Preprint

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“…By exploring the possibilities of reliability-driven optimization design [1][2][3][4][5], we can acknowledge the immense potential of combining various existing design approaches to achieve the best reliability requirements for mechanical structures.…”

Section: Introductionmentioning

confidence: 99%

Optimization of reliability and sensitivity analysis for flange structures

Gong,

Feng

2024

J. Phys.: Conf. Ser.

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The study delves into the reliability-driven optimization design of the flanges, drawing from reliability design theory, advanced optimization methodologies, and comprehensive sensitivity analysis. Flanges, integral to mechanical systems, demand precise design. Reliability design theory emphasizes consistent operation under diverse conditions. A novel approach to the flange-specific reliability sensitivity analysis method is central to this research. It promises to revolutionize flange design. By understanding the first two moments of core random parameters, we expedite reliability-driven optimization designs for mechanical connections. The programs enhance our approach, streamlining the pursuit of reliability-driven designs and providing rapid, accurate sensitivity analysis data for mechanical connections. This data offers critical insights into parameter influence, enabling targeted design adjustments. In summary, this research represents a significant advancement in mechanical engineering. By integrating reliability design theory with cutting-edge methodologies, it promises to enhance the quality and reliability of mechanical connections, meeting the rigorous demands of contemporary engineering applications. This holistic approach will play a pivotal role in the future of mechanical component design.

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