System reliability analysis using dominant failure modes identified by selective searching technique

Kim, Dong-Seok; Ok, Seung-Yong; Song, Junho; Koh, Hyun‐Moo

doi:10.1016/j.ress.2013.02.007

Cited by 52 publications

(43 citation statements)

References 30 publications

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“…These methods may enable rapid estimation, but they are not flexible in incorporating various types and amount of available information on components or in accounting for statistical dependence among components and failure modes (Kim et al, 2013). According to (Kim et al, 2013), another challenge in such a system reliability analysis is that there often exist innumerable failure modes, i.e. possible combinations or sequences of components failures, because real structures are highly redundant and the failure of a member redefines the limit states of the remaining members (e.g.…”

Section: Selective Searching Technique For Dominant Fail-ure Modesmentioning

confidence: 99%

“…stress re-distribution caused by a member failure). Therefore, it is infeasible in most cases to enumerate all the possible failure modes for system reliability analysis (Kim et al, 2013). In order to overcome this difficulty, many studies have focused on the possibility of using only dominant failure modes with significant likelihood, instead of using all possible failure modes (Moses et al, 1979;Murotsu et al, 1984).…”

Section: Selective Searching Technique For Dominant Fail-ure Modesmentioning

confidence: 99%

“…Shao et al, 1999, proposed an improved simulation-based selective searching technique which genetic algorithm (GA) is used to find as small number of dominant failure modes. Kim et al, 2013, proposed a similar searching method to the one by (Murotsu et al, 1984), in that a GA scheme is used for search, but different in terms of two distinct GA search strategies such as searching direction and elitism. Therefore, dominant failure modes are obtained by a simulation-based selective searching technique employing a genetic algorithm the probabilities of the failure are computed by a matrix based system reliability (MSR) method.…”

Section: Selective Searching Technique For Dominant Fail-ure Modesmentioning

confidence: 99%

“…Such system reliability analysis aims to compute the probability of the system failure event E sys , which is often described as a cut-set system, i.e. (Kim et al, 2013):…”

Section: Introductionmentioning

confidence: 99%

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Multi-Scale System Reliability Analysis

Esposito

Gomes

2015

Procedings of the XXXVI Iberian Latin American Congress on Computational Methods in Engineering

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Abstract. The development of methods that allow to numerically reproduce the actual behavior of real structural systems has challenged scientists and researchers and urged them to address issues that extend beyond the integrity of a system. Therefore, a series of new parameters must be taken into account to evaluate the failure of a real structural system, especially in redundant systems. In the present paper, an accurate technique is developed to satisfy the probabilistic analysis. The proposed method estimates the reliability of the system with techniques that enable detecting multiple failure modes and, using the chi-squared distribution, a one direction exact integration is performed to calculate the failure probability of each mode in a more precise way than conventional approximation and simulation methods. This technique is based on the conventional (HDM) Hyperspace Division Method procedures which approximate the limit state surface by a series of spherical segments for provide accurate estimates of failure probabilities of components or systems. Besides, in this work, nonlinearity is considered by adopting an elastic plasticity model with linear hardening. Numerical applications showed the accuracy and efficiency of the methodology in the evaluation of the failure probability of problems represented by high nonlinear limit state functions with multiple failure regions.

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Section: Selective Searching Technique For Dominant Fail-ure Modesmentioning

confidence: 99%

Section: Selective Searching Technique For Dominant Fail-ure Modesmentioning

confidence: 99%

Section: Selective Searching Technique For Dominant Fail-ure Modesmentioning

confidence: 99%

“…Such system reliability analysis aims to compute the probability of the system failure event E sys , which is often described as a cut-set system, i.e. (Kim et al, 2013):…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Multi-Scale System Reliability Analysis

Esposito

Gomes

2015

Procedings of the XXXVI Iberian Latin American Congress on Computational Methods in Engineering

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“…Due to the common-source of the input random variables of the system, such as the external loads, the geometric parameters and the material properties, the existing failure modes would be correlated to a certain extend [2,13]. From another perspective, it means that a failure may cause another failure occurs more rapidly, or just the opposite.…”

Section: Introductionmentioning

confidence: 99%

The probabilistic analysis and optimal design of a bevel gear transmission system with failure interaction

Lü

Zhencai

2017

EiN

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Article citation info: IntroductionGenerally, multiple failure modes may occur in a gear transmission system. Due to the common-source of the input random variables of the system, such as the external loads, the geometric parameters and the material properties, the existing failure modes would be correlated to a certain extend [2,13]. From another perspective, it means that a failure may cause another failure occurs more rapidly, or just the opposite. Actually, whether the dependence of different failure modes is considered during the reliability design process may affect the system reliability estimation greatly. The commonly used independent assumption between failure modes usually leads to defects in gear HAO L, ZHENCAI Z. The probabilistic analysis and optimal design of a bevel gear transmission system with failure interaction. Eksploatacja i Niezawodnosc -Maintenance and Reliability 2017; 19 (2): 220-228, http://dx.doi.org/10.17531/ein.2017.2.9. Lu HAO Zhu ZHENCAIThe probabilisTic analysis and opTimal design of a bevel gear Transmission sysTem wiTh failure inTeracTion probabilisTyczna analiza i opTymalne projekTowanie układu przekładni sTożkowej z uwzględnieniem inTerakcji między uszkodzeniami

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A Hybrid Method for Structural System Reliability-Based Design Optimization and its Application to Trusses

Liu

Yin

2015

Qual. Reliab. Engng. Int.

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Most research studies on structural optimum design have focused on single‐objective optimization of deterministic structures, while little study has been carried out to address multi‐objective optimization of random structures. Statistical parameters and redundancy allocation problems should be considered in structural optimization. In order to address these problems, this paper presents a hybrid method for structural system reliability‐based design optimization (SRBDO) and applies it to trusses. The hybrid method integrates the concepts of the finite element method, radial basis function (RBF) neural networks, and genetic algorithms. The finite element method was used to compute structural responses under random loads. The RBF neural networks were employed to approximate structural responses for the purpose of replacing the structural limit state functions. The system reliabilities were calculated by Monte Carlo simulation method together with the trained RBF neural networks. The optimal parameters were obtained by genetic algorithms, where the system reliabilities were converted into penalty functions in order to address the constrained optimization. The hybrid method applied to trusses was demonstrated by two examples which were a typical 10‐bar truss and a steel truss girder structure. Detailed discussions and parameter analysis for the failure sequences such as web‐bucking failure and beam‐bending failure in the SRBDO were given. This hybrid method provides a new idea for SRBDO of trusses. Copyright © 2015 John Wiley & Sons, Ltd.

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System reliability analysis using dominant failure modes identified by selective searching technique

Cited by 52 publications

References 30 publications

Multi-Scale System Reliability Analysis

Multi-Scale System Reliability Analysis

The probabilistic analysis and optimal design of a bevel gear transmission system with failure interaction

A Hybrid Method for Structural System Reliability-Based Design Optimization and its Application to Trusses

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