2020
DOI: 10.1016/j.prostr.2020.11.077
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Application of Response Surface Method in Probabilistic Fatigue Crack Propagation Life Assessment using 3D FEA

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Cited by 2 publications
(4 citation statements)
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“…B i and B i s represent displacements contributions due to remote stress. By requiring i compatible displacements, a dense linear system of equations is formulated for a truncated number of rivets (9) that can be solved for the unknown rivet forces Q j , which is key for the determination of the SIF. preliminary studies to identify an appropriate number of truncated rivets have shown that 20 rivets per stiffener are sufficient for the SIF calculation throughout the crack growth calculation in order not to extend the computational effort.…”
Section: Sifs For Stiffened Structuresmentioning
confidence: 99%
See 1 more Smart Citation
“…B i and B i s represent displacements contributions due to remote stress. By requiring i compatible displacements, a dense linear system of equations is formulated for a truncated number of rivets (9) that can be solved for the unknown rivet forces Q j , which is key for the determination of the SIF. preliminary studies to identify an appropriate number of truncated rivets have shown that 20 rivets per stiffener are sufficient for the SIF calculation throughout the crack growth calculation in order not to extend the computational effort.…”
Section: Sifs For Stiffened Structuresmentioning
confidence: 99%
“…A few points concerning such tools are given in Section 3.5. In literature also, some sources are found dealing with reduced order models for crack propagation issues [9]. What is not found are cases where the applied problem of damage tolerance with a combination of criteria is handled.…”
Section: Introductionmentioning
confidence: 99%
“…Extreme response surface method (ERSM) was developed to improve the performance of RSM with high efficiency and accuracy [ 19 , 20 ]. Moreover, systems in practical engineering usually contain multiple components and multiple failure modes.…”
Section: Dc-ilssvr Approach—thin-walled Tube Reliability Analysismentioning
confidence: 99%
“…For reliability analysis of stochastic structures, surrogate models such as: the response surface method [ 18 , 19 , 20 ]; support vector machine (SVM) [ 21 , 22 , 23 ]; kriging model [ 24 , 25 , 26 ]; artificial neural network (ANN) [ 16 ], etc., have all been employed in various industries. One efficient method with good robustness used for the approximation of nonlinear functions and small samples is, least squares support vector regression (LS-SVR), which is a widely used application in structural reliability analysis.…”
Section: Introductionmentioning
confidence: 99%