2016
DOI: 10.1007/s12205-016-1312-9
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An improvement of the response surface method based on reference points for structural reliability analysis

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Cited by 10 publications
(2 citation statements)
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“…When the probability distribution of input variables is determined according to the test data or specification parameters, the response surface method could be adopted to analyze the structural reliability 30 . In response surface method, a fitted response surface is adopted to replace the complex functional equation, which is essentially an improvement of Monte Carlo method and could greatly improve the efficiency of reliability evaluation 31 . However, the calculation accuracy of response surface method depends on the fitting degree of the selected sample points near the limit state surface 32 .…”
Section: Reliability Analysis Methods Of Arch Dammentioning
confidence: 99%
“…When the probability distribution of input variables is determined according to the test data or specification parameters, the response surface method could be adopted to analyze the structural reliability 30 . In response surface method, a fitted response surface is adopted to replace the complex functional equation, which is essentially an improvement of Monte Carlo method and could greatly improve the efficiency of reliability evaluation 31 . However, the calculation accuracy of response surface method depends on the fitting degree of the selected sample points near the limit state surface 32 .…”
Section: Reliability Analysis Methods Of Arch Dammentioning
confidence: 99%
“…In such case, direct Monte Carlo approach may be unacceptable in the stochastic analysis since the finite element dynamic analysis must be required in every sample. The present research, therefore, adopts response surface method (RSM; Faravelli, 1989; Hariri-Ardebili et al, 2018; Zhao et al, 2016; Zheng and Das, 2000). Through approximating the implicit response function by a basic and explicit polynomial, the RSM provides an efficient and versatile way to apply numerical methods suitable for the explicitly expressed function taken into analysis with the implicit form (Huh and Haldar, 2001).…”
Section: Introductionmentioning
confidence: 99%