2014
DOI: 10.12989/sem.2014.49.1.111
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Capabilities of stochastic response surface method and response surface method in reliability analysis

Abstract: The stochastic response surface method (SRSM) and the response surface method (RSM) are often used for structural reliability analysis, especially for reliability problems with implicit performance functions. This paper aims to compare these two methods in terms of fitting the performance function, accuracy and efficiency in estimating probability of failure as well as statistical moments of system output response. The computational procedures of two response surface methods are briefly introduced first. Then … Show more

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Cited by 40 publications
(10 citation statements)
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“…The RS is more dependent tool for quality engineering areas [18,19]. The methodology of the RS have two benefits, the approximately of the inverse problems can be solved without take in your account the engineering modeling, and the approximately results of RS can be estimated using powerful statistical tools.…”
Section: Response Surface (Rs) Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The RS is more dependent tool for quality engineering areas [18,19]. The methodology of the RS have two benefits, the approximately of the inverse problems can be solved without take in your account the engineering modeling, and the approximately results of RS can be estimated using powerful statistical tools.…”
Section: Response Surface (Rs) Methodsmentioning
confidence: 99%
“…In this case, there are discrete longitudinal strips spanning (beam strips), is the estimation results of the Ω by RS method and the coefficients are obtained with the least square errors method [18,19]. The estimations of the Ω by RS function in Eq.…”
Section: Response Surface (Rs) Methodsmentioning
confidence: 99%
“…Response surface methodology 23,24 is a collection of mathematical and statistical techniques that are useful for the modelling and analysis of problems in which a response of interest is influenced by several quantifiable variables (or factors), with the objective of optimizing the response. RSM seeks to identify the relationship between the response and the control factors.…”
Section: Response Surface Methodsmentioning
confidence: 99%
“…The response surface model (RSM) is a statistical technique proposed by Box and Wilson, which can be used for process parameter modeling and optimization [14]. It is widely used in wastewater treatment, especially in improving the efficiency of pollutant removal.…”
Section: Introductionmentioning
confidence: 99%