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Segmental multi-point linearization for parameter sensitivity approximation in reliability analysis
HighlightsWe propose a numerical method to approximate the sensitivity of failure probability.The proposed method is computationally efficient.The obtained approximation of the sensitivity of failure probability is accurate.The method can be applied to reliability-based design optimization problems.The method have many variations and potentials for extension.
AbstractThis paper proposes an efficient method named segmental multi-point linearization for accurate approximation of the sensitivity of failure probability with respect to design parameters. The method is established based on a piecewise linear fitting of the limit state surface and the analytical integral of the gradient of the failure probability with respect to parameters in the limit state function. The proposed method presents an attractive ratio of accuracy to computational cost. The general framework is scalable such that, by adjusting its complexity, different levels of accuracy can be achieved. The method is especially suitable to be implemented in gradient-based routines for solving reliability-based design optimization problems where accuracy of the parameter sensitivity is essential for convergence to an optimal solution.
Segmental multi-point linearization for parameter sensitivity approximation in reliability analysis
HighlightsWe propose a numerical method to approximate the sensitivity of failure probability.The proposed method is computationally efficient.The obtained approximation of the sensitivity of failure probability is accurate.The method can be applied to reliability-based design optimization problems.The method have many variations and potentials for extension.
AbstractThis paper proposes an efficient method named segmental multi-point linearization for accurate approximation of the sensitivity of failure probability with respect to design parameters. The method is established based on a piecewise linear fitting of the limit state surface and the analytical integral of the gradient of the failure probability with respect to parameters in the limit state function. The proposed method presents an attractive ratio of accuracy to computational cost. The general framework is scalable such that, by adjusting its complexity, different levels of accuracy can be achieved. The method is especially suitable to be implemented in gradient-based routines for solving reliability-based design optimization problems where accuracy of the parameter sensitivity is essential for convergence to an optimal solution.
Segmental multi-point linearization for parameter sensitivity approximation in reliability analysis
Liu, Ke (author) / Paulino, Glaucio H. (author) / Gardoni, Paolo (author)
Structural Safety ; 62 ; 101-115
2016-06-02
15 pages
Article (Journal)
Electronic Resource
English
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