LEAST SQUARES SUPPORT VECTOR MACHINE-BASED ADVANCE MONTE CARLO METHODS FOR RELIABILITY ANALYSIS OF STRUCTURES

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MOJAHED M.; AHMADI NEDUSHAN B.

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Journal: Ferdowsi Civil Engineering Year:2017 | Volume:29 | Issue:1 (17) Page(s): 109-121

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Information Journal Paper

Title

LEAST SQUARES SUPPORT VECTOR MACHINE-BASED ADVANCE MONTE CARLO METHODS FOR RELIABILITY ANALYSIS OF STRUCTURES

Author(s)

MOJAHED M. | AHMADI NEDUSHAN B. | Issue Writer Certificate

Keywords

STRUCTURAL RELIABILITYQ1

ADVANCED MONTE CARLO METHODSQ1

SUPPORT VECTOR MACHINEQ1

FAILURE PROBABILITYQ2

Abstract

The FAILURE PROBABILITY of structures are rather small and therefore calculation of STRUCTURAL RELIABILITY generally has a high computational cost. In order to reduce computational costs, this articles proposes a hybrid approach based on combination of the least squares support vector regression and two ADVANCED MONTE CARLO METHODS: importance sampling and Latin hypercube sampling. Two frames and one truss example are used to evaluate the performance of the proposed algorithm. Results demonstrate that proposed method provides an accurate estimation of FAILURE PROBABILITY and that the computational costs are lower than those of other methods.

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APA: Copy

MOJAHED, M., & AHMADI NEDUSHAN, B.. (2017). LEAST SQUARES SUPPORT VECTOR MACHINE-BASED ADVANCE MONTE CARLO METHODS FOR RELIABILITY ANALYSIS OF STRUCTURES. JOURNAL OF CIVIL ENGINEERING (JOURNAL OF SCHOOL OF ENGINEERING), 29(1 (17)), 109-121. SID. https://sid.ir/paper/195834/en

Vancouver: Copy

MOJAHED M., AHMADI NEDUSHAN B.. LEAST SQUARES SUPPORT VECTOR MACHINE-BASED ADVANCE MONTE CARLO METHODS FOR RELIABILITY ANALYSIS OF STRUCTURES. JOURNAL OF CIVIL ENGINEERING (JOURNAL OF SCHOOL OF ENGINEERING)[Internet]. 2017;29(1 (17)):109-121. Available from: https://sid.ir/paper/195834/en

IEEE: Copy

M. MOJAHED, and B. AHMADI NEDUSHAN, “LEAST SQUARES SUPPORT VECTOR MACHINE-BASED ADVANCE MONTE CARLO METHODS FOR RELIABILITY ANALYSIS OF STRUCTURES,” JOURNAL OF CIVIL ENGINEERING (JOURNAL OF SCHOOL OF ENGINEERING), vol. 29, no. 1 (17), pp. 109–121, 2017, [Online]. Available: https://sid.ir/paper/195834/en

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