Least Squares Support Vector Machine-based Advance Monte Carlo Methods for Reliability Analysis of Structures

Document Type : Research Note

Authors

• mohammad mahdi mojahed
• Behrouz Ahmadi-Nedushan

Yazd University

10.22067/civil.v29i1.19742

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

Keywords

• Structural Reliability
• Advanced Monte Carlo Methods
• Support vector machine
• Failure Probability

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