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Optimización de topología robusta de estructuras continuas usando el método de Monte Carlo y modelos Kriging
2017
Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería
The aim of this paper is to introduce an efficient and accurate new approach called Monte Carlo and Kriging (MCK) to robust topology optimization. The objective is to minimize the expected value of "compliance" under concentrated loading uncertainty. The loading uncertainty may occur in magnitude, direction and/or position. The Monte Carlo simulation method and Kriging model are used to evaluate the objective function. To evaluate the expected value of "compliance" the probabilistic problem is
doi:10.23967/j.rimni.2017.5.005
fatcat:vzdjyqvi6fbiddt64jzbkotjre