Kriging-based optimization of functionally graded structures
نویسندگان
چکیده
This work presents an efficient methodology for the optimum design of functionally graded structures using a Kriging-based approach. The method combines adaptive Kriging framework with hybrid particle swarm optimization (PSO) algorithm to improve computational efficiency process. In this approach, surrogate model is used replace high-fidelity structural responses obtained by NURBS-based isogeometric analysis. addition, impact key factors on modelling, as correlation function, infill criterion update model, and constraint handling assessed accuracy, efficiency, robustness. variables are related volume fraction distribution thickness. Displacement, fundamental frequency, buckling load, mass, ceramic objective functions or constraints. effectiveness accuracy proposed illustrated through set numerical examples. Results show significant reduction in effort over conventional
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ژورنال
عنوان ژورنال: Structural and Multidisciplinary Optimization
سال: 2021
ISSN: ['1615-1488', '1615-147X']
DOI: https://doi.org/10.1007/s00158-021-02949-5