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pro vyhledávání: '"Marina Alves Maia"'
Publikováno v:
Repositório Institucional da Universidade Federal do Ceará (UFC)
Universidade Federal do Ceará (UFC)
instacron:UFC
Universidade Federal do Ceará (UFC)
instacron:UFC
This work presents an efficient methodology for the optimum design of functionally graded structures using a Kriging-based approach. The method combines an adaptive Kriging framework with a hybrid particle swarm optimization (PSO) algorithm to improv
Autor:
Marina Alves Maia, Evandro Parente, Antônio Macário Cartaxo de Melo, Leonardo Gonçalves Ribeiro
Publikováno v:
Repositório Institucional da Universidade Federal do Ceará (UFC)
Universidade Federal do Ceará (UFC)
instacron:UFC
Universidade Federal do Ceará (UFC)
instacron:UFC
This work presents an efficient methodology for optimum design of functionally graded plates. Isogeometric analysis is used to evaluate the structural responses and the material gradation is described using B-Splines to enhance design flexibility. A