Optimization applied to dynamic poroelasticity using boundary element method (BEM) and genetic algorithm (GA)

Anunciação Jr.N. C; Anflor C.T.M; Goulart J.N.V

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Research Article

Optimization applied to dynamic poroelasticity using boundary element method (BEM) and genetic algorithm (GA)

Anunciação Jr.N. C ^*, Anflor C.T.M, Goulart J.N.V

Group of Experimental and Computational Mechanics (GMEC), University of Brasilia, Brazil

Keywords

Abstract

Poroelasticity,

Dynamic,

Soil,

Boundary Element Method,

Genetic Algorithm

This paper focused on developing a methodology based on coupling the Genetic Algorithm (GA) and the Boundary Element Method (BEM) for predicting the mechanical properties of a soil if a previous displacement x frequency curve is known. The NSGA-II (Elitist Non-Dominated Sorting Genetic Algorithm) was chosen for optimizing a dynamic poroelastic problem. The revisited problem introduced by Cheng is the benchmark used to verify the numerical routine and to apply the proposed optimization procedure. The present methodology was shown to be able to predict the mechanical properties of the underground soil if a displacement x frequency curve is previously known.

DOI: http://dx.doi.org/10.17515/resm2017.34ds1108 Full Text

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LATEST AWARDS

2022 Reviewer Awards:

Please, visit Reviewer Awards section for the winners of the 2022 RESM reviewer awards.

Reviewer Awards section

2022 Best Paper Award:

The paper authored by Nitin Kumar, Michele Barbato, Erika L. Rengifo-López and Fabio Matta entitled as “Capabilities and limitations of existing finite element simplified micro-modeling techniques for unreinforced masonry” is awarded the

2022 Best Paper Award

2022 Most Cited Paper Award:

The paper authored by Aykut Elmas, Güliz Akyüz, Ayhan Bergal, Müberra Andaç and Ömer Andaç entitled as “Mathematical modelling of drug release" is awarded the

2022 Most Cited Paper Award.

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