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Authors
Advisor(s)
Abstract(s)
Radial basis functions are being used in different scientific areas in order to reproduce the geometrical modeling of an object/structure, as well as to predict its behavior. Due to its characteristics, these functions are well suited for meshfree modeling of physical quantities, which for instances can be associated to the data sets of 3D laser scanning point clouds. In the present work the geometry of a structure is modeled by using multiquadric radial basis functions, and its configuration is further optimized in order to obtain better performances concerning to its static and dynamic behavior. For this purpose the authors consider the particle swarm optimization technique. A set of case studies is presented to illustrate the adequacy of the meshfree model used, as well as its link to particle swarm optimization technique. © 2014 IEEE.
Description
Keywords
Meshfree Method Particle Swarm Optimization Point Clouds Radial Basis Functions Structural Optimization Structure Modeling
Citation
BERNARDO, G. M. S.; LOJA, Maria Amélia Ramos – Optimization of structures modeled with a Meshfree approach. In 6th World Congress on Nature and Biologically Inspired Computing, NaBIC. New York : IEEE - Institute of Electrical and Electronics Engineers Inc., 2014. ISBN: 978-147995937-2. Art. nr. 6921881, pp. 220-225
Publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.