Open AccessWeight Optimization of Thick Plate Structures Using Radial Basis Functions Parameterization
Author(s) -
Javad Marzbanrad,
Pooya Rostami
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/671/1/012011
Subject(s) - topology optimization , topology (electrical circuits) , radial basis function , parametric statistics , shape optimization , level set method , mathematics , set (abstract data type) , mathematical optimization , computer science , finite element method , structural engineering , engineering , statistics , combinatorics , segmentation , machine learning , artificial intelligence , artificial neural network , image segmentation , programming language
This study sought to optimize the weight of thick plate structures with topology optimization. Topology optimization is a numerical method for identification of voids in the design domain, to aid weight and material reduction. The level set approach is a new method in topology optimization. In this work, the radial basis functions level set approach is used to parameterize the continuum domain. The radial basis functions are used to parameterize the level set functions, which comprise axial symmetric, real value functions. These functions are suitable tools for function approximation. Thick plates are one of the most useful and familiar geometries in structural and mechanical engineering applications. Topology optimization of such structures would be very useful to identify efficient and lightweight plate structures. In this paper, the effectiveness of the parametric level set approach in topology optimization of clamped plate is demonstrated. The results show smooth boundaries and there are no intermediate densities, which constitutes a major advantage.