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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Bi-directional evolutionary structural optimization for design-dependent fluid pressure loading problems

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Author(s):
Picelli, R. [1] ; Vicente, W. M. [1] ; Pavanello, R. [1]
Total Authors: 3
Affiliation:
[1] Univ Estadual Campinas, UNICAMP, Fac Mech Engn, Dept Computat Mech, BR-13083860 Campinas, SP - Brazil
Total Affiliations: 1
Document type: Journal article
Source: ENGINEERING OPTIMIZATION; v. 47, n. 10, p. 1324-1342, OCT 3 2015.
Web of Science Citations: 13
Abstract

This article presents an evolutionary topology optimization method for compliance minimization of structures under design-dependent pressure loads. In traditional density based topology optimization methods, intermediate values of densities for the solid elements arise along the iterations. Extra boundary parametrization schemes are demanded when these methods are applied to pressure loading problems. An alternative methodology is suggested in this article for handling this type of load. With an extended bi-directional evolutionary structural optimization method associated with a partially coupled fluid-structure formulation, pressure loads are modelled with hydrostatic fluid finite elements. Due to the discrete nature of the method, the problem is solved without any need of pressure load surfaces parametrization. Furthermore, the introduction of a separate fluid domain allows the algorithm to model non-constant pressure fields with Laplace's equation. Three benchmark examples are explored in order to show the achievements of the proposed method. (AU)

FAPESP's process: 13/08293-7 - CCES - Center for Computational Engineering and Sciences
Grantee:Munir Salomao Skaf
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC
FAPESP's process: 11/09730-6 - Evolutionary Structural Optimization in Problems of Fluid-Structure Interaction
Grantee:Renato Picelli Sanches
Support Opportunities: Scholarships in Brazil - Doctorate