Topology optimization for design-dependent hydrostatic pressure loading via the level-set method

Autor(es)

Picelli, Renato ^{[1, 2]} ; Neofytou, A. ^[2] ; Kim, H. Alicia ^{[2, 3]}

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Dept Min & Petr Engn, Praca Narciso de Andrade, BR-11013560 Santos, SP - Brazil

^[2] Cardiff Univ, Cardiff Sch Engn, Queens Bldg, 14-17 Parade, Cardiff CF24 3AA, S Glam - Wales

^[3] Univ Calif San Diego, Struct Engn Dept, 9500 Gilman Dr, San Diego, CA 92093 - USA

• Tipo de documento: Artigo Científico
• Fonte: STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION; v. 60, n. 4, p. 1313-1326, OCT 2019.
• Citações Web of Science: 0

Resumo

A few level-set topology optimization (LSTO) methods have been proposed to address complex fluid-structure interaction. Most of them did not explore benchmark fluid pressure loading problems and some of their solutions are inconsistent with those obtained via density-based and binary topology optimization methods. This paper presents a LSTO strategy for design-dependent pressure. It employs a fluid field governed by Laplace's equation to compute hydrostatic fluid pressure fields that are loading linear elastic structures. Compliance minimization of these structures is carried out considering the design-dependency of the pressure load with moving boundaries. The Ersatz material approach with fixed grid is applied together with work equivalent load integration. Shape sensitivities are used. Numerical results show smooth convergence and good agreement with the solutions obtained by other topology optimization methods. (AU)

• Processo FAPESP: 19/01685-3 - Abordando Desafios de Projeto de Estruturas Offshore Através de Otimização Topológica Multifísica
• Beneficiário: Renato Picelli Sanches
• Modalidade de apoio: Bolsas no Brasil - Jovens Pesquisadores
• Processo FAPESP: 18/05797-8 - Abordando desafios de projeto de estruturas offshore através de otimização topológica multifísica
• Beneficiário: Renato Picelli Sanches
• Modalidade de apoio: Auxílio à Pesquisa - Jovens Pesquisadores