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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.)

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

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Author(s):
Picelli, Renato [1, 2] ; Neofytou, A. [2] ; Kim, H. Alicia [2, 3]
Total Authors: 3
Affiliation:
[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
Total Affiliations: 3
Document type: Journal article
Source: STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION; v. 60, n. 4, p. 1313-1326, OCT 2019.
Web of Science Citations: 0
Abstract

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)

FAPESP's process: 19/01685-3 - Addressing Design Challenges of Offshore Structures via Multiphysics Topology Optimization
Grantee:Renato Picelli Sanches
Support Opportunities: Scholarships in Brazil - Young Researchers
FAPESP's process: 18/05797-8 - Addressing design challenges of offshore structures via Multiphysics topology optimization
Grantee:Renato Picelli Sanches
Support Opportunities: Research Grants - Young Investigators Grants