Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Evolutionary topology optimization for structural compliance minimization considering design-dependent FSI loads

Picelli Sanches, Renato, Vicente, W. M. and Pavanello, R. 2017. Evolutionary topology optimization for structural compliance minimization considering design-dependent FSI loads. Finite Elements in Analysis and Design 135 , pp. 44-55.

Full text not available from this repository.

Abstract

This work presents an extended bi-directional evolutionary structural optimization (BESO) method applied to static structural design problems considering the interaction between viscous fluid flows and linearly elastic structures. The fluid flow is governed by incompressible and steady-state Navier-Stokes equations. Both domains are solved with the finite element method and simplifying conditions are assumed for the fluid-structure coupling, such as small structural displacements and deformations in a staggered method. The presented BESO method aims to minimize structural compliance in a so called “wet” optimization problem, in which the fluid loads location, direction and magnitude depend on the structural layout. In this type of design-dependent loading problem, density-based topology optimization methods require extra numerical techniques (usually mixed models with overlapping domains) in order to model the interaction of different governing equations during the optimization procedures. In this work, the discrete nature of the evolutionary topology optimization approach allows the fluid-structure boundaries to be modelled and modified straightforwardly by switching the discrete design variables between fluid and structural finite elements. Therefore, separate domains are used in this approach. Numerical results show that the BESO-based methods can be applied to this kind of multiphysics problem effectively and efficiently.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: Elsevier
ISSN: 0168-874X
Date of Acceptance: 12 July 2017
Last Modified: 19 Oct 2019 03:23
URI: http://orca-mwe.cf.ac.uk/id/eprint/108183

Actions (repository staff only)

Edit Item Edit Item