Mixed variational formulations for structural topology optimization based on the phase-field approach

Michele Marino, Ferdinando Auricchio, Alessandro Reali, Elisabetta Rocca, Ulisse Stefanelli

Veröffentlichungen: Beitrag in FachzeitschriftArtikelPeer Reviewed

Abstract

We propose a variational principle combining a phase-field functional for structural topology optimization with a mixed (three-field) Hu–Washizu functional, then including directly in the formulation equilibrium, constitutive, and compatibility equations. The resulting mixed variational functional is then specialized to derive a classical topology optimization formulation (where the amount of material to be distributed is an a priori assigned quantity acting as a global constraint for the problem) as well as a novel topology optimization formulation (where the amount of material to be distributed is minimized, hence with no pre-imposed constraint for the problem). Both formulations are numerically solved by implementing a mixed finite element scheme, with the second approach avoiding the introduction of a global constraint, hence respecting the convenient local nature of the finite element discretization. Furthermore, within the proposed approach it is possible to obtain guidelines for settings proper values of phase-field-related simulation parameters and, thanks to the combined phase-field and Hu–Washizu rationale, a monolithic algorithm solution scheme can be easily adopted. An insightful and extensive numerical investigation results in a detailed convergence study and a discussion on the obtained final designs. The numerical results clearly highlight differences between the two formulations as well as advantages related to the monolithic solution strategy; numerical investigations address both two-dimensional and three-dimensional applications.

OriginalspracheEnglisch
Seiten (von - bis)2627-2652
Seitenumfang26
FachzeitschriftStructural and Multidisciplinary Optimization
Jahrgang64
Ausgabenummer4
DOIs
PublikationsstatusVeröffentlicht - Okt. 2021

ÖFOS 2012

  • 101016 Optimierung

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