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

Articolo
Data di Pubblicazione:
2021
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.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Structural topology optimization; Phase-field method; Mixed variational principles; Simultaneous analysis and design; Volume minimization
Elenco autori:
Auricchio, Ferdinando; Reali, Alessandro; Rocca, Elisabetta; Stefanelli, ULISSE MARIA
Autori di Ateneo:
STEFANELLI ULISSE MARIA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/460694
Pubblicato in:
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
Journal
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URL

https://link.springer.com/article/10.1007/s00158-021-03017-8
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