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contributor authorBi, Yikang
contributor authorLi, Shaoshuai
contributor authorZhu, Yichao
date accessioned2024-04-24T22:30:57Z
date available2024-04-24T22:30:57Z
date copyright12/11/2023 12:00:00 AM
date issued2023
identifier issn0021-8936
identifier otherjam_91_4_041005.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4295360
description abstractIn this study, a hybrid MMC-AABH plus approach is developed for the fast optimal design of shell-graded-infill structures. The key idea is to use a proper description about the graded microstructural infill and the coating shell. To this end, a set of moving morphable components is adopted to represent the boundary of the coating shell, while the graded-infill is embodied by spatially varying orthotropic porous configurations. Under such a treatment, with a small number of design variables, both the boundary of the coating shell and the graded microstructure infill can be optimized simultaneously. Other attractive features of the present study are summarized as follows. First, the smooth variation across the microstructural infill can be automatically satisfied based on the proposed approach compared with other similar methods. Second, with the use of the extreme value principle of Laplace equation, the minimum feature size can be explicitly controlled during the optimization. Finally, compared with other methods in the frontier, the approach proposed in the present study enjoys a considerable reduction in the computation cost and can obtain a near-optimal design of the coating structures. The effectiveness of the proposed approach is further demonstrated with numerical examples.
publisherThe American Society of Mechanical Engineers (ASME)
titleFast Optimal Design of Shell-Graded-Infill Structures With Explicit Boundary by a Hybrid MMC-AABH Plus Approach
typeJournal Paper
journal volume91
journal issue4
journal titleJournal of Applied Mechanics
identifier doi10.1115/1.4064035
journal fristpage41005-1
journal lastpage41005-10
page10
treeJournal of Applied Mechanics:;2023:;volume( 091 ):;issue: 004
contenttypeFulltext


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