Matches in SemOpenAlex for { <https://semopenalex.org/work/W3100780504> ?p ?o ?g. }
- W3100780504 endingPage "113298" @default.
- W3100780504 startingPage "113298" @default.
- W3100780504 abstract "This paper presents two important extensions of the multiple variable cutting (M-VCUT) level set method for the topology optimization of cellular structures. First, because the macroscale shape of a cellular structure can be highly irregular and the microstructures need to be optimized in an unstructured cell mesh, a mapping technique is developed to map microstructure prototypes from a reference square cell to quadrilateral cells. Second, in order to make the geometric representation model more flexible so that complex structures can be properly described, high order cutting functions, for instance biquadratic and bicubic cutting functions, are employed to cut the basic level set functions. While the merits of VCUT and M-VCUT level set methods are inherited (i.e., naturally connected microstructure and enlarged design freedom), the proposed two extensions enable the optimization to be more flexible to deal with cellular structure with more complex geometry." @default.
- W3100780504 created "2020-11-23" @default.
- W3100780504 creator A5002078636 @default.
- W3100780504 creator A5011472059 @default.
- W3100780504 creator A5026564599 @default.
- W3100780504 creator A5044301848 @default.
- W3100780504 date "2021-04-01" @default.
- W3100780504 modified "2023-10-16" @default.
- W3100780504 title "Optimizing cellular structures through the M-VCUT level set method with microstructure mapping and high order cutting" @default.
- W3100780504 cites W1864068975 @default.
- W3100780504 cites W1979168015 @default.
- W3100780504 cites W1988850348 @default.
- W3100780504 cites W1989504059 @default.
- W3100780504 cites W1993003181 @default.
- W3100780504 cites W2009828212 @default.
- W3100780504 cites W2016413885 @default.
- W3100780504 cites W2037240691 @default.
- W3100780504 cites W2062523101 @default.
- W3100780504 cites W2068668671 @default.
- W3100780504 cites W2071807727 @default.
- W3100780504 cites W2074647935 @default.
- W3100780504 cites W2092939767 @default.
- W3100780504 cites W2100745875 @default.
- W3100780504 cites W2110653497 @default.
- W3100780504 cites W2121373417 @default.
- W3100780504 cites W2132034927 @default.
- W3100780504 cites W2153245297 @default.
- W3100780504 cites W2181453853 @default.
- W3100780504 cites W2469519677 @default.
- W3100780504 cites W2508135389 @default.
- W3100780504 cites W2512121466 @default.
- W3100780504 cites W2566560133 @default.
- W3100780504 cites W2570376620 @default.
- W3100780504 cites W2575651956 @default.
- W3100780504 cites W2611741623 @default.
- W3100780504 cites W2621014878 @default.
- W3100780504 cites W2746167396 @default.
- W3100780504 cites W2758736486 @default.
- W3100780504 cites W2800367159 @default.
- W3100780504 cites W2801795659 @default.
- W3100780504 cites W2896431637 @default.
- W3100780504 cites W2900913361 @default.
- W3100780504 cites W2906519389 @default.
- W3100780504 cites W2909560347 @default.
- W3100780504 cites W2947286571 @default.
- W3100780504 cites W2949591260 @default.
- W3100780504 cites W2978906913 @default.
- W3100780504 cites W2984636347 @default.
- W3100780504 cites W2989198752 @default.
- W3100780504 cites W3032209860 @default.
- W3100780504 cites W377920640 @default.
- W3100780504 doi "https://doi.org/10.1016/j.compstruct.2020.113298" @default.
- W3100780504 hasPublicationYear "2021" @default.
- W3100780504 type Work @default.
- W3100780504 sameAs 3100780504 @default.
- W3100780504 citedByCount "14" @default.
- W3100780504 countsByYear W31007805042021 @default.
- W3100780504 countsByYear W31007805042022 @default.
- W3100780504 countsByYear W31007805042023 @default.
- W3100780504 crossrefType "journal-article" @default.
- W3100780504 hasAuthorship W3100780504A5002078636 @default.
- W3100780504 hasAuthorship W3100780504A5011472059 @default.
- W3100780504 hasAuthorship W3100780504A5026564599 @default.
- W3100780504 hasAuthorship W3100780504A5044301848 @default.
- W3100780504 hasConcept C11413529 @default.
- W3100780504 hasConcept C114614502 @default.
- W3100780504 hasConcept C124504099 @default.
- W3100780504 hasConcept C125269122 @default.
- W3100780504 hasConcept C127413603 @default.
- W3100780504 hasConcept C135628077 @default.
- W3100780504 hasConcept C135692309 @default.
- W3100780504 hasConcept C151756577 @default.
- W3100780504 hasConcept C153008295 @default.
- W3100780504 hasConcept C154945302 @default.
- W3100780504 hasConcept C177264268 @default.
- W3100780504 hasConcept C17744445 @default.
- W3100780504 hasConcept C184720557 @default.
- W3100780504 hasConcept C189216461 @default.
- W3100780504 hasConcept C199360897 @default.
- W3100780504 hasConcept C199539241 @default.
- W3100780504 hasConcept C2524010 @default.
- W3100780504 hasConcept C2776359362 @default.
- W3100780504 hasConcept C33923547 @default.
- W3100780504 hasConcept C41008148 @default.
- W3100780504 hasConcept C66938386 @default.
- W3100780504 hasConcept C89600930 @default.
- W3100780504 hasConcept C94625758 @default.
- W3100780504 hasConceptScore W3100780504C11413529 @default.
- W3100780504 hasConceptScore W3100780504C114614502 @default.
- W3100780504 hasConceptScore W3100780504C124504099 @default.
- W3100780504 hasConceptScore W3100780504C125269122 @default.
- W3100780504 hasConceptScore W3100780504C127413603 @default.
- W3100780504 hasConceptScore W3100780504C135628077 @default.
- W3100780504 hasConceptScore W3100780504C135692309 @default.
- W3100780504 hasConceptScore W3100780504C151756577 @default.
- W3100780504 hasConceptScore W3100780504C153008295 @default.
- W3100780504 hasConceptScore W3100780504C154945302 @default.
- W3100780504 hasConceptScore W3100780504C177264268 @default.