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A semi-implicit level set method for structural shape and topology optimization

Author
JUNZHAO LUO1 ; ZHEN LUO2 ; LIPING CHEN1 ; LIYONG TONG2 ; WANG, Michael Yu3
[1] National Engineering Research Center for CAD, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
[2] School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney, NSW 2006, Australia
[3] Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin N. T, Hong-Kong
Source

Journal of computational physics (Print). 2008, Vol 227, Num 11, pp 5561-5581, 21 p ; ref : 71 ref

ISSN
0021-9991
Scientific domain
Computer science; Theoretical physics
Publisher
Elsevier, Amsterdam
Publication country
Netherlands
Document type
Article
Language
English
Author keyword
Level set methods Semi-implicit schemes Shape optimization Topology optimization
Keyword (fr)
Décomposition opérateur Equation dérivée partielle Invariance rotationnelle Méthode calcul Optimisation Paroi domaine Probabilité Régularisation Technique calcul Temps relaxation Topologie
Keyword (en)
Operator splitting Partial differential equations Rotational invariance Calculation methods Optimization Domain walls Probability Regularization Calculation Relaxation time Topology
Keyword (es)
Descomposición operador Regularización
Classification
Pascal
001 Exact sciences and technology / 001B Physics / 001B00 General / 001B00B Mathematical methods in physics / 001B00B70 Computational techniques

Discipline
Mathematics Theoretical physics
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
20354956

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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