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DALIAN UNIVERSITY OF TECHNOLOGY Login 中文
Xia Yang

Associate Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates


Gender:Male
Alma Mater:大连理工大学
Degree:Doctoral Degree
School/Department:力学与航空航天学院
Discipline:Vehicle Engineering. Computational Mechanics. Solid Mechanics
Business Address:大连理工大学综合实验2号楼316A房
Contact Information:yangxia@dlut.edu.cn
E-Mail:yangxia@dlut.edu.cn
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Design of self-supporting surfaces with isogeometric analysis

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Indexed by:期刊论文

Date of Publication:2019-08-15

Journal:COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Included Journals:EI、SCIE

Volume:353

Page Number:328-347

ISSN No.:0045-7825

Key Words:Masonry structure; Self-supporting; Isogeometric analysis; Equilibrium approach; Architectural geometry

Abstract:Self-supporting surfaces are widely used in contemporary architecture, but their design remains a challenging problem. This paper aims to provide a heuristic strategy for the design of complex self-supporting surfaces. In our method, non-uniform rational B-spline (NURBS) surfaces are used to describe the smooth geometry of the self-supporting surface. The equilibrium state of the surface is derived with membrane shell theory and Airy stresses within the surfaces are used as tunable variables for the proposed heuristic design strategy. The corresponding self-supporting shapes to the given stress states are calculated by the nonlinear isogeometric analysis (IGA) method. Our validation using analytic catenary surfaces shows that the proposed method finds the correct self-supporting shape with a convergence rate one order higher than the degree of the applied NURBS basis function. Tests on boundary conditions show that the boundary's influence propagates along the main stress directions in the surface. Various self-supporting masonry structures, including models with complex topology, are constructed using the presented method. Compared with existing methods such as thrust network analysis and dynamic relaxation, the proposed method benefits from the advantages of NURBS-based IGA, featuring smooth geometric description, good adaption to complex shapes and increased efficiency of computation. (C) 2019 Elsevier B.V. All rights reserved.