Topology optimization aided structural design: Interpretation, computational aspects and 3D printing

Heliyon

Ioannis Kanellopoulos¹  Nikos D. Lagaros¹  Georgios Kazakis²  Stefanos Sotiropoulos² 

[1] Antiseismic Research, Department of Structural Engineering, School of Civil Engineering, National Technical University of Athens, 9, Heroon Polytechniou Str., Zografou Campus, GR-15780 Athens, Greece;;Institute of Structural Analysis &

关键词: Computational Mathematics;    Industrial Engineering;    Computer Science;    Civil Engineering;    Structural Engineering;   

DOI  :  

来源: DOAJ

【 摘 要 】

Construction industry has a major impact on the environment that we spend most of our life. Therefore, it is important that the outcome of architectural intuition performs well and complies with the design requirements. Architects usually describe as “optimal design” their choice among a rather limited set of design alternatives, dictated by their experience and intuition. However, modern design of structures requires accounting for a great number of criteria derived from multiple disciplines, often of conflicting nature. Such criteria derived from structural engineering, eco-design, bioclimatic and acoustic performance. The resulting vast number of alternatives enhances the need for computer-aided architecture in order to increase the possibility of arriving at a more preferable solution. Therefore, the incorporation of smart, automatic tools in the design process, able to further guide designer’s intuition becomes even more indispensable. The principal aim of this study is to present possibilities to integrate automatic computational techniques related to topology optimization in the phase of intuition of civil structures as part of computer aided architectural design. In this direction, different aspects of a new computer aided architectural era related to the interpretation of the optimized designs, difficulties resulted from the increased computational effort and 3D printing capabilities are covered here in.

【 授权许可】

Unknown