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Detail Control Strategies for Topology Optimization in Architectural Design and Development

journal contribution
posted on 2024-11-02, 18:04 authored by Xin Yan, Dingwen BaoDingwen Bao, Yufang Zhou, Yimin Xie, Tong Cui
With the ability to generate forms with high efficiency and elegant geometry, topology optimization has been increasingly used in architectural and structural designs. However, the conventional topology optimization techniques aim at achieving the structurally most efficient solution without any potential for architects or designers to control the design details. This paper introduces three strategies based on Bi-directional Evolutionary Structural Optimization (BESO) method to artificially pre-design the topological optimized structures. These strategies have been successfully applied in the computational morphogenesis of various structures for solving practical design problems. The results demonstrate that the developed methodology can provide the designer with structurally efficient and topologically different solutions according to their proposed designs with multi-filter radii, multi-volume fractions, and multi-weighting coefficients. This work establishes a general approach to integrating objective topology optimization methods with subjective human design preferences, which has great potential for practical applications in architecture and engineering industry.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1016/j.foar.2021.11.001
  2. 2.
    ISSN - Is published in 20952635

Journal

Frontiers of Architectural Research

Volume

11

Issue

2

Start page

340

End page

356

Total pages

17

Publisher

Ke Ai Publishing Communications

Place published

China

Language

English

Copyright

© 2021 Higher Education Press Limited Company. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Former Identifier

2006112061

Esploro creation date

2022-05-18

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