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A Novel Framework For The Application Of Topology Optimization In Lightweight Structures

Author(s):



Medium: journal article
Language(s): English
Published in: Architecture and Engineering, , n. 3, v. 9
Page(s): 3-14
DOI: 10.23968/2500-0055-2024-9-3-3-14
Abstract:

Topology optimization has been widely used in the fields of mechanical and structural engineering. In the field of architecture, especially in the context of lightweight structures, a strong understanding of programming is essential for meaningful involvement. The purpose of the study was to establish a fundamental framework that facilitates the seamless implementation of topology optimization in the design of lightweight structures by architects. Methods: This work employed a deductive approach to analyze six case studies that involve the application of topology optimization in various lightweight constructions. The analysis was conducted based on a predefined set of criteria. Additionally, the deductive technique was used to establish a framework for implementing topology optimization in the design of lightweight structures. Finally, the framework was used to create an optimized lightweight structure (a pentagonal Roman vault). Findings: An analysis of all case studies was conducted using two distinct processes: the form-finding process and the fabrication process. This inquiry aimed to determine the procedural framework involved in the design and fabrication process of each case study. The underlying framework was derived through an analytical comparison of these six case studies. This framework enables the production of an optimized lightweight structure. Novelty: This study presents significant findings on topology optimization and its use in lightweight structures, offering essential insights for architects seeking to create aesthetically pleasing and distinctive architectural forms that prioritize high stiffness and low mass.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.23968/2500-0055-2024-9-3-3-14.
  • About this
    data sheet
  • Reference-ID
    10806528
  • Published on:
    10/11/2024
  • Last updated on:
    10/11/2024
 
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