Computational Design of Lightweight Trusses. (December 2021)

• Record Type: Journal Article
• Authors: Jiang, Caigui; Tang, Chengcheng; Seidel, Hans-Peter; Chen, Renjie; Wonka, Peter
• Is Part Of: Computer aided design. Volume 141(2021)
• Publication Date: 2021-12
• Subjects: Truss -- Topology optimization -- Geometry; Computer-aided design -- Periodicals; Engineering design -- Data processing -- Periodicals; Computer graphics -- Periodicals; Conception technique -- Informatique -- Périodiques; Infographie -- Périodiques; Computer graphics; Engineering design -- Data processing; Periodicals; Electronic journals; 620.00420285
• DOI: 10.1016/j.cad.2021.103076
• Languages: English
• ISSNs: 0010-4485

Abstract

Abstract: Trusses are load-carrying light-weight structures consisting of bars connected at joints ubiquitously applied in a variety of engineering scenarios. Designing optimal trusses that satisfy functional specifications with a minimal amount of material has interested both theoreticians and practitioners for more than a century. In this paper, we introduce two main ideas to improve upon the state of the art. First, we formulate an alternating linear programming problem for geometry optimization. Second, we introduce two sets of complementary topological operations, including a novel subdivision scheme for global topology refinement inspired by Michell's famed theoretical study. Based on these two ideas, we build an efficient computational framework for the design of lightweight trusses. We show that our method achieves trusses with smaller volumes and is faster compared with recent state-of-the-art approaches. Highlights: We propose two categories of complementary topology operations, local and global. We introduce a novel algorithm for geometry optimization based on alternating linear programming(ALP). Compared with recent state-of-the art approaches, our method creates trusses with smaller volumes, can handle more complex functional specifications, and is over two orders of magnitude faster. Graphical abstract: