Topology optimization of geometrically nonlinear trusses with spurious eigenmodes control. (15th January 2017)

• Record Type: Journal Article
• Authors: Li, Lei; Khandelwal, Kapil
• Is Part Of: Engineering structures. Volume 131(2017:Jan. 15)
• Page Start: 324
• Page End: 344
• Publication Date: 2017-01-15
• Subjects: Truss topology optimization -- Geometric nonlinearity -- Critical load constraint -- Spurious eigen-modes -- Nonlinear systems; Structural engineering -- Periodicals; Structural analysis (Engineering) -- Periodicals; Construction, Technique de la -- Périodiques; Génie parasismique -- Périodiques; Pression du vent -- Périodiques; Earthquake engineering; Structural engineering; Wind-pressure; Periodicals; 624.105
• DOI: 10.1016/j.engstruct.2016.11.001
• Languages: English
• ISSNs: 0141-0296

Abstract

Highlights: Topology optimization of geometrically nonlinear trusses is presented. Stability constraints are considered to ensure the stability of final topologies. A spurious eigenmode identification method is presented for nonlinear trusses. Effectiveness of the proposed approaches for handling stability issues is verified. Abstract: In this paper, topology optimization of geometrically nonlinear trusses with and without stability constraints is investigated. It is shown that if classical minimum compliance formulation is considered without any stability constraints, the optimized designs are unstable and convergence issues may be encountered in the nonlinear structural analyses. To address these issues, a minimum compliance formulation with critical load factor constraint is proposed together with a strategy based on spurious modal energy ratio to determine the true critical eigenmodes and the corresponding critical load factor. Several numerical examples are presented to demonstrate the effectiveness of the proposed approach, which show that the optimized truss topologies obtained using the proposed approach are stable. More importantly, the critical load constraint is able to guarantee that the first critical load of the optimized design is always above the applied load so that the proposed approach is free from convergence issues during the Newton Raphson solution process.