A single step optimization method for topology, size and shape of trusses using hybrid differential evolution and symbiotic organisms search. (1st October 2022)

• Record Type: Journal Article
• Authors: Dang, Khanh D.; Nguyen-Van, Sy; Thai, Son; Lee, Seunghye; Luong, Van Hai; Lieu, Qui X.
• Is Part Of: Computers & structures. Volume 270(2022)
• Publication Date: 2022-10-01
• Subjects: Single step optimization method -- Topology, size and shape -- Truss -- Mixed continuous-discrete variables -- Topology pseudo-area variable -- Hybrid differential evolution and symbiotic organisms search; Structural engineering -- Data processing -- Periodicals; Electronic data processing -- Structures, Theory of -- Periodicals; 624.171
• DOI: 10.1016/j.compstruc.2022.106846
• Languages: English
• ISSNs: 0045-7949

Abstract

Highlights: A single step optimization method for topology, size and shape of trusses is developed. A discrete topology pseudo-area variable based on a penalty parameter is utilized. A hybrid differential evolution and symbiotic organisms search is refined. Eight examples are tested to verify the robustness of the suggested approach. The present paradigm yields competitive high-quality outcomes against many other state-of-the-art algorithms. Abstract: In this article, a single step optimization approach for topology, size and shape of trusses subjected to multiple static and free vibration constraints is developed. For that aim, a topology pseudo-area variable based on a penalty parameter is discretely assigned by either 10 −3 or 1 which represents the absence or attendance of a truss member. This helps to not only dodge the singularity of global stiffness matrix as resolving the equilibrium equation system, but also preserve the intact finite element model structure without unnecessarily and repeatedly done time-consuming performances in finite element analyses. The members' cross-sectional area serves as discrete/continuous size variables, whilst nodes' spatial coordinates are considered as continuous shape ones. The structural weight is minimized with multiple restrictions on kinematic stability, stress, displacement, natural frequency and Euler buckling loading. A hybrid differential evolution and symbiotic organisms search is employed as an optimizer and refined to tackle both continuous and discrete variables. Eight well-known examples for simultaneous topology, size and shape optimization of 2D and 3D trusses imposed by multiple static and free vibration constraints are tested to verify the reliability and the robustness of the suggested paradigm. The current method can result in competitive high-quality solutions against other state-of-the-art algorithms in most of the examined examples. In addition, the current approach can be also extended to apply for simultaneous topology, size and shape optimization of large-scale trusses in practice.