A novel strategy for the crossarm length optimization of PSSCs based on multi-dimensional global optimization algorithms. (1st July 2021)

• Record Type: Journal Article
• Authors: Li, Pengcheng; Wang, Hao
• Is Part Of: Engineering structures. Volume 238(2021)
• Publication Date: 2021-07-01
• Subjects: PSSC -- Crossarm length -- Buckling load -- Optimization algorithm -- Multi-population genetic algorithm; 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.2021.112238
• Languages: English
• ISSNs: 0141-0296

Abstract

Highlights: A novel optimization method of determining the optimal crossarm length of PSSC. The method overcomes the drawbacks in the gradient-based optimization algorithm. A comparison for the optimal PSSCs with different kinds of variables was performed. Abstract: Prestressed stayed steel columns (PSSCs) offer a lightweight alternative for the design of slender compression columns. The stability of compression columns can be significantly enhanced by introducing crossarms. Previous research on this subject has primarily focused on load-carrying capacity estimation or analyses of the influencing factors of PSSCs. Thus, investigations of the design optimization of PSSCs remain scant. This work proposes a novel strategy for crossarm length optimization of PSSCs based on multi-dimensional global optimization algorithms. A multi-population genetic algorithm is introduced in the optimization process. The proposed optimization algorithm was demonstrated to be efficient and accurate in terms of determining the optimal crossarm length of PSSCs.