Non-linear optimization of frames with variable section stiffness of columns using Genetic Algorithm

• Published in: IOP conference series. Materials Science and Engineering Vol. 913; no. 2; pp. 22007 - 22012
• Main Authors: Thuy Van, Tran Thi, Trung Kien, Nguyen
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.08.2020
• Subjects: Columns (structural); Finite element method; Frames; Genetic algorithms; Girders; Mathematical analysis; Optimization; Stability criteria; Stiffness; Structural engineering; Structural members
• ISSN: 1757-8981; 1757-899X
• DOI: 10.1088/1757-899X/913/2/022007

Recently, in structural engineering, many main elements in structural systems such as columns or girders are designed with variable cross-section for certain purposes. In addition, in order to determine the appropriate sizes or suitable shapes of structural elements for optimal volume of material under the effect of certain loading or with the given sizes of elements the structures can be subjected maximum loading, it is required to studied the optimization problem. This paper presents the non-linear weight optimization problem of frames with variable section stiffness of columns according to the strength, stiffness and stability criteria with the help of finite element method. The non-linear optimization problem is solved by the Genetic Algorithm. The calculation procedure of non-linear optimization of plane frames with variable section stiffness of columns is established and implemented using Matlab calculation programming software. From the results of numerical examples, the conclusions and recommendations will be proposed.