Weight optimization of plane truss using genetic algorithm

14th International Conference on Science, Engineering and Technology

自然科学;工业技术

Neeraja, D.^1 ; Kamireddy, Thejesh^1 ; Kumar, Potnuru Santosh^1 ; Reddy, Vijay Simha^1

School of Civil and Chemical Engineering, VIT University, Vellore

Tamilnadu

632014, India^1

关键词: Buckling stability;    Construction steels;    Engineering fields;    Genetic optimization algorithm;    Natural selection;    Optimization of structures;    Structural elements;    Weight optimization;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/263/3/032015/pdf
DOI  :  10.1088/1757-899X/263/3/032015

来源: IOP

【 摘 要 】

Optimization of structure on basis of weight has many practical benefits in every engineering field. The efficiency is proportionally related to its weight and hence weight optimization gains prime importance. Considering the field of civil engineering, weight optimized structural elements are economical and easier to transport to the site. In this study, genetic optimization algorithm for weight optimization of steel truss considering its shape, size and topology aspects has been developed in MATLAB. Material strength and Buckling stability have been adopted from IS 800-2007 code of construction steel. The constraints considered in the present study are fabrication, basic nodes, displacements, and compatibility. Genetic programming is a natural selection search technique intended to combine good solutions to a problem from many generations to improve the results. All solutions are generated randomly and represented individually by a binary string with similarities of natural chromosomes, and hence it is termed as genetic programming. The outcome of the study is a MATLAB program, which can optimise a steel truss and display the optimised topology along with element shapes, deflections, and stress results.