Literature DB >> 33546410

Sizing and Topology Optimization of Trusses Using Genetic Algorithm.

Ingrid Delyová1, Peter Frankovský1, Jozef Bocko1, Peter Trebuňa2, Jozef Živčák3, Barbara Schürger1, Sára Janigová1.   

Abstract

Genetic algorithms are a robust method for a solution of wide variety optimization problems. It explores a big space of design variables in order to find the best solution. From the point of view of a user, the algorithm requires the encoding of design variables into the form of strings and the procedure of optimization uses them for optimization. Here, for the structural engineer, it is crucial to find the form of objective function including the constraints of the task and also to avoid critical states during the solution of structural responses. This paper presents the use of genetic algorithm for solving truss structures. The use of genetic algorithm approach is shown on three cases of truss structures.

Entities:  

Keywords:  FEM; bar; genetic algorithm; optimization; truss structure

Year:  2021        PMID: 33546410      PMCID: PMC7913488          DOI: 10.3390/ma14040715

Source DB:  PubMed          Journal:  Materials (Basel)        ISSN: 1996-1944            Impact factor:   3.623


  1 in total

1.  Experimental Assessment of Time-Limited Operation and Rectification of a Bridge Crane.

Authors:  Peter Frankovský; Ingrid Delyová; Peter Sivák; Piotr Kurylo; Elena Pivarčiová; Vojtech Neumann
Journal:  Materials (Basel)       Date:  2020-06-14       Impact factor: 3.623

  1 in total

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