Reliable Shape Optimization of Structures Subjected to Transient Dynamic Loading Using Genetic Algorithms
This paper presents a reliable method of solution of two dimensional shape optimization problems subjected to transient dynamic loads using Genetic Algorithms. Boundary curves undergoing shape changes have been represented by B-splines. Automatic mesh generation and adaptive finite element analysis...
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Hindawi Limited
2005-01-01
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Series: | Shock and Vibration |
Online Access: | http://dx.doi.org/10.1155/2005/290540 |
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doaj-b3ed4163a4b345e18c2cf35ff867941e2020-11-24T22:43:12ZengHindawi LimitedShock and Vibration1070-96221875-92032005-01-0112640742410.1155/2005/290540Reliable Shape Optimization of Structures Subjected to Transient Dynamic Loading Using Genetic AlgorithmsSabyasachi Chand0Anjan Dutta1Department of Civil Engineering, Indian Institute of Technology, Guwahati, 781039, IndiaDepartment of Civil Engineering, Indian Institute of Technology, Guwahati, 781039, IndiaThis paper presents a reliable method of solution of two dimensional shape optimization problems subjected to transient dynamic loads using Genetic Algorithms. Boundary curves undergoing shape changes have been represented by B-splines. Automatic mesh generation and adaptive finite element analysis modules are integrated with Genetic algorithm code to carry out the shape optimization. Both space and time discretization errors are evaluated and appropriate finite element mesh and time step values as obtained iteratively are adopted for accurate dynamic response. Two demonstration problems have been solved, which show convergence to the optimal solution with number of generations. The boundary curve undergoing shape optimization shows smooth shape changes. The combinations of automatic mesh generator with proper boundary definition capabilities, analysis tool with error estimation and Genetic algorithm as optimization engine have been observed to behave as a satisfactory shape optimization environment to deal with real engineering problems.http://dx.doi.org/10.1155/2005/290540 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sabyasachi Chand Anjan Dutta |
spellingShingle |
Sabyasachi Chand Anjan Dutta Reliable Shape Optimization of Structures Subjected to Transient Dynamic Loading Using Genetic Algorithms Shock and Vibration |
author_facet |
Sabyasachi Chand Anjan Dutta |
author_sort |
Sabyasachi Chand |
title |
Reliable Shape Optimization of Structures Subjected to Transient Dynamic Loading Using Genetic Algorithms |
title_short |
Reliable Shape Optimization of Structures Subjected to Transient Dynamic Loading Using Genetic Algorithms |
title_full |
Reliable Shape Optimization of Structures Subjected to Transient Dynamic Loading Using Genetic Algorithms |
title_fullStr |
Reliable Shape Optimization of Structures Subjected to Transient Dynamic Loading Using Genetic Algorithms |
title_full_unstemmed |
Reliable Shape Optimization of Structures Subjected to Transient Dynamic Loading Using Genetic Algorithms |
title_sort |
reliable shape optimization of structures subjected to transient dynamic loading using genetic algorithms |
publisher |
Hindawi Limited |
series |
Shock and Vibration |
issn |
1070-9622 1875-9203 |
publishDate |
2005-01-01 |
description |
This paper presents a reliable method of solution of two dimensional shape optimization problems subjected to transient dynamic loads using Genetic Algorithms. Boundary curves undergoing shape changes have been represented by B-splines. Automatic mesh generation and adaptive finite element analysis modules are integrated with Genetic algorithm code to carry out the shape optimization. Both space and time discretization errors are evaluated and appropriate finite element mesh and time step values as obtained iteratively are adopted for accurate dynamic response. Two demonstration problems have been solved, which show convergence to the optimal solution with number of generations. The boundary curve undergoing shape optimization shows smooth shape changes. The combinations of automatic mesh generator with proper boundary definition capabilities, analysis tool with error estimation and Genetic algorithm as optimization engine have been observed to behave as a satisfactory shape optimization environment to deal with real engineering problems. |
url |
http://dx.doi.org/10.1155/2005/290540 |
work_keys_str_mv |
AT sabyasachichand reliableshapeoptimizationofstructuressubjectedtotransientdynamicloadingusinggeneticalgorithms AT anjandutta reliableshapeoptimizationofstructuressubjectedtotransientdynamicloadingusinggeneticalgorithms |
_version_ |
1725697010904858624 |