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Optimal topology design of industrial structures using an evolutionary algorithm
| Content Provider | Semantic Scholar |
|---|---|
| Author | Jones, Rhys |
| Copyright Year | 2011 |
| Abstract | The paper demonstrates the application of a modified Evolutionary Structural Optimisation (ESO) algorithm for optimal design of topologies for complex structures. A new approach for adaptively controlling the material elimination and a 'gauss point average stress' is used as the ESO criterion in order to reduce the generation of checkerboard patterns in the resultant optimal topologies. Also, a convergence criterion is used to examine the uniformity of strength throughout a structure. The ESO algorithm is validated by comparing the ESO based solution with the result obtained using another numerical optimisation method (SIMP).The capabilities of ESO for producing an optimal design against a specified strength constraint are illustrated using two industrial design problems, viz: a bulkhead used in an aircraft structure and a sideframe used in a railway freight wagon. It has been shown that topology optimisation using ESO can result in a considerable reduction in the weight of a structure and an optimum material utilisation by generating a uniformly stressed structure. The ESO algorithm was also applied to the shape optimisation of a local geometry of the sideframe to (locally) reduce stress levels. The paper evaluates and establishes the ESO method as a practical tool for optimum topology and subsequent shape design problems for complex industrial structures. |
| Starting Page | 681 |
| Ending Page | 717 |
| Page Count | 37 |
| File Format | PDF HTM / HTML |
| DOI | 10.1007/s11081-010-9132-0 |
| Volume Number | 12 |
| Alternate Webpage(s) | https://page-one.springer.com/pdf/preview/10.1007/s11081-010-9132-0 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
