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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chundong Jiang Haipeng Jia |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Electricity & Autom., Hebei Univ. of Technol., Tianjin (Chundong Jiang) |
| Abstract | This paper gives a new evolutionary algorithm for structure topology optimization. It combines the merits of level set method (LSM) and evolutionary structure optimization (ESO) for structure topology optimization. The traditional LSM algorithm has some drawbacks, for instance, its optimal topology configuration is largely dependent on the initial configuration of the structure. Additionally, new holes cannot be inserted into the updated topology during the optimization iteration. The method proposed in this paper combines the merits of ESO techniques with the LSM scheme, allowing new holes to be automatically inserted in regions with low deformation energy at prescribed iterations of the optimization. For complex structures in which holes cannot be properly inserted in advance, the proposed method considerably improves the ability of LSM to find the optimal topology. In addition to achieving more accurate results, the proposed method also yields higher efficiency during optimization. The validity and robustness of the new algorithm are supported with illustrative examples |
| Starting Page | 897 |
| Ending Page | 902 |
| File Size | 596153 |
| Page Count | 6 |
| File Format | |
| ISBN | 0769525288 |
| DOI | 10.1109/ISDA.2006.143 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-10-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Shape Network topology Level set Optimization methods Evolutionary computation Robustness Capacitive sensors Intelligent structures Thermal stresses Machine intelligence |
| Content Type | Text |
| Resource Type | Article |
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