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A PDOC Method for Topology Optimization Design

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Advanced Intelligent Computing Theories and Applications (ICIC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6215))

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Abstract

Based on optimality criterion method, proportional and differential optimality criterion (PDOC) method is proposed and applied in topology optimization design. Since the phenomenon of low efficiency and overshoot caused by the uncertain deviation, this method introduces the proportional and differential control to improve the iteration operator, and constructs more reasonable iteration formula to accelerate the convergence. A new algorithm is utilized to calculate the density distribution of new material, so the trend of deviation can be predicted and corrected in advance. Finally, experiment results indicate that PDOC method is feasible and efficient.

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Author information

Authors and Affiliations

  1. The State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, P.R. China

    Longbiao Zhao, Haobo Qiu & Liang Gao

  2. China Ship Development and Design Center, Wuhan, P.R. China

    Zhimin Chen

Authors
  1. Longbiao Zhao
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  2. Zhimin Chen
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  3. Haobo Qiu
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  4. Liang Gao
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Editor information

Editors and Affiliations

  1. Intelligent Computing Laboratory, Chinese Academy of Sciences, P.O. Box 1130, 230031, Hefei, Anhui, China

    De-Shuang Huang

  2. Department of Biomedical Informatics, Vanderbilt University Medical Center, 2,525 West End Avenue, Suite 600, 37203, Nashville, TN, USA

    Zhongming Zhao

  3. Electrical and Electronics Department, Polytechnic of Bari, Via Orabona 4, 70125, Bari, Italy

    Vitoantonio Bevilacqua

  4. Faculty of Engineering, District University Francisco José de Caldas, Cra. 7a,No. 40-53, Fifth Floor, Bogotá, Colombia

    Juan Carlos Figueroa

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© 2010 Springer-Verlag Berlin Heidelberg

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Zhao, L., Chen, Z., Qiu, H., Gao, L. (2010). A PDOC Method for Topology Optimization Design. In: Huang, DS., Zhao, Z., Bevilacqua, V., Figueroa, J.C. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2010. Lecture Notes in Computer Science, vol 6215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14922-1_69

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  • DOI: https://doi.org/10.1007/978-3-642-14922-1_69

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14921-4

  • Online ISBN: 978-3-642-14922-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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