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Optimization Analysis of a Spherical Shell of Schwedler Based on a Parameter Fuzzy Evaluation

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Fuzzy Information and Engineering 2010

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 78))

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Abstract

Considering the ambiguity of the boundary constraints, this essay establishes a fuzzy optimal design model about reticulated domes of Schwedler, and carries on a fuzzy processing for the design variables, the objective functions and constraints in the fuzzy optimization mode. In terms of Schwedler Spherical shell structures’ characteristic, this essay uses the fuzzy optimization method to determine the boundary constraints tolerance factor. Boundary search method is used for solving optimal level set λ *. Then the optimal solution of fuzzy optimization problems is obtained, and which is compared with the deterministic optimal design. Therefore, the trend of two kinds of optimization design variables has been obtained. The simulation results show that the objective function values have decreased substantially than the deterministic optimal design values. Consequently, the feasibility and correctness of the optimization design have been proved about considering the fuzzy factor.

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Author information

Authors and Affiliations

  1. Institute of Graduate, Liaoning Technical University, Fuxin, China, 123000

    Zhixiang Yin & Cuijiao Kang

Authors
  1. Zhixiang Yin
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  2. Cuijiao Kang
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Editor information

Editors and Affiliations

  1. School of Mathematics and Information Science Guangzhou Higher Education Mega Center , Guangzhou University, 230Wai Huan Xi Road, ZIP 510006, Guangdong, China

    Bing-yuan Cao

  2. Shaanxi Normal University, China

    Guo-jun Wang

  3. Institute of Mathematics and Systems Science, Liaoning Technical University , 123000, China

    Si-zong Guo

  4. School of Science, Jimei University , 361021, Xiamen, Fujian, China

    Shui-li Chen

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© 2010 Springer-Verlag Berlin Heidelberg

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Yin, Z., Kang, C. (2010). Optimization Analysis of a Spherical Shell of Schwedler Based on a Parameter Fuzzy Evaluation. In: Cao, By., Wang, Gj., Guo, Sz., Chen, Sl. (eds) Fuzzy Information and Engineering 2010. Advances in Intelligent and Soft Computing, vol 78. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14880-4_51

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  • DOI: https://doi.org/10.1007/978-3-642-14880-4_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14879-8

  • Online ISBN: 978-3-642-14880-4

  • eBook Packages: EngineeringEngineering (R0)

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