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Preliminary Study on Optimum Design of Tower Crane Boom Based on Structural Bionics

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International Conference on Applications and Techniques in Cyber Intelligence ATCI 2019 (ATCI 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1017))

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Abstract

With the rapid development of heavy machinery manufacturing industry, the academic circles pay more and more attention to this field. Tower crane structure optimization is the specific content of this concern. Based on this, this paper discusses in detail the establishment and analysis of finite element model of tower crane boom, the bionic optimization design of boom, the finite element analysis of bionic boom and the comparison of results.

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Acknowledgments

The work was supported by the Hechi University Foundation (XJ2016ZD004), Guangxi teacher Capability enhancement project (2018KY0495), Hechi university Youth teacher Foundation (XJ2017QN08) and was supported by the Projection of Master Foundation (2017HJA001, 2018LG004).

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Authors and Affiliations

  1. School of Physics and Mechanical and Electrical Engineering, Hechi University, Yizhou, 546300, Guangxi, People’s Republic of China

    Bo Wang

Authors
  1. Bo Wang
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Corresponding author

Correspondence to Bo Wang .

Editor information

Editors and Affiliations

  1. Faculty of Science, Deakin University, Geelong, VIC, Australia

    Jemal H. Abawajy

  2. Department of Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, TX, USA

    Kim-Kwang Raymond Choo

  3. School of Computing and Mathematics, Charles Sturt University, Albury, NSW, Australia

    Rafiqul Islam

  4. Shanghai University, Shanghai, China

    Zheng Xu

  5. School of Computer Science, University of Oklahoma, Norman, OK, USA

    Mohammed Atiquzzaman

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Wang, B. (2020). Preliminary Study on Optimum Design of Tower Crane Boom Based on Structural Bionics. In: Abawajy, J., Choo, KK., Islam, R., Xu, Z., Atiquzzaman, M. (eds) International Conference on Applications and Techniques in Cyber Intelligence ATCI 2019. ATCI 2019. Advances in Intelligent Systems and Computing, vol 1017. Springer, Cham. https://doi.org/10.1007/978-3-030-25128-4_187

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