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Volume 42 Issue S2
Dec.  2021
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Jiang Shenghan, Fan Kai, Wang Yongchao, Wang Shuai, Zhang Kun. Application Study of Cloud Computing in Stress Analysis and Optimization Design of Nuclear Pipe[J]. Nuclear Power Engineering, 2021, 42(S2): 150-153. doi: 10.13832/j.jnpe.2021.S2.0150
Citation: Jiang Shenghan, Fan Kai, Wang Yongchao, Wang Shuai, Zhang Kun. Application Study of Cloud Computing in Stress Analysis and Optimization Design of Nuclear Pipe[J]. Nuclear Power Engineering, 2021, 42(S2): 150-153. doi: 10.13832/j.jnpe.2021.S2.0150

Application Study of Cloud Computing in Stress Analysis and Optimization Design of Nuclear Pipe

doi: 10.13832/j.jnpe.2021.S2.0150
  • Received Date: 2021-07-19
  • Accepted Date: 2021-12-06
  • Rev Recd Date: 2021-09-28
  • Publish Date: 2021-12-29
  • In order to solve the problem that it is difficult to obtain the optimal solution in the stress calculation of nuclear pipe, this research combines cloud computing with pipe stress analysis progress, and develops the preprocessing method of nuclear pipe by setting the limiting conditions, the pipe stress analysis flow of cloud computing pre-processing was put forward. Meanwhile, the stress qualification model was established by support vector machine to save computing time based on feature analysis and data modeling. A calculating example of minimizing the number of spring supports and hangers and reasonable positioning of the supports and hangers for nuclear pipe shows that this method can efficiently and rapidly solve the optimal solution of stress analysis for nuclear pipe under given conditions.

     

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