Volume 49 Issue 4
Apr.  2023
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CHEN Y,ZHOU Z J,WANG J,et al. Structural safety assessment model of large liquid tanks considering environmental disturbance[J]. Journal of Beijing University of Aeronautics and Astronautics,2023,49(4):981-989 (in Chinese) doi: 10.13700/j.bh.1001-5965.2021.0350
Citation: CHEN Y,ZHOU Z J,WANG J,et al. Structural safety assessment model of large liquid tanks considering environmental disturbance[J]. Journal of Beijing University of Aeronautics and Astronautics,2023,49(4):981-989 (in Chinese) doi: 10.13700/j.bh.1001-5965.2021.0350

Structural safety assessment model of large liquid tanks considering environmental disturbance

doi: 10.13700/j.bh.1001-5965.2021.0350
Funds:  National Natural Science Foundation of China (61833016); Shaanxi Provincial Seience Foundation for Outstanding Young Scholars (2020JC-34); Key Research and Development Project of Hainan Province (ZDYF2019007)
More Information
  • Corresponding author: E-mail:zhouzj04@tsinghua.org.cn
  • Received Date: 25 Jun 2021
  • Accepted Date: 17 Sep 2021
  • Available Online: 02 Jun 2023
  • Publish Date: 11 Oct 2021
  • To solve the problems of lack of prior information and incomplete reliability of monitoring data in structural safety assessment of large liquid tanks (LLT), a structural safety assessment model of large liquid tanks considering environmental disturbance is proposed based on the belief rule base (BRB) and finite element method (FEM). First, the FEM estimates the basic parameters of the proposed model using industry standards and subject-matter knowledge. Secondly, the index credibility is calculated based on the information consistency method to reflect the influence of disturbance factors on the monitoring data in actual engineering. Then, a new fusion method can be used to integrate the index credibility into the model reasoning process to complete the construction of the proposed model. Finally, a 100,000 m3 oil storage tank is selected as the research object to verify the effectiveness of the proposed model. The results show that the proposed model can not only effectively deal with the problem of unreliable monitoring data, but also take into account the internal structure mechanism of large liquid tanks, thereby minimizing the negative effects of a lack of prior knowledge on the accuracy of the assessment.

     

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