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Safety assessment for seawall based on constrained maximum entropy projection pursuit model

Author

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  • Zhuguang Lan

    (Hefei University of Technology)

  • Ming Huang

    (Hefei University of Technology
    Ministry of Education)

Abstract

The safety of seawalls is crucial. A scientific and effective safety evaluation method for seawalls is an important measure to protect seawall safety. Based on the monitoring information, seepage pressure, tide level, and rainfall were taken as the safety assessment indexes of seawalls. The projection pursuit model was improved by taking the primary and secondary relations of the assessment indexes known in the professional field as constraints. The water cycle algorithm was used to solve the projection vector, and the weights of the safety assessment indexes of the seawalls were calculated using the improved projection pursuit model. The safety assessment method of seawalls was established by Fuzzy Theory. A method where the maximum membership degree principle was replaced by the comprehensive safety grade value was put forward to determine the seawall safety grade. The analysis of examples showed that the seawall safety assessment results of the constrained maximum entropy projection pursuit model conformed to the objective reality, and were more scientific and reasonable than the maximum entropy projection pursuit model and the analytical hierarchy process model.

Suggested Citation

  • Zhuguang Lan & Ming Huang, 2018. "Safety assessment for seawall based on constrained maximum entropy projection pursuit model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 91(3), pages 1165-1178, April.
    • Handle: RePEc:spr:nathaz:v:91:y:2018:i:3:d:10.1007_s11069-018-3172-8
    DOI: 10.1007/s11069-018-3172-8
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    References listed on IDEAS

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    Cited by:

    1. Gao, Guibing & Wang, Junshen & Yue, Wenhui & Ou, Wenchu, 2020. "Structural-vulnerability assessment of reconfigurable manufacturing system based on universal generating function," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    2. Sen Zheng & Chongshi Gu & Chenfei Shao & Yating Hu & Yanxin Xu & Xiaoyu Huang, 2023. "A Novel Prediction Model for Seawall Deformation Based on CPSO-WNN-LSTM," Mathematics, MDPI, vol. 11(17), pages 1-22, August.
    3. Mengdie Zhao & Chao Zhang & Shoukai Chen & Haifeng Jiang, 2022. "Safety Assessment of Channel Seepage by Using Monitoring Data and Detection Information," Sustainability, MDPI, vol. 14(14), pages 1-21, July.
    4. Genbao Liu & Tengfei Zhao & Hong Yan & Han Wu & Fuming Wang, 2022. "Evaluation of Urban Green Building Design Schemes to Achieve Sustainability Based on the Projection Pursuit Model Optimized by the Atomic Orbital Search," Sustainability, MDPI, vol. 14(17), pages 1-23, September.

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