JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI ›› 2019, Vol. 36 ›› Issue (8): 61-66,80.DOI: 10.11988/ckyyb.20180121

• ENGINEERING SAFETY AND DISASTER PREVENTION • Previous Articles     Next Articles

A Cloud-model-based Approach for Comprehensive Evaluation of Reinforcement Effect of Dangerous Sluices

WANG Shao-wei1,2, ZHENG Chun-feng3, SU Huai-zhi2, FU Qi-min1   

  1. 1.School of Environmental and Safety Engineering, Changzhou University, Changzhou 213164, China;
    2.State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China;
    3.Suzhou Administration Bureau of Taihu Lake Basin Authority, Suzhou 215011, China
  • Received:2018-02-01 Revised:2018-03-23 Online:2019-08-01 Published:2019-08-15

Abstract: Reinforcement effect evaluation for dangerous sluices is a complicated system, in which the evaluation index information, index weight and evaluation set are all fuzzy and uncertain. In view of this, according to the Administrative measures for the post evaluation of reinforcement projects by the central government, a comprehensive evaluation index system, which consists of five first-level indexes and 21 second-level indexes, is established for the reinforcement effect of dangerous sluices, and the grading standards under the hundred percentage point system is determined. Furthermore, cloud models for index weight, evaluation set and the representation of evaluation information are established, and the numerical characteristics of such cloud models are used to quantify the propagation of uncertainty in the evaluation process and the credibility and stability of evaluation results. The reinforcement project of Taipu sluice is studied as an example. Research results show that the uncertainty of index weight has great influence on evaluation results, and the proposed method is effective and can be used for similar projects. The reinforcement effect of Taipu sluice can be determined as “supreme” level, which accords with the actual situation.

Key words: dangerous sluices, reinforcement effect, comprehensive evaluation, cloud model, uncertainty

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