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运用 DEMATEL-VIKOR 方法进行大坝失事路径识别。

Using the DEMATEL-VIKOR Method in Dam Failure Path Identification.

机构信息

State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China.

National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Hohai University, Nanjing 210098, China.

出版信息

Int J Environ Res Public Health. 2020 Feb 25;17(5):1480. doi: 10.3390/ijerph17051480.

DOI:10.3390/ijerph17051480
PMID:32106529
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7084204/
Abstract

Dams are important water-resisting structures prone to failure, causing huge economic and environmental losses. Traditionally, a dam failure is identified using the failure mode and effect analysis. This approach analyzes both the dam failure path (the specific effect chain of the failure mode) and the damage degree, by identifying and sorting the severity caused by the dam failure path. However, this analysis can be misleading since the relationship among the failure paths is not considered. To account for this, the DEMATEL method is used to modify the evaluation result of the severity of the failure consequence, caused by the dam failure path. Based on the fuzzy mathematics and VIKOR method, a dam failure path identification method is established, and then the dam failure paths are identified and sorted for a case study: gravity dam located at the junction of Yibin County (China). According to results, the two top initial failure paths were insufficient design of upstream anti-seepage (R6) or defective water-tight screen and corrosion (R7).

摘要

水坝是重要的挡水建筑物,容易发生故障,造成巨大的经济和环境损失。传统上,使用失效模式和影响分析来识别大坝失效。该方法分析了大坝失效路径(失效模式的具体影响链)和破坏程度,通过识别和排序由大坝失效路径引起的严重程度。然而,这种分析可能会产生误导,因为没有考虑失效路径之间的关系。为此,使用 DEMATEL 方法来修改由大坝失效路径引起的失效后果严重程度的评估结果。基于模糊数学和 VIKOR 方法,建立了一种大坝失效路径识别方法,然后对一个案例研究中的大坝失效路径进行了识别和排序:位于宜宾县交界处的重力坝(中国)。根据结果,两个最初的顶部失效路径是上游防渗设计不足(R6)或水密屏缺陷和腐蚀(R7)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f2b/7084204/b0ac1237c7fb/ijerph-17-01480-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f2b/7084204/5cd36fbfd6cc/ijerph-17-01480-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f2b/7084204/dafbd64ad09b/ijerph-17-01480-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f2b/7084204/4dd41bd089b7/ijerph-17-01480-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f2b/7084204/1811b5893520/ijerph-17-01480-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f2b/7084204/888154988e5a/ijerph-17-01480-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f2b/7084204/372a77a173ef/ijerph-17-01480-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f2b/7084204/76e5a86f50bc/ijerph-17-01480-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f2b/7084204/ffbf5839a2cd/ijerph-17-01480-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f2b/7084204/a87e239c2544/ijerph-17-01480-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f2b/7084204/633931790827/ijerph-17-01480-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f2b/7084204/b0ac1237c7fb/ijerph-17-01480-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f2b/7084204/5cd36fbfd6cc/ijerph-17-01480-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f2b/7084204/dafbd64ad09b/ijerph-17-01480-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f2b/7084204/4dd41bd089b7/ijerph-17-01480-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f2b/7084204/1811b5893520/ijerph-17-01480-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f2b/7084204/888154988e5a/ijerph-17-01480-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f2b/7084204/372a77a173ef/ijerph-17-01480-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f2b/7084204/76e5a86f50bc/ijerph-17-01480-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f2b/7084204/ffbf5839a2cd/ijerph-17-01480-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f2b/7084204/a87e239c2544/ijerph-17-01480-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f2b/7084204/633931790827/ijerph-17-01480-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f2b/7084204/b0ac1237c7fb/ijerph-17-01480-g011.jpg

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