Integrated risk evaluation of large river-crossing buildings in the Middle of the South-to-North Water Diversion Project

被引：0
|
作者：
Han X. [1 ]
An X. [1 ]
Liu C. [2 ]
机构：
[1] State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing
[2] Research Center for Sustainable Hydropower Development, China Institute of Water Resources and Hydropower Research, Beijing
来源：
Qinghua Daxue Xuebao/Journal of Tsinghua University | 2018年 / 58卷 / 07期
关键词：
Dynamic risk; Neural network; Risk identification; Risk index; River-crossing construction;
D O I：
10.16511/j.cnki.qhdxxb.2018.25.030
中图分类号：
学科分类号：
摘要：
An integrated static and dynamic risk evaluation system was developed to classify the potential risks of large river-crossing buildings over the South-to-North Water Diversion Project. The system constructs an index based on design and construction quality information, the characteristics of different types of buildings and external conditions including the hydrology and geology. The static risk is given by a neural network model while the dynamic risk is related to flood, freezing, flushing and tensile stress conditions. The integrated risk index compares well with results in the literature with good results given in a case study. © 2018, Tsinghua University Press. All right reserved.
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页码：639 / 649
页数：10
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