基于组合赋权-TOPSIS土石坝渗流安全等级评价
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摘要
根据资料收集选取土石坝渗流量、渗透坡降等8个定量因素作为土石坝渗流风险评价的指标,使用粗糙集改进层次分析法组合赋权的方法获取各评价指标客观权重.建立组合赋权-TOPSIS评价方法,对6个土石坝进行渗流风险评价预测,获取土石坝渗流安全风险等级.与现场调查情况相比结果一致.研究表明:该方法对土石坝渗流风险评价准确便捷,可用于快速评价土石坝渗流风险等级.
According to the data collection,8 quantitative factors,such as seepage flow and seepage slope gradient,are selected as the indexes of seepage risk assessment of earth-rock dam,and the objective weights of each index are obtained by the combination of rough set and improved analytic hierarchy process. Combination weighting-TOPSIS evaluation method is established to evaluate and predict seepage risk of six earth-rock dams and obtain seepage safety risk grade of earth-rock dams. The result is consistent with the field investigation. The results show that the method is accurate and convenient for the risk assessment of earth-rock dam seepage,and can be used to evaluate quickly the seepage stability of earth-rock dam.
According to the data collection,8 quantitative factors,such as seepage flow and seepage slope gradient,are selected as the indexes of seepage risk assessment of earth-rock dam,and the objective weights of each index are obtained by the combination of rough set and improved analytic hierarchy process. Combination weighting-TOPSIS evaluation method is established to evaluate and predict seepage risk of six earth-rock dams and obtain seepage safety risk grade of earth-rock dams. The result is consistent with the field investigation. The results show that the method is accurate and convenient for the risk assessment of earth-rock dam seepage,and can be used to evaluate quickly the seepage stability of earth-rock dam.
引文
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[2]雷鹏,陈晓伟,张贵金,等.基于LHS-MC的堤防渗透破坏风险分析[J].人民黄河,2014,36(10):45~47.
[3]李宗坤,韩瑞芳,刘文立.土石坝渗透破坏模糊风险分析[J].大坝与安全,2007(01):17~20.
[4]魏晶晶,李连侠,廖华胜,等.格子玻尔兹曼方法在土石坝渗流计算中的应用[J].中国农村水利水电,2017(10):98~103.
[5]倪沙沙.降雨入渗对土石坝渗流场及坝坡稳定性的影响[J].水电能源科学,2016,34(02):49~52+40.
[6]廖井霞.基于事件树和贝叶斯网络法的土石坝风险评价研究[D].中国水利水电科学研究院,2013.
[7]何亚辉,赵明阶,汪魁,等.基于云模型的土石坝渗流安全风险模糊综合评价[J].水电能源科学,2018,36(03):83~86.
[8]何金平,高全,施玉群.基于云模型的大坝安全多层次综合评价方法[J].系统工程理论与实践,2016,36(11):2977~2983.
[9]SAATY T L.Applications of analytical hierarchies[J].Mathematics and Computers in Simulation,1979,21(1):1~20.
[10]PAWLAK Z.Rough classification[J].International Journal of Man-machine Studies,1984,20(5):469~483.