南水北调中线工程渠堤变形安全监控指标研究
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摘要
为研究大型调水工程中渠堤的变形安全,在分析南水北调中线工程典型渠段变形影响因素的基础上,对水压、时效、降雨等因素进行研究,建立相应的渠坡位移统计模型,对边坡实测变形数据进行回归分析,验证统计模型的合理性,采用典型监测效应量的小概率法拟定渠道边坡内部的水平位移等相应测点的变形监控指标。结果显示,拟合值与实际值符合良好,可以作为渠堤的监控指标,为渠堤变形安全监控指标的发展奠定基础。
In order to study the deformation safety of canal embankment in large-scale water diversion project, on the basis of analyzing the influencing factors of typical channel deformation in the middle route of South-to-North Water Transfer Project, the factors of water pressure, aging and rainfall are studied, and the corresponding statistical model of channel slope displacement is established. Regression analysis of the measured deformation data of slope is carried out to verify the rationality of the statistical model. The small probability method of typical monitoring effect is used to determine the deformation monitoring indexes of the corresponding measuring points such as horizontal displacement inside the canal slope. The results show that the fitting value is in good agreement with the actual value, and it can be used as the monitoring index of the canal embankment, which lays a foundation for the development of the monitoring index for the deformation safety of the canal embankment.
In order to study the deformation safety of canal embankment in large-scale water diversion project, on the basis of analyzing the influencing factors of typical channel deformation in the middle route of South-to-North Water Transfer Project, the factors of water pressure, aging and rainfall are studied, and the corresponding statistical model of channel slope displacement is established. Regression analysis of the measured deformation data of slope is carried out to verify the rationality of the statistical model. The small probability method of typical monitoring effect is used to determine the deformation monitoring indexes of the corresponding measuring points such as horizontal displacement inside the canal slope. The results show that the fitting value is in good agreement with the actual value, and it can be used as the monitoring index of the canal embankment, which lays a foundation for the development of the monitoring index for the deformation safety of the canal embankment.
引文
[1]苏怀智,吴中如,戴会超.初探大坝安全智能融合监控体系[J].水力发电学报,2005(1):122-126,52.
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[10]朱凯,秦栋,汪雷,等.云模型在大坝安全监控指标拟定中的应用[J].水电能源科学,2013,31(3):65-68.
[11]孙鹏明,杨建慧,杨启功,等.大坝空间变形监控指标的拟定[J].水利水运工程学报,2016(6):16-22.
[12]聂兵兵,赵二峰,殷详详,等.基于极值理论的大坝变形监控指标拟定[J].水电能源科学,2015,33(12):101-104.
[13]赵鲲鹏,梁嘉琛,仇建春,等.基于EMD滤波和云模型的大坝安全监控指标拟定[J].人民黄河,2015,37(10):120-122,127.
[14]谢珊珊,周衡.基于博弈论的大坝POT预警模型及其应用[J].人民黄河,2016,38(11):1,28-132.
[15]肖磊,万智勇,黄耀英,等.基于最大熵和云模型的RCC坝变形监控指标拟定[J].水利水运工程学报,2018(4):24-29.
[16]吴江鹏,章广成,侯赠.开挖及降雨作用下土质边坡变形破坏机理[J].湖南科技大学学报(自然科学版),2015,30(2):73-79.
[17]陈兰,仲云飞,吴邦彬,等.逐步回归算法在边坡安全监测中的运用[J].长江科学院院报,2013,30(1):21-25.
[18]郑东健,顾冲时,吴中如.边坡变形的多因素时变预测模型[J].岩石力学与工程学报,2005(17):3180-3184.
[19]杨志法,陈剑.关于滑坡预测预报方法的思考[J].工程地质学报,2004(2):118-123.
[20]AYALEW L.The effect of seasonal rainfall on landslides in the highlands of Ethiopia[J].Bulletin of Engineering Geology and the Environment,1999,58:9-19
[21]刘小伟,刘高,谌文武,等.降雨对边坡变形破坏影响的综合分析[J].岩石力学与工程学报,2003(增刊2):2715-2718.
[22]BRAND E W,PREMCHITT J,PHILIPSON H B.Relantionship between rainfall and landslides in Hong Kong[C]//Proceedings of the 4th international symposium on landslides.Toronto:[s.n.],1984:377-384.
[2]苏怀智,吴中如,温志萍,等.基于模糊联想记忆神经网络的大坝安全监控系统建模研究[J].武汉大学学报(工学版),2001(4):21-24.
[3]苏怀智,顾冲时,吴中如.综论人工智能技术在大坝安全监控中的应用[J].大坝观测与土工测试,2000(3):7-9.
[4]顾冲时,汪亚超,彭妍,等.大坝安全监控模型的病态问题及其处理方法[J].中国科学:技术科学,2011,41(12):1574-1579.
[5]顾冲时,王建,郑东健,等.不同监测方法下大坝安全监测资料差异性检验[J].水利学报,2004(4):101-104.
[6]赖道平,顾冲时.Elman回归神经网络在大坝安全监控中的应用[J].河海大学学报(自然科学版),2003(3):255-258.
[7]何鲜峰,郑东健,谷艳昌.大坝安全监测不确定信息分析系统框架[J].水力发电,2007(7):76-79.
[8]何金平,张博,施玉群.大坝安全监测中的几个基本概念问题[J].水电自动化与大坝监测,2009,33(3):51-55.
[9]何金平,施玉群,吴雯娴.大坝安全监测系统综合评价指标体系研究[J].水力发电学报,2011,30(4):175-180.
[10]朱凯,秦栋,汪雷,等.云模型在大坝安全监控指标拟定中的应用[J].水电能源科学,2013,31(3):65-68.
[11]孙鹏明,杨建慧,杨启功,等.大坝空间变形监控指标的拟定[J].水利水运工程学报,2016(6):16-22.
[12]聂兵兵,赵二峰,殷详详,等.基于极值理论的大坝变形监控指标拟定[J].水电能源科学,2015,33(12):101-104.
[13]赵鲲鹏,梁嘉琛,仇建春,等.基于EMD滤波和云模型的大坝安全监控指标拟定[J].人民黄河,2015,37(10):120-122,127.
[14]谢珊珊,周衡.基于博弈论的大坝POT预警模型及其应用[J].人民黄河,2016,38(11):1,28-132.
[15]肖磊,万智勇,黄耀英,等.基于最大熵和云模型的RCC坝变形监控指标拟定[J].水利水运工程学报,2018(4):24-29.
[16]吴江鹏,章广成,侯赠.开挖及降雨作用下土质边坡变形破坏机理[J].湖南科技大学学报(自然科学版),2015,30(2):73-79.
[17]陈兰,仲云飞,吴邦彬,等.逐步回归算法在边坡安全监测中的运用[J].长江科学院院报,2013,30(1):21-25.
[18]郑东健,顾冲时,吴中如.边坡变形的多因素时变预测模型[J].岩石力学与工程学报,2005(17):3180-3184.
[19]杨志法,陈剑.关于滑坡预测预报方法的思考[J].工程地质学报,2004(2):118-123.
[20]AYALEW L.The effect of seasonal rainfall on landslides in the highlands of Ethiopia[J].Bulletin of Engineering Geology and the Environment,1999,58:9-19
[21]刘小伟,刘高,谌文武,等.降雨对边坡变形破坏影响的综合分析[J].岩石力学与工程学报,2003(增刊2):2715-2718.
[22]BRAND E W,PREMCHITT J,PHILIPSON H B.Relantionship between rainfall and landslides in Hong Kong[C]//Proceedings of the 4th international symposium on landslides.Toronto:[s.n.],1984:377-384.