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云模型在大坝裂缝宽度安全监控指标拟定中应用
引用本文:朱凯,陈晨,袁昊,杨金凯,张凤山.云模型在大坝裂缝宽度安全监控指标拟定中应用[J].三峡大学学报(自然科学版),2012,34(5):10-13.
作者姓名:朱凯  陈晨  袁昊  杨金凯  张凤山
作者单位:河海大学 水文水资源与水利工程科学国家重点实验室,南京 210098;河海大学 水资源高效利用与工程安全国家工程研究中心,南京 210098;河海大学 水利水电学院,南京 210098
基金项目:国家自然科学基金资助项目(51139001,51179066,51071)046,50909041);新世纪优秀人才支持计划资助(NCET-11-0628.NCET-10-0359);河海大学水文水资源与水利]:程科学国家重点实验室专项基金(2009586012,2009586912.2010585212);中央高校基本科研业务费项目(2009808514,2010820414,2010801414,2010BI4114);河海大学巾央高校基本科研业务赘项目(2012800814、2012806614、2012B07214);江苏省“333高层次人才培养工程”(2017B08037);江苏省普通高校研究生科研创新计划(CX09B163Z);江苏高校优势学科建设工程资助项目(水利工程)(YS11001);水利部公益性行、世科研专项经费项目(201201038);中国电力投资集团公司科技项目(2011-042一HHS-KJ-X)
摘    要:混凝土坝坝体裂缝安全监测在大坝安全监控中具有十分重要的地位.传统基于原始监测数据的指标拟定方法如典型小概率法、置信区间法等具有自身的局限性,采用基于概率论与数理统计理论与模糊集合理论交叉融合基础上形成的云模型拟定大坝裂缝宽度安全监控指标,在拟定安全监控指标的同时,也计算出了其代表大坝出现险情的确定度,实现定量-定性-定量的相互转换,可更好地指导工程实践.

关 键 词:混凝土坝  裂缝  云模型  典型小概率法  概率密度函数

Application of Cloud Model to Determining Dam Safety Monitoring Index of Dam Cracks
Zhu Kai , Chen Chen , Yuan Hao , Yang Jinkai , Zhang Fengshan.Application of Cloud Model to Determining Dam Safety Monitoring Index of Dam Cracks[J].Journal of China Three Gorges University(Natural Sciences),2012,34(5):10-13.
Authors:Zhu Kai  Chen Chen  Yuan Hao  Yang Jinkai  Zhang Fengshan
Institution:Zhu Kai Chen Chen Yuan Hao Yang Jinkai Zhang Fengshan (1. State Key I.aboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai Univ. , Nanjing 210098, China; 2. National Engineering Research Center Of Water Resources Efficient Utilization and Engi neering Safety, Hohai Univ. , Nanjing 210098, China; 3. College of Water Conservancy and Hydropower, Hohai Univ., Nanjing 210098, China)
Abstract:The safety-monitoring of cracks on the concrete dam is very important in the concrete dam safety- monitoring, since the cracks are very harmful to the dam. The traditional methods based on original monitoring data such as typical small probability method and confidence interval approach, have their limitations. The article adopts the cloud model based on the combination of probability theory, mathematical statistics and fuzzy set theory into the determination of dam safety-monitoring indices. The method formulates the degree of certainty of whether the dam is in danger at the time of calculating the indices realizing the "Quantitative-Qualitative-Quantitative" transition. The cloud model can be further applied and verified in engineering practices, in the future.
Keywords:concrete dam  crack  cloud model  typical small probability method  probability density function
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