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.
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.
出处
《三峡大学学报（自然科学版）》
CAS
2012年第5期10-13,共4页
Journal of China Three Gorges University：Natural Sciences
基金
国家自然科学基金资助项目(51139001
51179066
51079046
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工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(2009B08514
2010B20414
2010B01414
2010B14114)
河海大学中央高校基本科研业务费项目(2012B00814
2012B06614
2012B07214)
江苏省"333高层次人才培养工程"(2017-B08037)
江苏省普通高校研究生科研创新计划(CX09B_163Z)
江苏高校优势学科建设工程资助项目(水利工程)(YS11001)
水利部公益性行业科研专项经费项目(201201038)
中国电力投资集团公司科技项目(2011-042-HHS-KJ-X)
关键词
混凝土坝
裂缝
云模型
典型小概率法
概率密度函数
concrete dam
crack
cloud model
typical small probability method
probability density function
