摘要
为了研究大坝监测资料与结构完整性的关系,利用R/S分析法对实测资料时间序列进行分时段分析,根据计算的分形维数判断坝体结构的损伤程度。实例计算结果表明:大坝结构完整,实测资料的变化规律相似性越高,其分形维数越小;当大坝结构出现损伤,实测资料的变化规律越复杂,其分形维数越大;与传统的仿真模拟相比,R/S分析法更接近大坝实际工作性态,具有很强的适用性。
In order to study the relationship between monitoring data and structural integrity of a dam, R/S analysis was conducted to calculate the fractal dimension of the monitoring data, which were divided into sub-period time series, and the degree of damage to the dam structure was determined. An example shows that, when the dam maintained its structural integrity, the fractal dimension grew smaller as the similarity of the sub-period time series of the monitoring data became greater; when the dam structural damage occurred, the fractal dimension became greater as the variation of the monitoring data grew more complicated. Compared with traditional simulation, the R/S analysis method is more suitable for the actual working behavior of dams and has strong applicability.
出处
《水利水电科技进展》
CSCD
北大核心
2014年第1期65-67,共3页
Advances in Science and Technology of Water Resources
基金
北京中水科水电科技开发有限公司科研专项(JC-13-ZY-16)
关键词
结构损伤
监测资料
分形维数
非线性程度
R
S分析法
structural damage
monitoring data
fractal dimension
nonlinear degree
R/S analysis method
