摘要
针对监测数据中异常因素所引起的响应,提出了基于统计过程控制的古建筑木结构应变监测数据异常变化的诊断方法。以某藏式古建筑木结构监测数据为对象,建立了应变增量与温度增量、时间效应的多元滞后回归模型,进而消除温度增量和时间效应对响应的影响,采用季节乘积ARIMA-GARCH模型对序列中显著存在的自相关性、周期性和异方差性进行控制,最后采用均值-移动极差控制图、EWMA控制图和EWRMS控制图对异常进行诊断。分析结果表明,异常诊断结果具有较高的可靠性,通过游客数量与异常结果的对比,说明游客数量对于结构的稳定存在不可忽略的影响,此结果可为游客数量的控制提供参考。
Due to the responses caused by the abnormal factors in monitoring data,the present study develops the diagnosis method for abnormal change of strain data of the ancient wood structure based on statistical process control.The monitoring data of an ancient Tibetan wood structure is used to establish the multiple linear regression model between the structure strain and the temperature or time,thus eliminating the temperature and time effects in structure strain.Then the estimation of multiplicative seasonal ARIMA-GARCH model is adopted to take control of the autocorrelation,periodicity and heteroscedasticity in the data.Finally,the Individual-Moving Range control chart,EWMA control chart and EWRMS control chart are used to diagnose the abnormal events.The analysis results indicate the high reliability of the method.Through the comparison of the number of tourists and the number of abnormalities,it shows that the number of tourists has nonnegligible influence on the stability of the structure,which can provide a reference for the control of the number of the tourists.
作者
杨娜
代丹阳
秦术杰
YANG Na;DAI Dan-yang;QIN Shu-jie(Sclool of Civil Engineering,Beijing Jiaotong University,Beijing 100044,China)
出处
《振动工程学报》
EI
CSCD
北大核心
2019年第1期64-71,共8页
Journal of Vibration Engineering
基金
国家自然科学基金优秀青年基金资助项目(51422801)
国家自然科学基金重点项目(51338001)
北京市自然科学基金重点项目(8151003)
高等学校学科创新引智计划(B13002)
关键词
古建筑木结构
结构健康监测
统计过程控制
统计模型
控制图
ancient wood building
structural health monitoring
statistical process control
statistical model
control chart
