摘要
根据长期监测数据建立混凝土桥梁的监控模型,将监测效应量分解为车辆荷载分量、温度荷载分量以及时效分量,通过绘制各分量趋势线以定性分析和评价桥梁的健康状况,将实测值和模型的拟合值进行拟合优度检验进而确定模型精度,该方法在海儿洼大桥工程中进行了实例应用。结果表明:分离出监测效应量的显著影响因子,利用显著影响因子变化趋势能够直观反映出桥梁劣化和健康状况,就可以准确评价桥梁健康状态并找到影响桥梁健康因素的根源所在。
The bridge monitoring and warning model was established based on long-term monitoring data.The monitor.ing effect was decomposed into vehicle load component,temperature effect component and aging component.To analyze and evaluate the health status of Bridges,each component trend line was drawn.The measured value and model fitting values were compared to determine the model accuracy.The method was applied in the project of Hai'erwa Bridge.The results show that the change trend of the significant influence factors separating from monitoring effect quantity can di.rectly reflect the deterioration and health status of the bridge to help people accurately evaluate the health status of the bridge and find the root causes of health factors affecting the bridge.
作者
刘平
张晓伟
郭海燕
马泽铭
LIU Ping;ZHANG Xiaowei;GUO Haiyan;MA Zeming(School of Civil Engineering and Transport, Hebei University of Technology, Tianjin 300401, China;Civil Engineering Technology Research Center of Hebei Province, Tianjin 300401, China;XingFen-Highway management office of Heibei Province, Xingtai, Hebei 054000, China)
出处
《河北工业大学学报》
CAS
2019年第1期63-66,共4页
Journal of Hebei University of Technology
基金
天津市自然科学基金(12JCYBJC14100)
河北省交通运输厅科技计划(Y-2012041
Y-2011052)
河北省高等学校科学技术研究重点项目(ZD2010123)
关键词
混凝土桥梁
监控模型
车辆荷载分量
温度荷载分量
时效分量
concrete bridge
monitor early warning model
vehicle load component
temperature component
time de.pendent component