摘要
针对目前桥梁损伤识别理论受到测量误差、环境随机因素与模型误差等影响识别精度低的缺点,利用数理统计与随机分析的基本理论,提出进行混凝土桥梁裂缝等损伤识别的新理论方法;该方法首先寻找监测响应量的主要影响因素作为原因量,其次建立原因量与响应量的统计模型,最后利用预测模型进行判别是否发生损伤;利用该方法可以有效地考虑环境随机因素、测量误差等不确定因数,避免结构分析的计算模型误差,因而可以有效地提高进行损伤识别的精度;两根钢筋混凝土小梁模型试验证实了本理论的正确性。
The methods for bridge damage identification are usually of low precision due to measurement errors, random environmental factors and model errors. Fundamental theories of statistics and random analysis are used to develop a new method that identifies damages such as cracking of concrete bridges. The proposed method firstly identifies the main factors that affect the monitoring response magnitude and regards them as the major cause. A statistical model is then established to relate the magnitudes of response and cause used to predict the health of a structure. Using this method uncertainties such as random environment factors, measurement errors and so on can be effectively considered, and the calculative model error in structure analysis can also be avoided. The precision of damage identification can be effectively improved. Model tests of two concrete beams demonstrate the effectiveness of the proposed model.
出处
《工程力学》
EI
CSCD
北大核心
2006年第A01期128-133,共6页
Engineering Mechanics
关键词
混凝土桥梁
损伤识别
统计模型
随机分析
理论与试验研究
concrete bridge
damage identification
statistical model
random analysis
theoretical and experimental investigations
作者简介
赵启林（1972），男，江苏淮安人，副教授，博士，从事桥梁工程研究（E-mail：zhaohsq1919@163．com）；
李志刚（1972），男，四川崇州人，副教授，博士，从事梁梁工程研究；
陈浩森（1981），男，江苏盐城人，讲师，硕士，从事桥梁工程研究．
