摘要
车辆荷载是桥梁上最重要的活荷载,监测、研究车辆荷载对于桥梁的设计、运营、维护以及安全评估都具有非常重要的意义。移动荷载的识别问题已经吸引了国内外的很多研究者,并且已有很多相关文章发表,但对于斜拉桥的荷载识别问题目前研究还很少。本文提出了一种基于斜拉索振动监测的斜拉桥上车辆荷载及其参数识别方法。首先推导了考虑时变索力的斜拉索横向振动的运动方程,并以此为依据,结合斜拉索索力的影响线(可以通过有限元模型计算或现场实验得到)采用扩展卡尔曼滤波方法,提出了已知车辆速度和上桥时间的车重识别方法;同时识别车辆的车速、上桥时间和车重的方法。以南京长江三桥为背景,通过数值仿真验证了所提出方法在一定噪声水平下的有效性。
Vehicle loads are the most important live loads on bridges. To monitor and investigate vehicle loads is essential for design, maintenance, and safety assessment of bridges. Identification of moving loads has attracted many interests, and many reports can be found. However, the identification method for cable-stayed bridge was seldom reported. An approach to identification vehicle loads and their velocities, arrival times and weights is presented for cable-stayed bridge. The equation of out-plane motion of inclined cable is investigated first. Based on the equation of motion, the identification is derived using extended Kalman filter, given the influence line of the stay cable, which can be determined by calculation from FE model or by in-field test. The proposed method can be employed 1 ） to identify the weights of vehicles when their velocities and arrival times are known ; 2） to identify the velocity, arrival time and weight of vehicles. The effectiveness using noisy measurement is verified by numerical test based＇on Nanjing Yangtze River No. 3 Bridge.
出处
《土木工程与管理学报》
2013年第1期1-5,共5页
Journal of Civil Engineering and Management
基金
国家自然科学基金(51161120359)
科技部科技支撑计划(2011BAK02B02)
关键词
车辆荷载识别
斜拉索
斜拉桥
卡尔曼滤波
vehicle load identification
stay cable
cable-stayed bridge
extended Kalman filter
