为准确快速地获知通过桥梁的列车荷载大小,将模糊模式识别的方法引入桥梁列车荷载识别问题,将列车荷载识别过程转变为与列车荷载响应标准模式库的模式匹配过程。采用数值分析方法,分别基于桥梁位移、速度和加速度响应对鄱阳湖连续钢桁桥列车荷载进行识别,结果表明利用加速度响应获得的识别结果精度要明显好于采用位移和速度响应获得的识别精度,同时通过对在噪声干扰下列车荷载识别结果的分析,验证论文所述方法对桥上移动列车荷载进行识别的可行性和准确性。
A fuzzy pattern recognition method is presented to realize the accurate and efficient identification of moving train loads according to bridge responses.The moving loads identification process is translated into a procedure of pattern match with those in the load-response pattern library.Numerical simulations based on the responses of displacement, velocity and acceleration are carried out for Poyang Lake continuous steel-truss girder,and the train loads on the bridge are identified.It is shown that the results of identification by using acceleration response have higher accuracy than those obtained by using the others.Through the identification of the train loads with noise disturbance,this method is proved to be feasible and accurate for moving train loads identification.