论文标题
应用粒子群优化方法在进行的监测中用于估计车桥相互作用系统
Application of Particle Swarm Optimization method to On-going Monitoring for estimating vehicle-bridge interaction system
论文作者
论文摘要
这项研究提出了一种仅使用车辆振动和位置数据来估算车辆和桥梁的机械参数以及道路不平衡的方法。在提出的方法中，使用随机假定的车辆和桥接参数估算车辆输入和桥梁振动。然后，可以通过车辆输入和桥梁振动确定前轮和后轮的道路轮廓。两个道路剖面之间的差异被用作目标函数，因为它们在同步时应重合。使用粒子群优化（PSO）方法，可以通过更新参数以最小化目标函数来估算车辆和桥接参数以及道路不平等性。数值实验还验证了该方法的适用性。在数值实验中，确认所提出的方法可以以合理的精度估算车辆的重量，但是其他参数的准确性还不够。将来有必要提高所提出方法的准确性。
This study proposes a method for estimating the mechanical parameters of vehicles and bridges and the road unevenness, using only vehicle vibration and position data. In the proposed method, vehicle input and bridge vibration are estimated using randomly assumed vehicle and bridge parameters. Then, the road profiles at the front and rear wheels can be determined from the vehicle input and bridge vibration. The difference between the two road profiles is used as the objective function because they are expected to coincide when synchronized. Using the particle swarm optimization (PSO) method, the vehicle and bridge parameters and the road unevenness can be estimated by updating the parameters to minimize the objective function. Numerical experiments also verify the applicability of this method. In the numerical experiments, it is confirmed that the proposed method can estimate the vehicle weight with reasonable accuracy, but the accuracy of other parameters is not sufficient. It is necessary to improve the accuracy of the proposed method in the future.
