A platform for research: civil engineering, architecture and urbanism
Detection vehicle for extracting modal parameters of bridge
The invention belongs to the technical field of bridge detection, and provides a detection vehicle for extracting bridge modal parameters, which comprises a flexible support wheel, a rigid axle, a rigid transmission wheel, a rigid vehicle body, an acceleration sensor, a GNSS (Global Navigation Satellite System) positioning device, a rigid bearing and a rubber cushion block, the rigid bracket and the flexible supporting wheel form a front axle part of the detection vehicle; the rigid transmission wheel and the rigid axle are connected through a rolling bearing and a fixing nut to form a rear axle part of the detection vehicle; the rigid vehicle body is connected with the flexible supporting wheel support, and a rubber cushion block is installed between the flexible supporting wheel support and the rigid vehicle body. The rigid vehicle body is rigidly connected with the rigid axle; the acceleration sensor and the GNSS positioning device are installed at designated positions of the rigid vehicle body. Self-balancing is achieved, and balance can be kept without the help of a traction trailer; the rigidity difference between the front axle and the rear axle is large, so that the accelerometer only receives the response from the rear axle of the vehicle, the response aliasing of the front axle and the rear axle is avoided, and the accuracy of the extracted bridge modal parameters is effectively improved.
本发明属于桥梁检测技术领域,提供了一种提取桥梁模态参数的检测车,包括柔性支撑轮、刚性车轴、刚性传递轮、刚性车身、加速度传感器、GNSS定位装置、刚性轴承和橡胶垫块;刚性支架和柔性支撑轮组成检测车的前轴部分;刚性传递轮和刚性车轴通过滚动轴承和固定螺母连接组成检测车的后轴部分;刚性车身和柔性支撑轮支架连接,并在柔性支撑轮支架与刚性车身之间安装橡胶垫块;刚性车身和刚性车轴实现刚性连接;加速度传感器和GNSS定位装置安装在刚性车身指定位置。本发明实现自平衡,无需借助牵引拖车保持平衡;前后轴刚度差异大,使得加速度计仅接收来自车辆后轴处的响应,避免前轴与后轴响应的混叠,有效提高所提取桥梁模态参数的精度。
Detection vehicle for extracting modal parameters of bridge
The invention belongs to the technical field of bridge detection, and provides a detection vehicle for extracting bridge modal parameters, which comprises a flexible support wheel, a rigid axle, a rigid transmission wheel, a rigid vehicle body, an acceleration sensor, a GNSS (Global Navigation Satellite System) positioning device, a rigid bearing and a rubber cushion block, the rigid bracket and the flexible supporting wheel form a front axle part of the detection vehicle; the rigid transmission wheel and the rigid axle are connected through a rolling bearing and a fixing nut to form a rear axle part of the detection vehicle; the rigid vehicle body is connected with the flexible supporting wheel support, and a rubber cushion block is installed between the flexible supporting wheel support and the rigid vehicle body. The rigid vehicle body is rigidly connected with the rigid axle; the acceleration sensor and the GNSS positioning device are installed at designated positions of the rigid vehicle body. Self-balancing is achieved, and balance can be kept without the help of a traction trailer; the rigidity difference between the front axle and the rear axle is large, so that the accelerometer only receives the response from the rear axle of the vehicle, the response aliasing of the front axle and the rear axle is avoided, and the accuracy of the extracted bridge modal parameters is effectively improved.
本发明属于桥梁检测技术领域,提供了一种提取桥梁模态参数的检测车,包括柔性支撑轮、刚性车轴、刚性传递轮、刚性车身、加速度传感器、GNSS定位装置、刚性轴承和橡胶垫块;刚性支架和柔性支撑轮组成检测车的前轴部分;刚性传递轮和刚性车轴通过滚动轴承和固定螺母连接组成检测车的后轴部分;刚性车身和柔性支撑轮支架连接,并在柔性支撑轮支架与刚性车身之间安装橡胶垫块;刚性车身和刚性车轴实现刚性连接;加速度传感器和GNSS定位装置安装在刚性车身指定位置。本发明实现自平衡,无需借助牵引拖车保持平衡;前后轴刚度差异大,使得加速度计仅接收来自车辆后轴处的响应,避免前轴与后轴响应的混叠,有效提高所提取桥梁模态参数的精度。
Detection vehicle for extracting modal parameters of bridge
一种提取桥梁模态参数的检测车
ITINWA (author) / ZHANG JIAN (author) / QU CHUNXU (author) / LI HONGNAN (author)
2022-07-29
Patent
Electronic Resource
Chinese
IPC:
E01D
BRIDGES
,
Brücken
The bridge and vehicle interaction effects on modal parameters of bridge
British Library Conference Proceedings | 2005
|Numerically Extracting Bridge Modal Properties from Dynamic Responses of Moving Vehicles
Online Contents | 2016
|Numerically Extracting Bridge Modal Properties from Dynamic Responses of Moving Vehicles
Online Contents | 2016
|