Abstract
This paper presents a novel method to carry out monitoring of transport infrastructure such as pavements and bridges through the analysis of vehicle accelerations. An algorithm is developed for the identification of dynamic vehicle-bridge interaction forces using the vehicle response. Moving force identification theory is applied to a vehicle model in order to identify these dynamic forces between the vehicle and the road and/or bridge. A coupled half-car vehicle-bridge interaction model is used in theoretical simulations to test the effectiveness of the approach in identifying the forces. The potential of the method to identify the global bending stiffness of the bridge and to predict the pavement roughness is presented. The method is tested for a range of bridge spans using theoretical simulations and the influences of road roughness and signal noise on the accuracy of the results are investigated.
| Original language | English |
|---|---|
| Pages (from-to) | 821-848 |
| Number of pages | 28 |
| Journal | Smart Structures and Systems |
| Volume | 13 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 25 May 2014 |
Keywords
- Acceleration
- Bridge
- Global stiffness
- Inverse dynamics
- Road profiles
- Vehicle forces
- Vehicle-bridge interaction
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Computer Science Applications