Abstract

Vehicle-bridge interaction is the core for a variety of applications, including vehicle vibration, bridge vibration, bridge structural health monitoring, weight-in-motion, bridge condition inspection, and load rating. These applications give rise to a great interest in pursuing a high-efficiency method that can tackle intensive computation in the context of vehicle-bridge interaction. This paper studies the accuracy and efficiency of discretizing the beam in space as lumped masses using the flexibility method and as finite elements using the stiffness method. Computational complexity analysis is carried out along with a numerical case study to compare the accuracy and efficiency of both methods against the analytical solutions. It is found that both methods result in a similar level of accuracy, but the flexibility method overperforms the stiffness method in terms of computational efficiency. This high efficiency algorithm and corresponding discretization schema are applied to study the dynamics of vehicle-bridge interaction. A system of coupled equations is solved directly for a simply supported single-span bridge and a four-degree-of-freedom vehicle modeling. Pavement roughness significantly influences dynamic load coefficient, suggesting preventative maintenance or timely maintenance of pavement surface on a bridge, to reduce pavement roughness, is of significant importance for bridge’s longevity and life-cycle cost benefit. For class A and B level pavement roughness, the dynamic load coefficient is simulated within 2.0, compatible with specifications of AASHTO standard, Australian standard, and Switzerland standard. However, the Chinese code underestimates the dynamic load coefficient for a bridge with a fundamental frequency of around 4 Hz. The proposed method is applicable to different types of bridges as well as train-bridge interaction.

Highlights

  • Vehicle-bridge interaction is the key to obtaining the interaction force between the tire and pavement

  • In finite element method (FEM), a bridge is typically discretized as finite elements and solved by the stiffness method [2, 4, 41, 73, 76,77,78,79,80,81,82,83,84]

  • They concluded that an acceptable level of accuracy could be achieved when the number of elements in discretization for dynamic analysis should be 16 and be at least two to eight times greater than that used in static analysis

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Summary

Introduction

Vehicle-bridge interaction is the key to obtaining the interaction force between the tire and pavement. Rieker et al studied the influence of discretization of beams on the dynamic response of elastic beams under moving load [1] They concluded that an acceptable level of accuracy (i.e., relative error within 1%) could be achieved when the number of elements in discretization for dynamic analysis should be 16 and be at least two to eight times greater than that used in static analysis. Based on the new finding of the advantage embedded in discretizing the beam in space as lumped masses using the flexibility method, this study develops a high efficiency method for solving the coupled dynamics of vehicle-bridge interaction using a 4-DOF vehicle model, a supported single-span bridge model and ISO pavement roughness model. This study reveals that pavement roughness significantly influences dynamic load coefficient (DLC) and Chinese code [85] underestimates the DLC for a bridge with fundamental frequency around 4 Hz, suggesting the importance of preventative and timely maintenance of the pavement surface on a bridge to reduce pavement unevenness for bridge’s longevity and life cycle cost benefit

Equation of Beam Motion
Discretization of Beam as Lumped Masses
Performance Comparison
Vehicle Model
Pavement Roughness Model
10. Equation of Motion of Vehicle-Bridge Interaction System
Findings
11. Case Study
Full Text
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