Abstract

The current volume of freight traffic has increased significantly during the past decades, impacted by the fast development of the national transportation market. As a result, the phenomena of truck overloading and traffic congestion emerge, which have resulted in numerous bridge collapse events or damage due to truck overloading. Thus, it is an urgent task to evaluate bridge safety under actual traffic loads. This study evaluated probabilistic dynamic load effects on rigid-frame bridges under highway traffic monitoring loads. The site-specific traffic monitoring data of a highway in China were utilized to establish stochastic traffic models. The dynamic effect was considered in a vehicle-bridge coupled vibration model, and the probability estimation was conducted based on the first-passage criterion of the girder deflection. The prototype bridge is a continuous rigid-frame bridge with a midspan length of 200 m and a pier height of 182 m. It is demonstrated that the dynamic traffic load effect follows Gaussian distribution, which can be treated as a stationary random process. The mean value and standard deviation of the deflections are 0.071 m and 0.088 m, respectively. The dynamic reliability index for the first passage of girder deflection is 6.45 for the current traffic condition. However, the reliability index decreases to 5.60 in the bridge lifetime, accounting for an average traffic volume growth ratio of 3.6%.

Highlights

  • In the design phase of a bridge, the structural safety is usually evaluated considering design traffic loads, which were formulated according to large traffic monitoring data during the past decades [1, 2]

  • Li et al [14] investigated the safety of suspenders of Tsing Ma Bridge under traffic loads there are relatively few studies on probabilistic dynamic traffic load effects on long-span continuous rigid-frame bridges. e unique feature for the continuous rigid-frame bridge is the high-rise piers, which are usually space-flexible, affecting the dynamic behaviour of the bridge. us, the probabilistic dynamic traffic load effects on continuous rigid-frame bridges deserve more investigation

  • Is study evaluated probabilistic dynamic traffic load effects on rigid-frame bridges under highway traffic monitoring loads. e site-specific traffic monitoring data were utilized to establish stochastic traffic models. e dynamic effect was considered in a vehicle-bridge coupled vibration model, and the probability estimation was conducted based on the first-passage criterion of the girder deflection. e prototype bridge is a continuous rigid-frame bridge with mid-span length of 200 m and pier height of 182 m

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Summary

Introduction

In the design phase of a bridge, the structural safety is usually evaluated considering design traffic loads, which were formulated according to large traffic monitoring data during the past decades [1, 2]. Shock and Vibration and Chen [8] investigated probabilistic characteristics of the dynamic response of a cable-stayed bridge under wind load and stochastic vehicle load. Lu et al [11] investigated the first-passage probability of a cable-stayed bridge under stochastic vehicle loads. Li et al [14] investigated the safety of suspenders of Tsing Ma Bridge under traffic loads there are relatively few studies on probabilistic dynamic traffic load effects on long-span continuous rigid-frame bridges. Us, the probabilistic dynamic traffic load effects on continuous rigid-frame bridges deserve more investigation. Is study evaluated probabilistic dynamic traffic load effects on rigid-frame bridges under highway traffic monitoring loads. E dynamic effect was considered in a vehicle-bridge coupled vibration model, and the probability estimation was conducted based on the first-passage criterion of the girder deflection. Parametric studies were conducted, accounting for the road roughness condition, the bridge span length, and the traffic growth ratio

Theoretical Basis of Probabilistic TrafficBridge Interaction Analysis
Stochastic Vehicle Flow Simulation Based on WIM Data
Case Study
Findings
30 Arrival
Full Text
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