Abstract

The effects of traffic loads on existing bridges are quite different from those of design live loads because of the various traffic environments. However, the bridge maintenance and safety assessment of in-service bridges maintain the design load capacity without considering the current traffic environment. The real traffic conditions on existing bridges may require a load capacity that is considerably different from the design. Therefore, the required load capacity of an existing highway bridge should be determined according to the extreme load effects that the bridge will experience from the actual traffic environment during its remaining service life for more rational maintenance of the infrastructure. A simulation process was developed to determine evaluation vehicle loads for bridge safety assessment based on the extreme load effects that may occur during the remaining service life. Realistic probabilistic traffic models were used to reflect the actual traffic environment. The presented model was used to analyze the extreme load effect on pre-stressed concrete (PSC) and steel box girder bridges, which are typical bridge types. The traffic environmental conditions included the traffic volume (2000–40,000), the proportion of heavy vehicles (15–45%), and the consecutive vehicle traveling patterns. The spans of the sample bridges were 30 m (PSC bridge) and 45 or 60 m (steel box girder bridge). In the results, the extreme load effects tended to increase with either the traffic volume or proportion of heavy vehicles. The evaluation vehicle loads for bridge safety assessment may be adjusted with the traffic conditions, such as the traffic volume, the proportion of heavy vehicles, and the consecutive vehicle traveling patterns.

Highlights

  • Current bridge design is based on conservative assumptions regarding the intensity of applied loads and the structural response of a bridge to these loads

  • Instead of all of the traffic over a bridge being considered, the computational simulations in this study were performed with a unit traffic volume, and the extreme load effect was analyzed by using an extreme value distribution

  • The girder type, vehicle type, vehicle weight, and consecutive vehicle characteristics were analyzed by collecting data on vehicle loads and traffic characteristics for national highways, and a rational probabilistic model was developed that reflects actual traffic characteristics

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Summary

Introduction

Current bridge design is based on conservative assumptions regarding the intensity of applied loads and the structural response of a bridge to these loads. The bridge maintenance and safety assessment of in-service bridges focus on maintaining on maintaining the required load capacities that were determined in the design stage without the required load capacities that were determined in the design stage without considering the actual considering the actual traffic environment. This paper presents a simple traffic model for estimating probabilities as a function of the traffic environment and proposes a rational maintenance procedure to determine the required load capacities environment and proposes a rational maintenance procedure to determine the required load of existing bridges by evaluating the required performance based on actual road traffic conditions. According to the proposed procedure, probabilistic vehicle weight models and consecutive traveling based on the field data. Headway models are proposed, as well as heavy vehicle distribution models for lanes on multi-lane roads

Engineers
A DB24 truckload is approximately
Probabilistic Vehicle Models of Weights and Traveling Patterns
Classification of Vehicles
Classification
Proposed
Traffic Flow Characteristics
Probabilistic Consecutive Models of Traveling Vehicles
Data Processing for Extreme Load Effect Analysis
Extreme Load Effects Due to Different Heavy Vehicle Proportion per Lane
Conclusions
Full Text
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