Abstract

Istraživanje modela opterećenja za zamor mostova na autocestama u jugoistočnoj Kini

Highlights

  • With the rapid development of automobile industry and transport, the number of vehicles present on highways is increasing on a daily basis

  • An accurate establishment of the fatigue load model of highway bridges should be based on actual vehicle load data collected, including the data related to vehicle type, vehicle gross weight, and axle load

  • Among seven standard fatigue vehicle models established in this paper, the gross vehicle weight (GVW) of four 6-axle vehicle models varies from 330 kN to 527 kN, which is

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Summary

Introduction

With the rapid development of automobile industry and transport, the number of vehicles present on highways is increasing on a daily basis. Zhou et al [11, 12] selected eight typical expressways in China to carry out a traffic load survey, and the vehicle load spectrum of expressway bridges used for different regions was obtained based on the principle of equivalent fatigue damage. Based on the Miner”s linear cumulative damage ratio and the equivalent fatigue damage principle, the fatigue load spectrum of the Xinyihe Bridge, including nine representative types of vehicles, was established, and the contribution value of fatigue damage was studied. Zhai et al [20] loaded the measured fatigue load spectrum of five different grade highways on the stress influence line of typical fatigue details of a steel box girder cable-stayed bridge, in order to calculate the fatigue damage of each detail under actual traffic flow, and determine the vehicle types that mainly caused the damage. According to the formula deduced, the fatigue load spectrum and standard fatigue load model of each province and Southeast China are proposed and contrasted with research findings of other scholars

Vehicle load data collection
Collection point location
Data processing
Vehicle classification
Vehicle load analysis
Damage level of stress cycle
Equivalent axle weight
Fatigue damage contribution ratio
Fatigue load spectrum of model vehicles
Findings
Conclusion

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