Extrapolating method of extreme load effects on long-span bridge under actual traffic loads

LU Nai-wei; LIU Yang; XIAO Xin-hui

doi:10.19818/j.cnki.1671-1637.2018.05.005

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LU Nai-wei, LIU Yang, XIAO Xin-hui. Extrapolating method of extreme load effects on long-span bridge under actual traffic loads[J]. Journal of Traffic and Transportation Engineering, 2018, 18(5): 47-55. doi: 10.19818/j.cnki.1671-1637.2018.05.005

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LU Nai-wei, LIU Yang, XIAO Xin-hui. Extrapolating method of extreme load effects on long-span bridge under actual traffic loads[J]. Journal of Traffic and Transportation Engineering, 2018, 18(5): 47-55. doi: 10.19818/j.cnki.1671-1637.2018.05.005

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Extrapolating method of extreme load effects on long-span bridge under actual traffic loads

doi: 10.19818/j.cnki.1671-1637.2018.05.005

1.
School of Civil Engineering, Changsha University of Science and Technology, Changsha 410114, Hunan, China
2.
Institute for Risk and Reliability, Leibniz University Hannover, Lower Saxony, Germany
3.
Hunan Province Engineering Laboratory of Bridge Structure, Changsha University of Science and Technology, Changsha 410114, Hunan, China

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Author Bio:
LU Nai-wei(1987-), male, lecturer, PhD, lunaiweide@163.com
Received Date: 2018-05-20
Publish Date: 2018-10-25

Abstract

Abstract

A probabilistic superposition approach was proposed for investigating the extreme load effects of stochastic traffic flows with multiple densities.The approach was utilized to extrapolate the extreme values of vehicle load effects on the long-span bridges using the measured traffic data.The principle of superposing level-crossing rate based on the Rice's formula was explained, and its validity was proved.Three types of stochastic traffic flows, including the sparse flow, normal flow and dense flow, were simulated based on the long-term monitored traffic data of a highway bridge in China, and the maximum bending moment of a concrete cable-stayed bridge was analyzed based on the level-crossing superposition model.Analysis result shows that basedon the measured traffic data of a highway, the densities of free flow, normal flow and busy flow are 1.7, 5.0 and 8.3 veh·min-1, respectively.In the numerical example, when the occupancy of 45 t-vehicles increases from 0 to 80%, the maximum vehicle mass decreases by only 1.2%.But when the occupancy of 50 t-vehicles increases from 0 to 20%, the maximum vehicle mass decreases by 14.4%.This phenomenon indicates that the extreme value of a non-equilibrium random process composed by some stationary random processes is mostly depended on the random processes with higher values.The maximum extrapolating error of the maximum vehicle mass is2.55%for the mixed traffic flow using the level-crossing superposition approach, which explains that the extrapolating approach of extreme load effects on long-span bridges based on the principle of vehicle dispersion and superposition of extreme value probability is feasible.The increase of occupancy of dense traffic flow from 0 to 5%leads to an amplification of 33.45%for the maximum bending moment of the girder of a cable-stayed bridge.When the annual traffic growth rate of a cable-stayed bridge is 2.8%in the design lifetime, the probability that the midspan extreme bending moment of the bridge girder exceeds the design standard value is 0.83 and higher than the design requirements, therefore, it is deserved to take some measures to control the traffic flow.
- bridge engineering,
- vehicle load,
- extreme load effects,
- stochastic traffic flow,
- weigh-in-motion,
- extrapolation method

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References

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Extrapolating method of extreme load effects on long-span bridge under actual traffic loads

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