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Dynamic Amplification Factors of an Arch Bridge Under Random Traffic Flows.
- Source :
- International Journal of Structural Stability & Dynamics; Mar2024, Vol. 24 Issue 6, p1-30, 30p
- Publication Year :
- 2024
-
Abstract
- Among large-span bridges, arch bridges have relatively high stiffness, which may lead to large dynamic amplification factors (DAFs). The DAFs suggested by current codes mostly originate from common simply supported beam bridges. Previous DAF studies on dynamic vehicle–bridge solutions for arch bridges have mainly focused on one or two side-by-side vehicles. However, complex traffic flows with randomness rather than one or two vehicles act on bridges. DAFs that consider the effects of random traffic flows have not previously been reported. In this study, a random traffic–bridge vibration solution was established to explore the DAFs of arch bridge components. The randomness of the traffic parameters and road roughness was explored. The randomness of the external excitation, including traffic flow and road roughness, resulted in random dynamic responses and DAFs of the arch bridge components. Normal distributions could be used to fit the DAF distributions of each arch bridge component under random vehicle spacing, weight, speed, and road roughness. Under random traffic parameters, the coefficients of variation of the DAFs exceeded the 5% accepted level. The shortest suspenders were more sensitive to the randomness of the traffic flow parameters. Both the mean and coefficient of variation of the DAFs increased with worsening of the road conditions. The influence of the randomness of the road roughness on the DAFs of arch bridges must be considered, particularly for the shortest suspender. The 95% upper confidence limits of the DAFs for all components may be greater than the suggested values in the code. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02194554
- Volume :
- 24
- Issue :
- 6
- Database :
- Complementary Index
- Journal :
- International Journal of Structural Stability & Dynamics
- Publication Type :
- Academic Journal
- Accession number :
- 176124142
- Full Text :
- https://doi.org/10.1142/S0219455424500640