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Stochastic modeling of ambient traffic loadings in LS-DYNA nonlinear FE analysis
Bridge dynamics data are usually collected as a function of excitations by ambient traffic loads. However, the stochastic aspects of the multi-lane, continuous traffic flows significantly complicate the loading conditions in dynamics analysis of highway bridges. Such ambient traffic loadings often cause incremental changes of structural shear or bending stresses in bridge structures and therefore result in fatigue damage. Most current approaches for modeling traffic loading rely on simple load spectra approximations and address only the maximum effect of the loading. Therefore, they have limited ability to take into account the effect of such multi-lane ambient traffic flow loadings. This paper presents a stochastic modeling and simulation approach to describe ambient traffic flows over the highway bridges.
Stochastic modeling of ambient traffic loadings in LS-DYNA nonlinear FE analysis
Bridge dynamics data are usually collected as a function of excitations by ambient traffic loads. However, the stochastic aspects of the multi-lane, continuous traffic flows significantly complicate the loading conditions in dynamics analysis of highway bridges. Such ambient traffic loadings often cause incremental changes of structural shear or bending stresses in bridge structures and therefore result in fatigue damage. Most current approaches for modeling traffic loading rely on simple load spectra approximations and address only the maximum effect of the loading. Therefore, they have limited ability to take into account the effect of such multi-lane ambient traffic flow loadings. This paper presents a stochastic modeling and simulation approach to describe ambient traffic flows over the highway bridges.
Stochastic modeling of ambient traffic loadings in LS-DYNA nonlinear FE analysis
Livingston, Richard A. (author) / Jin, Shuang (author) / Marzougui, Dhafer (author)
Health Monitoring and Management of Civil Infrastructure Systems ; 2001 ; Newport Beach,CA,United States
Proc. SPIE ; 4337
2001-08-03
Conference paper
Electronic Resource
English
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