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- W4386229293 abstract "This paper presents a procedure to calculate the characteristic value of braking forces of road bridges using monitored data and stochastic simulation. In the model, the braking force is a random variable characterized by a probability distribution. In addition to the properties of the bridge such as length, number of lanes, as well as stiffness and damping in longitudinal direction, the model also takes into account all essential stochastic variables that characterize a braking process. That is the composition of the traffic as a temporal sequence of vehicles, the weight of heavy vehicles according to vehicle type, the individual reaction time of the respective vehicle driver, the individual deceleration of each vehicle involved in the braking process and the probability of the occurrence of a braking process. All model parameters of these variables were characterized with traffic data monitored on Swiss motorways (automatic vehicle counting and weigh-in-motion stations) and data from naturalistic driving studies. Parameter studies with the simulation model show that the braking force strongly depends on the bridge length, the fundamental frequency of the bridge in longitudinal direction, the spontaneous clustering behavior of heavy vehicles, the frequency of hard braking events, and the return period. Since the return period is explicitly included in the model as a parameter, the model can be used for both the design of new and the assessment of existing bridges." @default.
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- W4386229293 date "2023-01-01" @default.
- W4386229293 modified "2023-09-30" @default.
- W4386229293 title "Determining Braking Forces on Bridges Using Monitored Traffic Data and Stochastic Simulation" @default.
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- W4386229293 doi "https://doi.org/10.1007/978-3-031-39117-0_11" @default.
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