A coupled wind-vehicle-bridge system and its applications: a review

Cai, C.S.; Hu, Jiexuan; Chen, Suren; Yan, Huang; Zhang, Wei; Kong, Xuan

doi:10.12989/was.2015.20.2.117

Cited by 40 publications

(13 citation statements)

References 136 publications

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“…is problem has attracted many attentions in the field of bridge [1]. Most of the research in the vehicle-bridge system is aimed at two aspects.…”

Section: Introductionmentioning

confidence: 99%

Safety Prediction Using Vehicle Safety Evaluation Model Passing on Long‐Span Bridge with Fully Connected Neural Network

Yang

et al. 2019

Advances in Civil Engineering

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The safety condition of vehicles passing on long-span bridges has attracted more and more attention in recent years. Many research studies have been done to find convenience and efficiency measures. A vehicle safety evaluation model passing on a long-span bridge is presented in this paper based on fully connected neural network (FCN). The first step is to investigate the long-span bridge responses with wind excitation by using the wind tunnel test and finite element model. Subsequently, typical vehicle models are given and a vehicle-bridge system is established by considering weather conditions. Accident types of vehicles with severe weather are estimated. In particular, the input and output variables of the vehicle safety evaluation model are determined, and simultaneously training, validation, and testing data are achieved. Twenty-nine models have been compared and analyzed by using hidden layer, initial learning rate, batch size, activation function, and optimization method. It is found that the 4-15-15-4 model occupies a preferable prediction performance, and it can provide a kind of utility for traffic control and reduce the probability of vehicle accidents on the bridge.

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“…is problem has attracted many attentions in the field of bridge [1]. Most of the research in the vehicle-bridge system is aimed at two aspects.…”

Section: Introductionmentioning

confidence: 99%

Safety Prediction Using Vehicle Safety Evaluation Model Passing on Long‐Span Bridge with Fully Connected Neural Network

Yang

et al. 2019

Advances in Civil Engineering

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“…Zhai et al [6] introduced the track structure into the vehicle-bridge system, and allowed the wheels to jump-up from the rail in the dynamic simulation. Li et al [5], Xu et al [7] and Cai et al [8] studied the vibration of vehiclebridge due to crosswind. Doménech et al [9] investigated the effect of soil-structure interaction on the response of railway bridges driven by moving vehicles.…”

Section: Introductionmentioning

confidence: 99%

Vehicle-induced random vibration of railway bridges: a spectral approach

Jin

Pei

et al. 2017

International Journal of Rail Transportation

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The vibration of railway bridges induced by moving vehicles was conventionally evaluated through time domain simulations, which are computationally expensive in probabilistic analyses that require Monte Carlo simulation. A frequency domain solution to the random vibration of railway bridges is derived in this paper where the random wheel-rail force is represented by its power spectral density. As a frequency domain approach, the proposed method is naturally suitable for the random analysis of the vehicleinduced bridge vibration, and the method is highly efficient since it only involves the Fast Fourier Transform (FFT). Numerical examples showed that the simply supported bridge may resonate in several natural modes due to the coincidence of dominant frequencies of hunting forces to the natural frequencies of the bridge. For long-span bridges with low natural frequencies out of which the dominant hunting frequencies fall, resonances are unlikely to occur. ARTICLE HISTORY

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“…Crosswind may threaten the safety of the running vehicle due to the unsteady aerodynamic loads (Cai 2015). Many reports show that the crosswind is a significant factor causing the vehicle accidents.…”

Section: Introductionmentioning

confidence: 99%

Coupled Analysis of Unsteady Aerodynamics and Vehicle Motion of a Passenger Car in Crosswind Condition

Huang

Feng

2017

JAFM

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High-speed passenger car requires a lighter weight for improving power performance and reducing fuel consumption; a car with higher-speed and lighter weight will lead to the passenger car more sensitive to the crosswind, which will affect the stability and drivability of the passenger car. This study employs the fully-coupled method to investigate a passenger car subjected "1-cos" crosswind with consideration of the vehicle motion. Large eddy simulation (LES) and dynamic mesh is adopted to investigate the unsteady aerodynamic, and the vehicle is treated as a three-freedom-system and driver's control is considered to investigate the vehicle dynamic. The one-way simulation and quasi-steady simulation are also conducted to compare with the fully-coupled simulation. The results of the three simulation methods show large difference. The peak value of the lateral displacement in fully-coupled simulation is the smallest between the three simulation approaches. While the change of aerodynamic loads and vehicle motion in fully-coupled simulation is more complicated than in one-way and quasi-steady simulation. These results clearly indicate the significance of including of the unsteady aerodynamic loads in passenger car moving analysis.

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A coupled wind-vehicle-bridge system and its applications: a review

Cited by 40 publications

References 136 publications

Safety Prediction Using Vehicle Safety Evaluation Model Passing on Long‐Span Bridge with Fully Connected Neural Network

Safety Prediction Using Vehicle Safety Evaluation Model Passing on Long‐Span Bridge with Fully Connected Neural Network

Vehicle-induced random vibration of railway bridges: a spectral approach

Coupled Analysis of Unsteady Aerodynamics and Vehicle Motion of a Passenger Car in Crosswind Condition

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