Vehicle roll-over stability in strong winds on long-span bridges

Stoyanoff, Stoyan; Dallaire, Pierre-Olivier; Zoli, Ted; Daly, G.

doi:10.3233/brs-160094

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…Based on previous studies, effects of excitation are researched, including seismic excitation, wind excitation, rain excitation, roughness excitation, and traffic flow excitation. e wind excitation is most widely concerned [24][25][26][27][28][29][30][31][32][33]. Dynamic analysis of the vehicle-bridge system is maturing, with a wealth of well-understood methods and algorithms, particularly in the wind-vehicle-bridge system.…”

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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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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Calculation of the overturning wind speed of large road vehicles at exposed sites

Baker

Soper

2022

Proceedings of the Institution of Civil Engineers - Transport

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High-sided vehicles are particularly vulnerable to high wind conditions and at sites that are regarded as vulnerable, a range of vehicle restrictions are imposed in high winds. These may include vehicle speed reductions or complete restrictions on the movement of different categories of vehicle at different wind gust speeds. This paper builds on earlier work that has been carried out and seeks to develop a simple but conservative method that can be used to specify vehicle restriction strategies. This is based on a collation of a wide range of data for aerodynamic rolling moment coefficients that allows a simple parameterisation to be developed. This is then used in an overturning model to develop a non-dimensional relationship between overturning gust speed and vehicle speed. The parameter used in the non-dimensionalisation is a characteristic wind speed that is a function of vehicle weight and geometry, and effectively specifies the vulnerability of the vehicle to overturning in high winds. Dimensional relationships between overturning gust velocities and vehicle velocities can thus be derived for different vehicle types and used to develop site-specific vehicle restriction methods.

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Sazlidere Bridge Wind Tunnel Testing Assisted Design

Ozkan,

Mattiello,

Dorigatti

et al. 2023

IABSE Symposium, Istanbul 2023: Long Span Bridges

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<p>In the context of the Northern Marmara Motorway Section 8 Project, a new cable-stayed bridge, the Sazlidere Bridge, is being designed and works have already started on site. To support this fast-paced project, RWDI is collaborating with the design team and providing wind engineering services. The activities employ wind tunnel experiments and are focused on two main aspects: aerodynamic stability of the bridge and the risk of wind-induced overturning of large lorries crossing the bridge. With respect to aerodynamic stability, limited tests on a sectional model of the bridge deck were performed in one of RWDI’s wind tunnels using a state-of-the-art sectional model test rig. Testing of a full bridge aeroelastic model with relevant topography was also conducted allowing for the simulation of atmospheric turbulence from any wind direction. This testing was used primarily to verify the aerodynamic stability of the structure for various wind directions and to measure the buffeting response of the bridge to turbulent winds. Further wind tunnel testing on a small-scale rigid transport lorry model was completed to measure the aerodynamic force and moment coefficients of the vehicle as a function of wind direction. These data were combined with a numerical model for the roll-over stability of high-sided vehicles to calculate critical wind speeds versus wind direction for lorries driving along the central span of the bridge.</p>

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Vehicle roll-over stability in strong winds on long-span bridges

Cited by 3 publications

References 4 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

Calculation of the overturning wind speed of large road vehicles at exposed sites

Sazlidere Bridge Wind Tunnel Testing Assisted Design

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