Influence of Aggregate Pollution in Truck Escape Ramps on Stopping Distance of Uncontrolled Vehicles

Pinpin Qin (), Ziming Li, Hao Li, Junming Huang and Guiqi Wang
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Pinpin Qin: School of Mechanical Engineering, Guangxi University, Nanning 530004, China
Ziming Li: School of Mechanical Engineering, Guangxi University, Nanning 530004, China
Hao Li: School of Mechanical Engineering, Guangxi University, Nanning 530004, China
Junming Huang: School of Mechanical Engineering, Guangxi University, Nanning 530004, China
Guiqi Wang: School of Mechanical Engineering, Guangxi University, Nanning 530004, China

Sustainability, 2022, vol. 14, issue 18, 1-12

Abstract: Migration of fine materials such as soil from the roadbed and the ground will gradually pollute the aggregate in the arrester bed of truck escape ramps. However, there are few studies on the impact of aggregate pollution of the arrester bed on the stopping distance of runaway vehicles. This paper uses the discrete element method to study the influence of aggregates with different degrees of pollution on stopping distance by taking silty cohesive soil as a typical pollutant. In this paper, the stopping process of the uncontrolled vehicle on the arrester bed with different pollution levels was numerically simulated. The simulation results show that the uncontrolled vehicle’s stopping distance increases with the contaminated aggregate’s soil content. The simulation results show that when the soil content in the contaminated aggregate is less than 15%, the increase in the stopping distance of the uncontrol vehicle is less than 5%; when the soil content is 20–25%, the stopping distance of the uncontrolled vehicle increases by more than 20%; and when the soil content is 30–35%, the stopping distance of uncontrol vehicle increases by more than 50%. Different maintenance measures should be taken according to the increase in stopping distance.

Keywords: truck escape ramps; discrete element method; numerical simulation; aggregate pollution; stopping distance (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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