利用有限元软件ANSYS建立路面结构的分析模型,根据加强杆及路面整体的受力分析结果,对复合材料轻质高强路面进行了优化设计。结果表明:3种多孔加强杆应力分布和变形趋势基本一致,仅在前后车轮位置附近产生应力和变形。最大应力出现在前...利用有限元软件ANSYS建立路面结构的分析模型,根据加强杆及路面整体的受力分析结果,对复合材料轻质高强路面进行了优化设计。结果表明:3种多孔加强杆应力分布和变形趋势基本一致,仅在前后车轮位置附近产生应力和变形。最大应力出现在前轮作用处,最大应力均为291.667 k Pa;最大位移出现在后轮作用处,其中3孔结构位移最小,但位置基本一致。经综合分析比较,优化设计方案为应急路面器材加强杆件应采用60×30 mm 3孔箱体结构,路面杆件间距为60 mm。展开更多
The feature bends and tunnels of mountainous expressways are often affected by bad weather,specif-ically rain and fog,which significantly threaten expressway safety and traffic efficiency.In order to solve this proble...The feature bends and tunnels of mountainous expressways are often affected by bad weather,specif-ically rain and fog,which significantly threaten expressway safety and traffic efficiency.In order to solve this problem,a vehicle–road coordination system based on the Internet of Things(IoT)is developed that can share vehicle–road information in real time,expand the environmental perception range of vehicles,and realize vehicle–road collaboration.It helps improve traffic safety and efficiency.Further,a vehicle–road cooperative driving assistance system model is introduced in this study,and it is based on IoT for improving the driving safety of mountainous expressways.Considering the influence of rain and fog on driving safety,the interaction between rainfall,water film,and adhesion coefficient is analyzed.An intelligent vehicle–road coordination assistance system is constructed that takes in information on weather,road parameters,and vehicle status,and takes the stopping sight distance model as well as rollover and sideslip model as boundary constraints.Tests conducted on a real expressway demonstrated that the assistance system model is helpful in bad weather conditions.This system could promote intelligent development of mountainous expressways.展开更多
文摘利用有限元软件ANSYS建立路面结构的分析模型,根据加强杆及路面整体的受力分析结果,对复合材料轻质高强路面进行了优化设计。结果表明:3种多孔加强杆应力分布和变形趋势基本一致,仅在前后车轮位置附近产生应力和变形。最大应力出现在前轮作用处,最大应力均为291.667 k Pa;最大位移出现在后轮作用处,其中3孔结构位移最小,但位置基本一致。经综合分析比较,优化设计方案为应急路面器材加强杆件应采用60×30 mm 3孔箱体结构,路面杆件间距为60 mm。
基金the Project of Zhejiang Provincial Transportation Department(No.2020059)。
文摘The feature bends and tunnels of mountainous expressways are often affected by bad weather,specif-ically rain and fog,which significantly threaten expressway safety and traffic efficiency.In order to solve this problem,a vehicle–road coordination system based on the Internet of Things(IoT)is developed that can share vehicle–road information in real time,expand the environmental perception range of vehicles,and realize vehicle–road collaboration.It helps improve traffic safety and efficiency.Further,a vehicle–road cooperative driving assistance system model is introduced in this study,and it is based on IoT for improving the driving safety of mountainous expressways.Considering the influence of rain and fog on driving safety,the interaction between rainfall,water film,and adhesion coefficient is analyzed.An intelligent vehicle–road coordination assistance system is constructed that takes in information on weather,road parameters,and vehicle status,and takes the stopping sight distance model as well as rollover and sideslip model as boundary constraints.Tests conducted on a real expressway demonstrated that the assistance system model is helpful in bad weather conditions.This system could promote intelligent development of mountainous expressways.