A5091887467- Asphalt Pavement Performance Evaluation
- Infrastructure Maintenance and Monitoring
- Adhesion, Friction, and Surface Interactions
- Fuel Cells and Related Materials
- Railway Engineering and Dynamics
- Vehicle Dynamics and Control Systems
- Geotechnical Engineering and Underground Structures
- Tribology and Wear Analysis
- Smart Materials for Construction
- Geomechanics and Mining Engineering
- Vehicle emissions and performance
- Traffic control and management
Nanjing University of Posts and Telecommunications
2022-2023
Southeast University
2018-2021
In order to study the adhesion between tire and asphalt pavement, we established a finite element model of hydroplaning, inflatable, patterned based on coupled Eulerian–Lagrangian method then validated model’s applicability. We numerically calculated tire‐pavement curves for three types pavement: concrete (AC), stone mastic (SMA), open‐graded friction course (OGFC). accordance with characteristic theory regard tires pavements, analyzed influential factors that affect characteristics...
To obtain the tire−pavement peak adhesion coefficient under different road states, a field measurement and FE simulation were combined to analyze characteristics in this study. According identified texture information, power spectral distribution of surface was obtained using MATLAB Program, novel tire hydroplaning model coupled with textured pavement established ABAQUS. Experimental results show that here exists an “anti-skid noncontribution area” for insulation lubrication water film....
To investigate the flow characteristics of pore water in asphalt pavement and variation law pressure under vehicle loading, a novel method based on BA network quartet structure generation set was proposed to reconstruct three-dimensional (3D) model with pores. The permeability coefficient gradation curve were adopted evaluate reliability stability random growth model. Then, tire-fluid-pavement coupling established FLUENT 3D fluid Mie–Gruneisen state equation. According built fluid-solid...
As the main objective influencing factor on brake safety of autonomous vehicles, pavement texture information is directly related to road surface antiskid performance. However, in system influence adhesion characteristics braking stability seldomly considered. To study vehicles curved sections under different conditions, advanced close-range photogrammetry was utilized extract information. Thereafter, power spectral density (PSD) calculated by MATLAB obtain coefficient curves based Persson...
In order to accurately characterize the meso properties of low-temperature cracking asphalt mixtures, a virtual thermal stress restrained specimen test (TSRST) was established based on thermo-mechanical analysis in discrete element method (DEM). A two-dimensional (2D) created by random generation algorithm for irregular aggregates. The laboratory tests were conducted obtain contact parameters between each phase material considering effect temperature. Based DEM coupling theory, TSRST analyze...