Inicio  /  Applied Sciences  /  Vol: 13 Par: 21 (2023)  /  Artículo
ARTÍCULO
TITULO

Finite Element Analysis of Tyre Contact Interaction Considering Simplified Pavement with Different Aggregate Sizes

Zhi Li    
Weiyong Chen    
Yinghui Li and Wenliang Wu    

Resumen

This study considered the effect of pavement aggregate grain size on tyre?pavement contact interaction during the late stages of pavement skid resistance. First, hemispherical shells 7, 9, and 13 mm in diameter were used to simulate coarse pavement aggregates. Subsequently, a three-dimensional finite element tyre?pavement contact model developed using ABAQUS was employed to analyse the contact interaction between each simplified pavement type and the tyre under steady?state rolling and braking conditions. Finally, the concept of occlusal depth was proposed and applied to characterise pavement skid resistance. The results showed that under steady?state rolling conditions, the peak contact stress of the simplified pavement increased with the pavement mean texture depth, whereas the contact area decreased. Under steady?state braking conditions, the effect of the contact interaction between the tyre and simplified pavement aggregates was ranked in order of superiority as aggregate grain sizes of 9, 7, and 13 mm, indicating that aggregate grain size did not exhibit any correlation with tyre?pavement contact interaction. Additionally, the squares of linear correlation coefficients between the pavement cumulative occlusal depth and horizontal braking force reached 0.921, 0.941, 0.889, and 0.894 for vehicle speeds of 30, 60, 90, and 120 km/h, respectively, indicating that they could be used to assess pavement skid resistance.

 Artículos similares

       
 
Weihan Huang, Ke Gao and Yu Feng    
Predicting earthquakes through reasonable methods can significantly reduce the damage caused by secondary disasters such as tsunamis. Recently, machine learning (ML) approaches have been employed to predict laboratory earthquakes using stick-slip dynamic... ver más

 
Todd Kelmar, Maria Chierichetti and Fatemeh Davoudi Kakhki    
This study introduces an innovative approach for optimizing sensor placement in modal testing by applying machine learning with enhanced efficiency and precision.
Revista: Applied Sciences

 
Chang Yan, Wen-Jie Fan, Da-Miao Wang and Wen-Zhang Zhang    
Mechanical interfaces are prevalent in industries like aerospace and maritime, where the normal contact stiffness on these surfaces is a crucial component of the overall stiffness of mechanical structures. From the perspective of structural mechanics, no... ver más
Revista: Applied Sciences

 
Lorenzo Santoro, Lorenzo Vaiani, Antonio Boccaccio, Luciano Lamberti, Lorenzo Lo Muzio, Andrea Ballini and Stefania Cantore    
In tissue formation and regeneration processes, cells often move collectively, maintaining connections through intercellular adhesions. However, the specific roles of cell?substrate and cell-to-cell mechanical interactions in the regulation of collective... ver más
Revista: Applied Sciences

 
Chunyun Shen, Genpei Li, Zhongxu Tian, Chang Chen and You Zhou    
The torsional stiffness parameter significantly influences the natural frequency of a leaf spring torsional vibration damper and its proper match with a diesel engine, and the nonlinear characteristics of torsional stiffness avoid reduced reliability due... ver más
Revista: Applied Sciences