期刊
COMPUTERS AND GEOTECHNICS
卷 150, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.compgeo.2022.104890
关键词
Particle -scale behaviour; Surface roughness; Contact law; Friction
类别
资金
- Engineering and Physical Sciences Research Council [EP/V053655/1]
- Japan Society for the Promotion of Science [JPJSBP120195701]
- UK Royal Society [IEC \R3\183026]
This paper presents a systematic study on the influence of fractal rough surfaces on contact area, aiming to advance the contact constitutive laws used in the Discrete Element Method. The mechanical behavior of computer-generated surface roughness is investigated using an in-house Boundary Element code. Various parameters are controlled to generate surfaces with specific roughness properties, and their effects on contact area are analyzed. Analytical solutions proposed in tribology are applied to predict the real contact area, and a parameter based on certain roughness properties is suggested for improved prediction. Simulation results of natural sand surfaces show similar trends with the computer-generated surfaces, but with more complexity.
This paper describes a systematic study of the effect of fractal rough surfaces on the contact area with the aim of advancing contact constitutive laws used in the Discrete Element Method. An in-house Boundary Element code is adopted to investigate the mechanical behaviour of computer-generated surface roughness. Surfaces are generated to have methodically controlled root mean square height (S-q), root mean square gradient (S-dq), short wavevector (q0), large wavevector (q(1)), Hurst exponent (H) and fractal dimension (D-f). The effect of each parameter on the contact area is investigated. Two recently proposed analytical solutions in tribology (i.e. Persson-Tosatti and Pastewka-Robbins) are applied to predict the real contact area. A parameter based on S-q, q(0), and H is proposed and its sensitivity for real contact area prediction is demonstrated. Surfaces of natural sand are simulated and their mechanical response shows similar trend as the computer-generated surfaces, albeit more complex.
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