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Symmetry
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28 December 2025

Numerical Simulation of the Dry Friction Constrained System Based on Coulomb Stick-Slip Motion

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1
College of Mechanical & Electrical Engineering, Shaanxi University of Science & Technology, Xi’an 710026, China
2
Engineering Research Center of Expressway Construction & Maintenance Equipment and Technology of MOE, Chang’an University, Xi’an 710064, China
3
School of Mechanics and Safety Engineering, Zhengzhou University, Zhengzhou 450001, China
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Author to whom correspondence should be addressed.
Symmetry2026, 18(1), 57;https://doi.org/10.3390/sym18010057 
(registering DOI)
This article belongs to the Section Engineering and Materials

Abstract

Due to the non-smooth characteristics of stick-slip friction, analytical solutions for the Dry Friction Constrained System (DFCS) are generally unavailable. Consequently, numerical simulation has become the most widely used approach for analyzing the DFCS. However, the accuracy and efficiency of the numerical algorithm considering the Coulomb stick-slip motion and determining whether stick-slip motion is considered in engineering design to further improve the computational efficiency remain a critical area of study. In this paper, a single-degree-of-freedom DFCS is introduced to address these issues. The Runge-Kutta method, combined with the dichotomy, is employed to accurately capture the stick-slip transition point. The normal load and dry friction are both symmetrically and evenly distributed at contact surfaces. Firstly, stick-slip motion analyses are performed, and response characteristics of the DFCS are discussed. Then, the convergence characteristics of the numerical algorithm are analyzed, and the optimal iteration step size and the zero-velocity interval are determined. Finally, whether stick-slip motion is considered in numerical simulation in the design of the DFCS in engineering practice is analyzed based on the dimensionless external force and frequency ratio. The criteria for determining whether stick-slip motion is considered in engineering design are established, which can improve both computational accuracy and efficiency.

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