Modeling the influence of Poisson's ratio on crack formation in the road sur-face of the forest transport system

The authors present a model and develop a methodology for its application in the applied analysis of crack formation in pavement structures under vertical loading, accounting for Poisson's ratio dependence. The proposed methodology serves as a research tool for analyzing the influence of Poisson's ratio on relative crack depth in pave-ment constructions. Computational results obtained through this approach enable comparative evaluation of how soil mixture stabilizers affect crack resistance in road structures. Furthermore, this study examines the mechanism of local-ized pavement failure and pothole formation, considering Poisson's ratio effects. In one example, the model demon-strates that for sand and gravel mixtures with an average Poisson's ratio of 0.25, where all values (taking into account random variations) fall within the confidence interval of [0.15-0.35] at 95% reliability, the predicted relative crack depth ranges from [0.20-0.43] at a fixed compressive stress of 1 MPa. In addition, the methodology defines a range of predicted loads for the specified crack depths. Verification procedures include uniaxial compression testing of standard specimens made from conventional road construction materials, with experimental data processed according to the developed methodology. Practical analysis of the results suggests potential techno-economic benefits of this develop-ment.