In this paper, a large number of geotechnical engineering survey data are collected in hilly and plain region along the Yangtze River in Anhui Province. Based on the statistical analysis and calculation of the experimental data of physical and mechanical properties of cohesive soils (the main quaternary soil layers in the area), the correlation between the liquidity index and water content and other physical and mechanical properties indexes are analyzed, and the fitting regression is carried out respectively. The results show that the liquidity index (IL)) and water content (w) are highly correlated with cohesion (C), compression modulus (Es), compression coefficient (α), natural density (ρ), void ratio (e), and the regression equations have high goodness of fit and good fitting effect; In addition, the fitting regression equations of water content, void ratio and natural density are compared with the theoretical calculation formula, it is found that the calculation results are close, which proves that the fitting regression equations are reliable and can be used in engineering practice.

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Based on the discrete element method, the relationship between the microscopic parameters and the actual macroscopic parameters is introduced. In this paper the method of calculating the corresponding microscopic parameters of cohesive soil containing calcareous nodules is discussed, and the numerical model is established by using the solved parameter results. Numerical simulation results show that: the numerical model of cohesive soil containing calcareous nodules is basically consistent with the stress-strain curve of the actual triaxial test results, and has a high similarity. On this basis, the mechanism of the effect of calcareous nodules on the mechanical properties of soil on the mesoscale scale can be further discussed.