During the compaction of a road subgrade, the mechanical parameters of the soil mass change in real time, but current research assumes that these parameters remain unchanged. In order to address this discrepancy, this paper establishes a relationship between the degree of compaction K and strain ε. The relationship between the compaction degree K and the shear strength of soil (cohesion c and frictional angle ϕ) was clearly established through indoor experiments. The subroutine UMAT in ABAQUS finite element numerical software was developed to realize an accurate calculation of the subgrade soil compaction quality. This value was compared and analyzed against the assumed compaction value of the model, thereby verifying the accuracy of the intelligent compaction calculation results for subgrade soil. On this basis, orthogonal tests of the influential factors (frequency, amplitude, and quality) for the degree of compaction and sensitivity analysis were carried out. Finally, the ‘acceleration intelligent compaction value’, which is based on the acceleration signal, is proposed for a compaction meter value that indicates poor accuracy. The research results can provide guidance and basis for further research into the accurate control of compaction quality for roadbeds and pavements.

在道路路基压实过程中，土壤质量的力学参数实时变化，但是目前的研究假设这些参数保持不变。为了解决这个差异，本文建立了压实度K和应变ε之间的关系。压实度K与土壤抗剪强度之间的关系（内聚力c通过室内实验清楚地确定了摩擦角ϕ）。开发了ABAQUS有限元数值软件中的子程序UMAT，以实现路基土压实质量的精确计算。将该值与模型的假定压实值进行比较和分析，从而验证路基土壤智能压实计算结果的准确性。在此基础上，对压实度和敏感性分析的影响因素（频率，幅度和质量）进行了正交测试。最后，提出了基于加速度信号的“加速度智能压实值”，用于表示精度差的压实仪值。