Abstract: In reality, the rolling parameters are often difficult to be strictly controlled to meet the application requirements of continuous compaction control technology, which greatly limits the scope of application and application effects of the technology. In order to adapt the dynamic variation of rolling parameters to the engineering practice, this paper performs multiple regression analysis for the rolling parameters, and uses Kriging interpolation method to estimate the target value/measured value of the continuous compaction control index. A continuous compaction monitoring model with the qualification rate of compaction as the quality evaluation index is proposed. The on-site rolling test is designed and carried out, and the multivariate regression relationship between compaction index and rolling parameters is established. The backward prediction analysis of conventional quality inspection index is conducted by combining Kriging interpolation method, which verifies the validity of the model. The continuous compaction control method based on the multivariate regression of rolling parameters is applied to the control of rolling construction quality of granite residual soil of District 2-1 of Shenzhen Airport T4 expansion project. The construction quality is verified to meet the design requirements by the conventional quality inspection method, demonstrating the effectiveness of the proposed method.

Key words: continuous compaction control, rolling parameters, multiple regression analysis, Kriging interpolation method