Prediction and optimization of electrical resistivity and unconfined compressive strength of cement-treated subgrade soil using I-optimal response surface methodology

This paper addressed the challenge of effectively evaluating and controlling the compaction quality of cement-stabilized subgrade soil during construction. It proposed using soil electrical resistivity as a geophysical technique to assess soil properties, alongside statistical analysis and optimization methods. Through I-optimal response surface methodology, the study modeled and optimized relationships between key soil properties and electrical resistivity. Statistical tools enhanced understanding of the interplay between soil electrical resistivity and unconfined compressive strength. Microscopic analysis revealed cation exchange and pozzolanic reactions contributing to soil stabilization. The desirability function was employed for multi-objective optimization, determining optimal values for electrical resistivity and unconfined compressive strength. Overall, the research provides a practical approach for deploying soil electrical resistivity systems in compaction quality control, potentially improving the efficiency and effectiveness of subgrade construction processes.