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This paper presents a comprehensive dataset of 2,854 laboratory compaction tests across various Proctor energy levels, addressing the limitations of existing correlations that rely on small, single-laboratory datasets. By auditing each record to ensure adherence to the Proctor method and applying rigorous screening, the authors reveal that a significant portion of published compaction data is physically implausible. The study establishes a robust baseline for optimum saturation and demonstrates that a tabular foundation model can effectively predict density and water content, achieving R虏 values of 0.824 and 0.784, respectively, under random folds.
A staggering 11.8% of existing compaction data is physically impossible, reshaping our understanding of soil compaction testing.
Every engineered fill is specified by a maximum dry density and an optimum moisture content. Each determination needs a full Proctor test. Published correlations rest on one to four hundred specimens, usually from one laboratory at one compactive energy, and are seldom released. This paper releases a corpus without those limits. It holds 2,854 laboratory compaction tests from six public sources, across 162 provenance groups and four Proctor energy levels, with fines from 1.5 to 100%. Every record is audited to the Proctor method its source names, and no energy is inferred. Screening on the zero-air-voids condition removed 11.8% of harmonised records, and 5.7% of those with a measured specific gravity. A material share of published compaction data is physically impossible. The optimum degree of saturation over the corpus is 0.815 at a coefficient of variation of 11%. That is a baseline, not a constant. Both parameters are then estimated from one classification suite and the compaction standard. A tabular foundation model reaches R2 0.824 for density and 0.784 for water content under random folds. It reaches 0.727 and 0.696 with folds drawn around provenance, and 0.520 and 0.614 with a whole source held out. Compactive energy is negligible marginally yet decisive conditionally. Density on the 66 modified-Proctor records is predicted at R2 0.740 with it and -0.651 without. Symbolic regression yields closed forms coupled through a phase relation. No predicted pair can then exceed the zero-air-voids line. The predictions are for screening, not acceptance.
