Stiffness and Strength of Stabilized Organic Soils—Part I/II: Experimental Database and Statistical Description for Machine Learning Modelling

This paper presents the experimental database and corresponding statistical analysis (Part I), which serves as a basis to perform parametric machine learning modelling II) of comprehensive study on organic soil strength stiffness, stabilized via wet mixing method. The includes unconfined compression tests performed under laboratory-controlled conditions investigate impact type, soil’s content, initial natural water binder quantity, grout ratio, curing time, temperature, relative humidity carbon dioxide content specimens’ stiffness strength. A descriptive complements description database, along with qualitative stabilization hydration process scanning electron microscopy images. Results confirmed findings use Portland cement alone mix ground granulated blast furnace slag suitable binders for stabilization. Findings mixes including lime magnesium oxide cements demonstrated minimal Specimen size affected but not peat cement. all produced data analyses, are available at Texas Data Repository indicated in Availability Statement below, allow reproducibility promote artificial intelligence competing techniques ones presented Part II this paper.