# Predictive Models for Correlation of Compaction Characteristics of Weakly Cohesive Soils
## 6 Conclusions  
Compaction characteristics of weakly cohesive soils are determinant for field applications, particularly in the construction and infrastructure sectors. Developing reliable inter-correlation equations to predict these characteristics can enhance the efficiency of soil compaction procedures, reducing costs and ensuring better ground stability. However, such predictions should be made using a generalized approach that accounts for varying soil properties and site conditions to improve accuracy across different projects. Moisture content plays a critical role in both the compaction process and the resulting modulus of elasticity of the soil. Proper compaction in layer thickness leads to more uniform increases in the soil's modulus of elasticity. The layer thickness influences how well the soil compacts, and this in turn affects the final stiffness and stability of the compacted soil layers. These three factors must be carefully balanced to achieve optimal soil compaction, stability, and performance, particularly in geotechnical and construction applications. The presented analytical simulation models enable the evaluation of vertical drum motion of a vibratory roller on homogeneous terrain, taking into account the drum response to changing compaction degree. Using a vibratory roller ABG DD16, a static roller VV170, and terrain parameters, in this paper, the results of the modeling and simulation highlighted the characteristic aspects of weakly cohesive soil compaction. Inter-parametric laws are often empirical models derived from observed data, aiming to define relationships between various parameters within a system. These laws are essential in fields where direct theoretical models are complex or impossible to construct. By capturing trends and correlations among variables from experimental data, inter-parametric laws enable more accurate predictions and can improve design, optimization, and operational control. These empirical models often simplify complex underlying physical principles but provide practical accuracy for real-world applications. The prediction models that incorporate inter-parametric laws are heavily dependent on quality experimental data and, as new experimental data become available, these models are often refined to improve accuracy. In addition, these models often include adjustable parameters (such as coefficients or constants determined empirically) and may vary with working conditions. Unlike fundamental physical laws, these do not have universality applicability and may only apply to specific soils (such as weakly cohesive soils), conditions (moisture content, granulometric distribution, layer thickness, etc. ), or ranges of parameters (for technological working regime, applied load, or drum dimensions). The main achievements of this research lead to the following main conclusions regarding the model for prediction of soil behavior:  
1. The model adapts well to real-world conditions, with the values predicted for the modeled parameters closely matching those that describe the optimal technological scenario. 2. There is a strong correlation between the final main parameters from the modeling and those observed in real compaction processes (such as the number of passes, degree of compaction, dry density, static longitudinal modulus, and settlement). 3. The model is suitable for making relevant estimates during the design and technological planning phases of compaction processes for weakly cohesive soils, offering the advantage of understanding the correlation between changes in the soil's stiffness coefficient and the evolution of its condition (reflected by the settlement achieved). The utility of this predictive model for weakly cohesive soils is demanded by new approaches under a digitalization concept, which stipulates the use of predictability laws in pre-assessing the degree of soil compaction (or settlement) to estimate and maximize the efficiency of road construction or foundation works.