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Open access Jul 2026

Predictive Modelling and Optimization of Slope Stability Using Numerical Simulations and Machine Learning Techniques

The current study combines numerical modelling and machine learning to identify the stability of applications in nail reinforced slope study. PLAXIS LE was used to develop different slopes having different soil properties including various values for cohesion (5, 10, 15 kPa), angle of internal friction (20°, 25°, 30°),...

Radha Tomar, Smita Tung · 0 citations
Open access Jul 2026

Assessing the Reliability of Empirical Correlations for Compression Index Prediction in Fine-Grained Soils

Settlement can cause significant damage to buildings and infrastructure constructed on highly compressible soils. The compression index (Cc) is a key parameter in estimating the magnitude of potential settlement. Empirical equations are commonly used to efficiently obtain Cc values, providing a practical alternative to...

Christy Anandha Putri, Edwin Laurencis Hendrikus · 0 citations
Open access Aug 2026

Sensitivity-Driven Evolutionary Polynomial Regression for Tropical Subgrade Permanent Deformation

This study developed an interpretable Evolutionary Polynomial Regression framework to predict permanent deformation of tropical soil subgrades in semi-rigid pavement structures. The database combined repeated-load triaxial test parameters reported in Brazilian studies with controlled mechanistic-empirical simulations r...

Bruno Oliveira da Silva, G. J. Gomes · 0 citations
Open access Aug 2026

Geotechnical Evaluation of Gradient-Based Neural Networks for Factor of Safety Prediction in Homogeneous Soil Slopes Under Hydraulic Variability

Slope stability assessment remains a fundamental challenge in geotechnical engineering because of the complex nonlinear interactions among soil properties, slope geometry, and hydraulic conditions, particularly variations in pore-water pressure. This study investigates the reliability of Artificial Neural Network–Multi...

Shaza Soleiman, M. Rahhal · 0 citations
Open access Jul 2026

TabPFN-Based Prediction of Concrete Compressive Strength

The use of supplementary cementitious materials such as fly ash can reduce environmental impacts and improve the sustainability of concrete construction. However, the nonlinear interactions among mixture design parameters make accurate prediction of concrete compressive strength challenging. In this study, TabPFN, a pr...

Zhihao Zhao, Jinjin Wang, Guohui Ma et al. · 0 citations

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