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Oct 2026
Reliability-Based Assessment of Slopes Stability Considering Seismic and Soil Uncertainty
In slope instability hazard assessment, it is essential to account for uncertainties associated with both soil heterogeneity (the mechanical and physical properties of the soil) and environmental conditions, such as hydraulic boundary conditions, external loads, and seismic actions. This study investigates the reliabil...
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· International Journal of Eng... · 0 citations
Sep 2026
Reliability Analysis of Anchored Slopes under Rainfall Infiltration Considering Multi-Parameter Influences
Rainfall infiltration poses a critical threat to anchored slope stability, challenging traditional deterministic methods for long-term safety assessment. This study develops an integrated reliability analysis framework coupling unsaturated seepage flow, a segmented slip surface method, and Monte Carlo simulation. Appli...
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· Advanced Engineering Forum · 0 citations
Open access
2026
Implications of statistical modelling of geological parameters in engineering applications
Geological modelling plays a critical role by improving subsurface characterization and supporting engineering decision-making. This study presents an integrated geostatistical modelling framework for spatial characterization of lithology, core recovery, rock quality designation (RQD) and percolation geoparameters at B...
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Jan 2027
Reliability Analysis of Unsaturated Soil Slopes Using Advanced Surrogate Models: A Comparative Study of PCE-MCS, K-MCS, and Gradient-Based Methods
Probabilistic stability analysis of soil slopes is essential for reliable geotechnical design due to pronounced uncertainties in soil strength and hydraulic parameters. Although crude Monte Carlo simulation (MCS) provides a robust benchmark, its prohibitive computational cost and the limitations of gradient-based m...
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· Journal of computing in civi... · 0 citations
Open access
Sep 2026
Multi-source data integration for soil parameter uncertainty quantification
Calibration of soil parameters is essential for reliable geotechnical analysis, yet remains challenging due to limited field measurements, model discrepancy, correlated outputs and the need to incorporate multiple-source data types. This paper proposes a sequential Bayesian framework that enables staged data assimilati...
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Open access
Oct 2026
Hybrid probabilistic modeling for reliability assessment of Mo-sul and Dohuk earth dams under geotechnical uncertainty
The conventional deterministic slope-stability analyses of earth dams cannot quantify failure probability arising from natural variability and measurement uncertainty in geotechnical parameters. In this study, a probabilistic framework is devised that combines Monte Carlo simulation (MCS) using limit-equilibrium analys...
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