This study investigates the geotechnical reliability of river levees along the Tagliamento River through a probabilistic stability assessment. Probabilistic distributions of levee features are derived compiling a comprehensive geodatabase that integrated data of previous geotechnical investigations campaign and topographic survey. CPT parameters were statistically processed using MATLAB to evaluate stratigraphy and spatial variability. These datasets were used to estimate geotechnical design parameters and classify soil behavior along the levee alignment. The final stage of the research involves performing levee slope-stability analyses under different hydraulic loading scenarios using numerical geotechnical software such as D-Stability. These analyses will be combined with statistical variability in soil parameters to estimate the probability of failure and classify levee segments by reliability. The proposed thesis will contribute to a comprehensive understanding of the Tagliamento River levee system, enabling more informed decision-making for flood risk management, maintenance planning, and reinforcement strategies.

This study investigates the geotechnical reliability of river levees along the Tagliamento River through a probabilistic stability assessment. Probabilistic distributions of levee features are derived compiling a comprehensive geodatabase that integrated data of previous geotechnical investigations campaign and topographic survey. CPT parameters were statistically processed using MATLAB to evaluate stratigraphy and spatial variability. These datasets were used to estimate geotechnical design parameters and classify soil behavior along the levee alignment. The final stage of the research involves performing levee slope-stability analyses under different hydraulic loading scenarios using numerical geotechnical software such as D-Stability. These analyses will be combined with statistical variability in soil parameters to estimate the probability of failure and classify levee segments by reliability. The proposed thesis will contribute to a comprehensive understanding of the Tagliamento River levee system, enabling more informed decision-making for flood risk management, maintenance planning, and reinforcement strategies.

Database di indagini geotecniche e analisi statistica per la costruzione delle curve di fragilità di due sezioni arginali del fiume Tagliamento, Italia

MUSA ZAI, HABIB RAHMAN
2025/2026

Abstract

This study investigates the geotechnical reliability of river levees along the Tagliamento River through a probabilistic stability assessment. Probabilistic distributions of levee features are derived compiling a comprehensive geodatabase that integrated data of previous geotechnical investigations campaign and topographic survey. CPT parameters were statistically processed using MATLAB to evaluate stratigraphy and spatial variability. These datasets were used to estimate geotechnical design parameters and classify soil behavior along the levee alignment. The final stage of the research involves performing levee slope-stability analyses under different hydraulic loading scenarios using numerical geotechnical software such as D-Stability. These analyses will be combined with statistical variability in soil parameters to estimate the probability of failure and classify levee segments by reliability. The proposed thesis will contribute to a comprehensive understanding of the Tagliamento River levee system, enabling more informed decision-making for flood risk management, maintenance planning, and reinforcement strategies.
2025
Geotechnical Investigation Database and Statistical Analysis for Fragility Curve Development of two sections of Tagliamento River, Italy
This study investigates the geotechnical reliability of river levees along the Tagliamento River through a probabilistic stability assessment. Probabilistic distributions of levee features are derived compiling a comprehensive geodatabase that integrated data of previous geotechnical investigations campaign and topographic survey. CPT parameters were statistically processed using MATLAB to evaluate stratigraphy and spatial variability. These datasets were used to estimate geotechnical design parameters and classify soil behavior along the levee alignment. The final stage of the research involves performing levee slope-stability analyses under different hydraulic loading scenarios using numerical geotechnical software such as D-Stability. These analyses will be combined with statistical variability in soil parameters to estimate the probability of failure and classify levee segments by reliability. The proposed thesis will contribute to a comprehensive understanding of the Tagliamento River levee system, enabling more informed decision-making for flood risk management, maintenance planning, and reinforcement strategies.
GIS
Levee Stability
FORM analysis
Spatial Variability
MATLAB
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/107189