Probabilistic assessment of inner slope stability in dikes

Gaining insight in the difference between the semi-probabilistic and probabilistic estimates of the reliability index for inner slope stability with overtopping

Master Thesis (2023)
Author(s)

C. Broman (TU Delft - Civil Engineering & Geosciences)

Contributor(s)

M. Kok – Mentor (TU Delft - Civil Engineering & Geosciences)

C. Mai Van – Graduation committee member (TU Delft - Civil Engineering & Geosciences)

M. Korff – Graduation committee member (Geo-engineering)

A. Broere – Graduation committee member (WSP)

M. van der Krogt – Graduation committee member (Deltares)

Faculty
Civil Engineering & Geosciences
More Info
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Publication Year
2023
Language
English
Graduation Date
27-10-2023
Awarding Institution
Delft University of Technology
Programme
Civil Engineering, Hydraulic Engineering
Faculty
Civil Engineering & Geosciences
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Abstract

After overtopping, the most common failure mechanism in the world that leads to a dike breach is the instability of the inner slope. Two stability calculations are required for the semi-probabilistic assessment of inner slope stability. One calculation is without significant overtopping and the other calculation is with significant overtopping whereby the dike is saturated. The semi-probabilistic assessment method with overtopping is prescribed in a KPR factsheet, but is not verified by calibration calculations or probabilistic calculations. After performing semi-probabilistic and probabilistic calculations at Jaarsveld-Vreeswijk (JAV) in the Netherlands, there is an inconsistency between the semi-probabilistic and probabilistic estimates of the reliability index for inner slope stability with overtopping. Semi-probabilistic and probabilistic calculations have been performed to gain more insight in the inconsistency between the semi-probabilistic and probabilistic estimates of the reliability index for inner slope stability with overtopping. Based on the results, it is recommended to perform a calibration study for inner slope stability with overtopping to obtain a better estimate of the failure probability based on semi-probabilistic calculations.

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