Joint States of Information from Different Probabilistic Calibrations of Undrained Shear Strength of Submarine Clays

The remolded undrained shear strength of submarine clays is a key parameter in the analysis of retrogressive-type of clay landslides. This is correlated with the liquidity index, for which the quantification of uncertainties becomes of great value for a more rational assessment of the stability of this type of structures. The influence of the uncertainty on the predictions of an empirical relationship between remolded undrained shear strength and liquidity index is discussed in this work, by utilizing the concept of joint states of information proposed by Tarantola (1987), as a generalization of the Bayesian paradigm for the solution of inverse problems. By using Tarantola's approach, this study aims at accounting for the site dependency effect when comparing a global and a local dataset, which is a characteristic that is not captured by traditional probabilistic methods.