Abstract: It is important to be able to construct a site-specific multivariate probability density function (PDF) of soil parameters based on limited and incomplete site-specific investigation data alone. This allows the unique ...

Abstract: Practical undrained shear strength

Abstract: This paper proposes a Bayesian method of measuring the similarity between a set of site-specific data and individual records in a generic geotechnical database. All data are assumed to be multivariate, uncertain, unique, ...

Abstract: This study proposes a novel data-driven Bayesian machine learning method for constructing site-specific multivariate probability distribution models in geotechnical engineering. There is a trade-off for constructing a ...

Abstract: The scale of fluctuation (SOF) of a spatially variable soil property has been known to be the most important parameter that characterizes the effect of spatial averaging, whereas the type of the autocorrelation model ...

Abstract: Geotechnical design codes have been migrating toward reliability-based design (RBD) concepts. ISO 2394 identified the characterization of model uncertainty as one of the critical elements in the geotechnical RBD process. ...

Abstract: This paper uses finite-element formulation of the lower bound theorem to determine the bearing capacity of ring foundations on dense sand. The results are validated with the plasticity solutions, numerical analyses, ...

Abstract: This paper presents a critical evaluation of the model factor M = qu,m/qu,c for Eurocode 7 calculating the bearing capacity of circular footings on dense sand, where qu,m = measured capacity and qu,c = Eurocode 7 calculated ...

Abstract: This paper compiled 159 centrifuge tests for foundations in clay with interbedded sand where punch-through failure was observed. The accuracy of initial- and failure-stress-dependent methods was quantified by the mean and ...