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Constructing a Site-Specific Multivariate Probability Distribution Using Sparse, Incomplete, and Spatially Variable (MUSIC-X) Data
Publisher: ASCE
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 ...
Characterizing Uncertain Site-Specific Trend Function by Sparse Bayesian Learning
Publisher: American Society of Civil Engineers
Measuring Similarity between Site-Specific Data and Records from Other Sites
Publisher: ASCE
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, ...
Constructing Site-Specific Multivariate Probability Distribution Model Using Bayesian Machine Learning
Publisher: American Society of Civil Engineers
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 ...
Impact of Autocorrelation Function Model on the Probability of Failure
Publisher: American Society of Civil Engineers
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 ...
Model Uncertainty of Eurocode 7 Approach for Bearing Capacity of Circular Footings on Dense Sand
Publisher: American Society of Civil Engineers
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 ...
Evaluation of Stress-Dependent Methods for the Punch-Through Capacity of Foundations in Clay with Sand
Publisher: American Society of Civil Engineers
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 ...
Identification of Statistically Homogeneous Soil Layers Using Modified Bartlett Statistics
Publisher: American Society of Civil Engineers
Abstract: Stationarity or statistical homogeneity is an important prerequisite for subsequent statistical analysis on a given section of a soil profile to be valid. The estimation of important soil statistics such as the variance ...
Bayesian Supervised Learning of Site-Specific Geotechnical Spatial Variability from Sparse Measurements
Publisher: ASCE
Abstract: Although the properties of geomaterials vary spatially, geotechnical site investigations often take sparse measurements from a limited number of locations. To estimate geotechnical properties at unsampled locations, ...
3D Probabilistic Site Characterization by Sparse Bayesian Learning
Publisher: ASCE
Abstract: In this paper, the sparse Bayesian learning (SBL) approach previously proposed for the characterization of one-dimensional (1D) soil spatial variability is extended to a more realistic three-dimensional (3D) setting. Direct ...