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    Constructing a Site-Specific Multivariate Probability Distribution Using Sparse, Incomplete, and Spatially Variable (MUSIC-X) Data 

    Source: Journal of Engineering Mechanics:;2020:;Volume ( 146 ):;issue: 007
    Author(s): Jianye Ching; Kok-Kwang Phoon
    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 ...
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    Characterizing Uncertain Site-Specific Trend Function by Sparse Bayesian Learning 

    Source: Journal of Engineering Mechanics:;2017:;Volume ( 143 ):;issue: 007
    Author(s): Jianye Ching; Kok-Kwang Phoon
    Publisher: American Society of Civil Engineers
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    Measuring Similarity between Site-Specific Data and Records from Other Sites 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2020:;Volume ( 006 ):;issue: 002
    Author(s): Jianye Ching; Kok-Kwang Phoon
    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, ...
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    Constructing Site-Specific Multivariate Probability Distribution Model Using Bayesian Machine Learning 

    Source: Journal of Engineering Mechanics:;2019:;Volume ( 145 ):;issue: 001
    Author(s): Jianye Ching; Kok-Kwang Phoon
    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 ...
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    Impact of Autocorrelation Function Model on the Probability of Failure 

    Source: Journal of Engineering Mechanics:;2019:;Volume ( 145 ):;issue: 001
    Author(s): Jianye Ching; Kok-Kwang Phoon
    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 ...
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    Model Uncertainty of Eurocode 7 Approach for Bearing Capacity of Circular Footings on Dense Sand 

    Source: International Journal of Geomechanics:;2017:;Volume ( 017 ):;issue: 003
    Author(s): Chong Tang; Kok-Kwang Phoon
    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 ...
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    Evaluation of Stress-Dependent Methods for the Punch-Through Capacity of Foundations in Clay with Sand 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2019:;Volume ( 005 ):;issue: 003
    Author(s): Chong Tang; Kok-Kwang Phoon
    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 ...
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    Identification of Statistically Homogeneous Soil Layers Using Modified Bartlett Statistics 

    Source: Journal of Geotechnical and Geoenvironmental Engineering:;2003:;Volume ( 129 ):;issue: 007
    Author(s): Kok-Kwang Phoon; Ser-Tong Quek; Ping An
    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 ...
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    Bayesian Supervised Learning of Site-Specific Geotechnical Spatial Variability from Sparse Measurements 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2020:;Volume ( 006 ):;issue: 002
    Author(s): Yue Hu; Yu Wang; Tengyuan Zhao; Kok-Kwang Phoon
    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, ...
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    3D Probabilistic Site Characterization by Sparse Bayesian Learning 

    Source: Journal of Engineering Mechanics:;2020:;Volume ( 146 ):;issue: 012
    Author(s): Jianye Ching; Wen-Han Huang; Kok-Kwang Phoon
    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 ...
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