Search Results - "Ching, Jianye"

Constructing Site-Specific Multivariate Probability Distribution Model Using Bayesian Machine Learning by Ching, Jianye, Phoon, Kok-Kwang

“…AbstractThis study proposes a novel data-driven Bayesian machine learning method for constructing site-specific multivariate probability distribution models in…”
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Simulation of three-dimensional random field conditioning on incomplete site data by Yang, Zhiyong, Ching, Jianye

“…This paper proposes a novel method for simulating a three-dimensional (3D) random field conditional on site data. It is based on the assumption of separable…”
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Constructing a Site-Specific Multivariate Probability Distribution Using Sparse, Incomplete, and Spatially Variable (MUSIC-X) Data by Ching, Jianye, Phoon, Kok-Kwang

“…AbstractIt is important to be able to construct a site-specific multivariate probability density function (PDF) of soil parameters based on limited and…”
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Constructing Quasi-Site-Specific Multivariate Probability Distribution Using Hierarchical Bayesian Model by Ching, Jianye, Wu, Stephen, Phoon, Kok-Kwang

“…AbstractIn geotechnical engineering, it is challenging to construct a site-specific multivariate probability distribution model for soil/rock properties…”
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Characterizing Uncertain Site-Specific Trend Function by Sparse Bayesian Learning by Ching, Jianye, Phoon, Kok-Kwang

“…AbstractThis paper addresses the statistical uncertainties associated with the estimation of a depth-dependent trend function and spatial variation about the…”
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Impact of Autocorrelation Function Model on the Probability of Failure by Ching, Jianye, Phoon, Kok-Kwang

“…AbstractThe scale of fluctuation (SOF) of a spatially variable soil property has been known to be the most important parameter that characterizes the effect of…”
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A Hierarchical Bayesian Similarity Measure for Geotechnical Site Retrieval by Sharma, Atma, Ching, Jianye, Phoon, Kok-Kwang

“…AbstractGeotechnical site retrieval refers to the quantitative identification and extraction of sites similar to a given target site from predocumented generic…”
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Application of the transitional Markov chain Monte Carlo algorithm to probabilistic site characterization by Ching, Jianye, Wang, Jiun-Shiang

“…This paper applies the transitional Markov chain Monte Carlo (TMCMC) algorithm to probabilistic site characterization problems. The purpose is to characterize…”
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Quasi-site-specific soil property prediction using a cluster-based hierarchical Bayesian model by Wu, Stephen, Ching, Jianye, Phoon, Kok-Kwang

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Correlations among some clay parameters — the multivariate distribution by JIANYE CHING, PHOON, Kok-Kwang

“…This paper constructs a 10-dimensional multivariate probability distribution covering 10 clay parameters. The parameters are the liquid limit, plasticity index…”
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Transformations and correlations among some clay parameters — the global database by JIANYE CHING, PHOON, Kok-Kwang

“…This study compiles a large database of 10 clay parameters (labeled as CLAY/10/7490) from 251 studies, covering clay data from 30 regions or countries…”
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Scale of Fluctuation for Spatially Varying Soils: Estimation Methods and Values by Cami, Brigid, Javankhoshdel, Sina, Phoon, Kok-Kwang, Ching, Jianye

“…AbstractSpatial variability is one of the major sources of uncertainty in geotechnical applications. This variability is characterized customarily by the scale…”
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3D Probabilistic Site Characterization by Sparse Bayesian Learning by Ching, Jianye, Huang, Wen-Han, Phoon, Kok-Kwang

“…AbstractIn this paper, the sparse Bayesian learning (SBL) approach previously proposed for the characterization of one-dimensional (1D) soil spatial…”
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Unpacking data-centric geotechnics by Phoon, Kok-Kwang, Ching, Jianye, Cao, Zijun

“…The purpose of this paper (presented online as a keynote lecture at the 25th Annual Indonesian Geotechnical Conference on 10 Nov 2021) is to broadly…”
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Transitional Markov Chain Monte Carlo Method for Bayesian Model Updating, Model Class Selection, and Model Averaging by Ching, Jianye, Chen, Yi-Chu

“…This paper presents a newly developed simulation-based approach for Bayesian model updating, model class selection, and model averaging called the transitional…”
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Simulating Spatial Averages of Stationary Random Field Using the Fourier Series Method by Jha, Sanjay Kumar, Ching, Jianye

“…AbstractA Fourier series method (FSM) of simulating spatial averages of stationary Gaussian random fields is presented. The FSM is able to simulate spatial…”
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Geotechnical uncertainty, modeling, and decision making by Phoon, Kok-Kwang, Cao, Zi-Jun, Ji, Jian, Leung, Yat Fai, Najjar, Shadi, Shuku, Takayuki, Tang, Chong, Yin, Zhen-Yu, Ikumasa, Yoshida, Ching, Jianye

“…Modeling only constitutes one aspect of decision making. The prevailing limitation of applying modeling to practice is the absence of explicit consideration of…”
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Quasi-site-specific prediction for deformation modulus of rock mass by Ching, Jianye, Phoon, Kok-Kwang, Ho, Yuan-Hsun, Weng, Meng-Chia

“…A generic rock mass database consisting of nine parameters is compiled from 225 studies. The nine parameters are the deformation modulus, elastic modulus,…”
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Identification of sample path smoothness in soil spatial variability by Ching, Jianye, Phoon, Kok-Kwang, Stuedlein, Armin W., Jaksa, Mark

“…•It is shown that sample path smoothness and scale of fluctuation (SOF) are two different characteristics.•Classical auto-correlation models are not suitable…”
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Data-Drive Site Characterization for Benchmark Examples: Sparse Bayesian Learning versus Gaussian Process Regression by Ching, Jianye, Yoshida, Ikumasa

“…AbstractIn this paper, two data-drive site characterization methods, the sparse Bayesian learning (SBL) method and the Gaussian process regression (GPR)…”
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