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) obtained from piezocone penetration tests (CPTU) has been widely applied in a series of geotechnical issues including the identification of soil stratum, estimation of soil properties and liquefaction analysis.

To provide spatial statistics of data using Gaussian random field theory.

Second, the uncertainties of the bearing capacity factor prediction for all models are compared and significant differences are revealed.

Due to the consideration of parameter and model uncertainties, a measure for the total variation of the model response is achieved.

The new method is readily adopted for engineers to quickly estimate the SWCC and relative permeability of granular soil under different initial dry densities.

This paper evaluates the uncertainties and quality of bearing capacity factor prediction models of shallow foundations.

It has been found that the quality of the model decreases as the friction angle increases.

Site investigation is also the key feature that distinguishes geotechnical from structural design practice.Deterministic Analysis of Consolidation Problem in Natural Alluvial Deposits -- Bearing Capacity of Strip Footings on Spatially Random Soils Using Sparse Polynomial Chaos Expansion -- Spatial Variability of Aperture in a Rough-Walled Crack in Surface Soil -- Parameter Estimation and Uncertainty Analysis Incorporating Engineering Judgement by Bayesian Inversion -- Site Response Effects on Partially Ergodic PSHA -- A Case Study of Alternative Site Response Explanatory Variables in Parkfield, California -- Estimating Repair Cost and Downtime Due to Earthquake-Induced Damage at Container Ports -- Effect of Fabric Anisotropy on Seismic Response of Strip Foundations -- Seismic Response of Reinforced Soil Retaining Walls : Is PGA-Based Design Adequate?-- Performance Based Assessment of Dynamic Soil-Structure Interaction Effects on Seismic Response of Building Frames -- Effects of Slenderness Ratio on Seismic Behavior of Vertical Micropiles -- Multichannel Analysis of Surface Waves (MASW) at the National Geotechnical Engineering Site at Texas A & M University (NGES/TAMU) -- Probabilistic Compressible Soil Thickness from Field Settlement Data -- A Novel Application of Risk Analysis Methods to Evaluate the Future Viability of Two Large Concrete Stormwater Detention Tanks -- Risk Management for Large-Scale Foundation Design and Construction in Challenging Karst Geology -- Effect of Spatial Variability and Model Uncertainty on the Design of Sockets in Weak Carbonate Rocks -- CPT-Based Probabilistic Characterization of Effective Friction Angle of Sand -- Prediction of Embankment Settlement from PCPT Measurements : A Case Study at Courtableau Bridge -- Geochemical and Geotechnical Features of Terra Rossa in Karst Areas of Southern Appalachians -- Characterizing Spatial Variability of Cone Penetration Testing through Geostatistical Evaluation -- Case Study A Landslide on Coastal Slope in Bellingham Bay -- Developing Resistance Factors for Design of Piles in Sand -- Probabilistic Slope Stability Analysis of a 300 m High Embankment Dam -- Identification of Hazardous Loose Landslide Deposits and Scars Formed during the 2008 Wenchuan Earthquake -- Bounding the Probability of Failure for Levee Systems -- Breaching of Changkai Levee in June 2010 in Jiangxi Province, China -- Distinct Element Modelling for High Rock Slopes in Static and Dynamic Conditions : A Case Study -- Reliability Analysis of Stone Columns for Ground Improvement -- Application of SCPTU for Assessing Liquefaction Potential of the 1976 Tangshan Earthquake, China -- Characterizing the Liquefaction Potential of the Pleistocene-Age Wando Formation in the Charleston Area, South Carolina -- Influence of rd on Liquefaction Triggering Evaluation at Two Case History Sites -- Evaluating Bias of Liquefaction-Induced Settlement Methods for Performance-Based Design -- Estimating CSRs for Evaluating Liquefaction That Are Consistent with Building Code Design Spectra -- Potential Differences between Time Series and Random Vibration Theory Site Response -- Understanding Uncertainty : Assessment and Management of Geotechnical Risk in Tunnel Construction -- Communicating and Managing Risk in Geotechnical Engineering Practice -- Reliability Analysis of Deep Excavation Based on a Semi-Empirical Approach -- Jet-Grouting in Cohesive Soils for Ground Improvement in Hawaii -- Risk Assessment of Success Dam, California : Evaluation of Operating Restrictions as an Interim Measure to Mitigate Earthquake Risk -- Some Observations on Reliability-Based Design of Rock Footings -- A Practical LRFD Design Method for Deep Foundations Using Side Friction and End Bearing -- Reliability-Based Design of Shallow Foundations in Cohesionless Soils under Compression Loading : Serviceability Limit State -- Quantile Framework for Simplified Geotechnical Reliability-Based Design -- Reliability Assessment of Eurocode 7 Spread Foundations Design Methodology -- Deterministic and Probabilistic Seismic Analyses of a Slope-Footing System -- A Comparative Study of Drilled Shaft Design Using LRFD and Expanded RBD -- Limit States Design of Pile Foundations in Clay under Combined Action of Transient Uplift Loads and Frost Jacking -- Safety Margin in Design of Pile-Supported Structural Slabs for Frost Action -- Statistical Characterization and Stochastic Simulation of Load-Displacement Behavior of Shallow Footings -- Reliability Based Design of Base Heave Stability in Wide Excavations -- Probabilistic Analysis of Shallow Foundations on Rocks Obeying Hoek-Brown Failure Criterion.Two main activities in this direction are highlighted below.Site investigation and the interpretation of site data are necessary aspects of sound geotechnical practice.He was elected Fellow of the Academy of Engineering Singapore (FSEng) in 2012. Phoon received his BEng (First Class Honours) and MEng from the National University of Singapore and his Ph D from Cornell University where his research on reliability-based design has influenced recent codes and specifications, including the 4th edition of ISO2315, (CRC Press/Balkema, 2016). Phoon’s recent research efforts have been directed towards injecting greater realism into geotechnical reliability-based design (RBD), particularly in the characterization of multivariate soil databases and in the development of information-sensitive yet practical RBD that links data explicitly to design. It is easier for engineers to present site investigation as an investment rather than a cost to clients when project needs are complemented by a quantitative notion of “value of information”.


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