☆ 4.7 Article

BayLUP: A Bayesian framework for conditional random field simulation of the liquefaction-induced settlement considering statistical uncertainty and model error

GONDWANA RESEARCH (2023)

Related references

Note: Only part of the references are listed.

Article Engineering, Geological

Uncertainty quantification of landslide runout motion considering soil interdependent anisotropy and fabric orientation

Guotao Ma et al.

Summary: This paper investigates the impact of soil interdependent anisotropy and fabric orientation on landslide runout motions, finding that the rotation of soil layer orientation significantly affects the runout motion. The study highlights the importance of considering the orientation of soil stratification in assessing the post-failure behavior of a landslide.

LANDSLIDES (2022)

Add to Collection

Article Engineering, Geological

Rockhead profile simulation using an improved generation method of conditional random field

Liang Han et al.

Summary: In this study, the conditional random field (CRF) was improved to simulate rockhead profiles. With the assistance of Bayesian theory, the proposed method utilizes measurement data and prior information to handle uncertainty. The method provides reasonable estimations of rockhead depth at various locations and reduces subjectivity in determining prior mean.

JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING (2022)

Add to Collection

Article Engineering, Geological

Stochastic Assessment of Landslide Influence Zone by Material Point Method and Generalized Geotechnical Random Field Theory

Guotao Ma et al.

Summary: A probabilistic framework is proposed in this paper to evaluate landslide hazard zoning by considering the effects of heterogeneous soil properties. The material point method is used to simulate large deformations during landslide failure. Spatial variation in soil shear strength parameters is modeled using random fields and discretized with the Cholesky matrix decomposition method. The framework also quantitatively evaluates the level of disaster for facilities or structures located near slopes.

INTERNATIONAL JOURNAL OF GEOMECHANICS (2022)

Add to Collection

Article Engineering, Civil

Effects of spatial autocorrelation structure for friction angle on the runout distance in heterogeneous sand collapse

Guotao Ma et al.

Summary: This paper proposes a stochastic method for analyzing the runout distance of sand collapse considering the spatial variability of shear strength. The method integrates random field theory and generalized interpolation material point method, and uses a Monte-Carlo simulation basis. The results show that deterministic analysis may underestimate the runout distance, while a heterogeneous model provides more realistic results. The uncertainty of the runout distance increases with the increase in the coefficient of variation of friction angle.

TRANSPORTATION GEOTECHNICS (2022)

Add to Collection

Article Computer Science, Interdisciplinary Applications

B-PINNs: Bayesian physics-informed neural networks for forward and inverse PDE problems with noisy data

Liu Yang et al.

Summary: The paper introduces a Bayesian physics-informed neural network (B-PINN) for solving nonlinear problems, and conducts experimental comparisons on posterior estimation methods and uncertainty quantification. The KL model is as accurate and faster than BNN, but cannot be applied to high-dimensional problems.

JOURNAL OF COMPUTATIONAL PHYSICS (2021)

Add to Collection

Article Engineering, Mechanical

Bayesian analysis of hierarchical random fields for material modeling

Sebastian Geyer et al.

Summary: This paper presents analytical expressions for Bayesian analysis of hierarchical Gaussian random fields, discussing their application to non-Gaussian random fields and characteristic value estimation for material parameters. The method is illustrated on two spatial data sets of concrete and soil strength parameters.

PROBABILISTIC ENGINEERING MECHANICS (2021)

Add to Collection

Article Engineering, Mechanical

3D Probabilistic Site Characterization by Sparse Bayesian Learning

Jianye Ching et al.

JOURNAL OF ENGINEERING MECHANICS (2020)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Comparative study of conditional methods in slope reliability evaluation

L. Huang et al.

COMPUTERS AND GEOTECHNICS (2020)

Add to Collection

Article Geosciences, Multidisciplinary

Estimating horizontal scale of fluctuation with limited CPT soundings

Jianye Ching et al.

GEOSCIENCE FRONTIERS (2018)

Add to Collection

Article Engineering, Geological

Bayesian updating of slope reliability in spatially variable soils with in-situ measurements

Shui-Hua Jiang et al.

ENGINEERING GEOLOGY (2018)

Add to Collection

Article Engineering, Geological

CPT-Based Probabilistic Characterization of Three-Dimensional Spatial Variability Using MLE

Te Xiao et al.

JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING (2018)

Add to Collection

Article Engineering, Civil

Optimal Sampling Placement in a Gaussian Random Field Based on Value of Information

Ikumasa Yoshida et al.

ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING (2018)

Add to Collection

Article Engineering, Geological

Spatial Variability of CPT Parameters and Silty Fines in Liquefiable Beach Sands

Taeho Bong et al.

JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING (2017)

Add to Collection

Article Engineering, Geological

Learning soil parameters and updating geotechnical reliability estimates under spatial variability - theory and application to shallow foundations

Iason Papaioannou et al.

GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS (2017)

Add to Collection

Article Engineering, Geological

Calibration of empirical models considering model fidelity and model robustness - Focusing on predictions of liquefaction-induced settlements

Wenping Gong et al.

ENGINEERING GEOLOGY (2016)

Add to Collection

Article Engineering, Geological

Bayesian identification of random field model using indirect test data

Mi Tian et al.

ENGINEERING GEOLOGY (2016)

Add to Collection

Article Engineering, Geological

Site-specific characterization of soil properties using multiple measurements from different test procedures at different locations - A Bayesian sequential updating approach

Zi-Jun Cao et al.

ENGINEERING GEOLOGY (2016)

Add to Collection

Article Engineering, Geological

Probabilistic and spatial assessment of liquefaction-induced settlements through multiscale random field models

Qiushi Chen et al.

ENGINEERING GEOLOGY (2016)

Add to Collection

Article Engineering, Mechanical

Impact of Statistical Uncertainty on Geotechnical Reliability Estimation

Jianye Ching et al.

JOURNAL OF ENGINEERING MECHANICS (2016)

Add to Collection

Article Engineering, Geological

CPT-Based Evaluation of Liquefaction Potential Accounting for Soil Spatial Variability at Multiple Scales

Qiushi Chen et al.

JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING (2016)

Add to Collection

Article Engineering, Geological

Using Conditioned Random Field to Characterize the Variability of Geologic Profiles

X. Y. Li et al.

JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING (2016)

Add to Collection

Article Engineering, Geological

Densification of Granular Soils Using Conventional and Drained Timber Displacement Piles

Armin W. Stuedlein et al.

JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING (2016)

Add to Collection

Article Engineering, Mechanical

Impact of Statistical Uncertainty on Geotechnical Reliability Estimation

Jianye Ching et al.

JOURNAL OF ENGINEERING MECHANICS (2016)

Add to Collection

Article Engineering, Geological

Simplified procedure for estimation of liquefaction-induced settlement and site-specific probabilistic settlement exceedance curve using cone penetration test (CPT)

C. Hsein Juang et al.

CANADIAN GEOTECHNICAL JOURNAL (2013)

Add to Collection

Article Engineering, Geological

Bayesian Approach for Probabilistic Site Characterization Using Cone Penetration Tests

Zijun Cao et al.

JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING (2013)

Add to Collection

Article Engineering, Geological

Investigation of the reduction in uncertainty due to soil variability when conditioning a random field using Kriging

M. Lloret-Cabot et al.

GEOTECHNIQUE LETTERS (2012)

Add to Collection

Article Engineering, Geological

Bayesian approach for probabilistic characterization of sand friction angles

Yu Wang et al.

ENGINEERING GEOLOGY (2010)

Add to Collection

Article Engineering, Geological

Liquefaction risk assessment using geostatistics to account for soil spatial variability

Jack W. Baker et al.

JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING (2008)

Add to Collection

Article Engineering, Geological

Spatial variability of liquefaction potential in regional mapping using CPT and SPT data

Jennifer A. Lenz et al.

SOIL DYNAMICS AND EARTHQUAKE ENGINEERING (2007)

Add to Collection

Article Engineering, Civil

Liquefaction hazard mapping with LPI in the Greater Oakland, California, area

Thomas L. Holzer et al.

EARTHQUAKE SPECTRA (2006)

Add to Collection

Article Engineering, Geological

Liquefaction hazard mapping - Statistical and spatial characterization of susceptible units

Laurie G. Baise et al.

JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING (2006)

Add to Collection

Article Engineering, Geological

Simplified cone penetration test-based method for evaluating liquefaction resistance of soils

CH Juang et al.

JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING (2003)

Add to Collection

Article Engineering, Geological

Estimating liquefaction-induced ground settlements from CPT for level ground

G Zhang et al.

CANADIAN GEOTECHNICAL JOURNAL (2002)

Add to Collection

Article Engineering, Geological

Liquefaction resistance of soils: Summary report from the 1996 NCEER and 1998 NCEER/NSF workshops on evaluation of liquefaction resistance of soils

TL Youd et al.

JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING (2001)

Add to Collection

© Peeref 2019-2024. All rights reserved.