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Pan SI

Harbin Institute of Technology

92 West Dazhi Street

Nan Gang District

Harbin, 150001

China

SCHOLARLY PAPERS

8

DOWNLOADS

235

TOTAL CITATIONS

0

Scholarly Papers (8)

Probabilistic Seismic Performance Analysis of Railway Embankments on Spatially Variable Loose Deposit Slopes

Number of pages: 44 Posted: 23 Jul 2025
Harbin Institute of Technology, Harbin Institute of Technology, Harbin Institute of Technology, Harbin Institute of Technology and Harbin Institute of Technology
Downloads 32 (1,326,242)

Abstract:

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Loose deposit slope, Railway embankment, Spatial variability, Failure mechanism, Near-fault pulse-like ground motion

Probabilistic Seismic Performance Analysis of Railway Embankments on Spatially Variable Loose Deposit Slopes

Number of pages: 44 Posted: 17 Jun 2025
Harbin Institute of Technology, Harbin Institute of Technology, Harbin Institute of Technology, Harbin Institute of Technology and Harbin Institute of Technology
Downloads 29 (1,385,838)

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Loose deposit slope, Railway embankment, Spatial variability, Random finite difference modeling, Failure mechanism, Near-fault pulse-like ground motion

2.

Seismic risk assessment of railway embankments on spatially variable loose deposit slopes: A stacking ensemble machine learning–based approach

Number of pages: 38 Posted: 09 Sep 2025
Harbin Institute of Technology, Harbin Institute of Technology, Harbin Institute of Technology, Harbin Institute of Technology and Harbin Institute of Technology
Downloads 47 (1,133,231)

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Railway embankments, Loose deposit slopes, Spatial variability, Seismic risk, Stacking ensemble machine learning

3.

Probabilistic Demand Models and Fragility Analysis of Railway Embankments Subjected to Multi-Pulse Ground Motions

Number of pages: 33 Posted: 19 Sep 2024
Harbin Institute of Technology, Harbin Institute of Technology, Harbin Institute of Technology, Harbin Institute of Technology and Harbin Institute of Technology
Downloads 45 (1,145,425)

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Probabilistic seismic demand model, Seismic fragility, Multi-pulse ground motion, Railway embankment, Intensity measures

4.

Machine Learning-Based Predictors for Maximum Pile Bending Moment of the Soil-Pile-Superstructure System in Liquefiable Soils

Number of pages: 41 Posted: 20 Apr 2023
Harbin Institute of Technology, Harbin Institute of Technology, Harbin Institute of Technology, Harbin Institute of Technology and Harbin Institute of Technology
Downloads 37 (1,222,651)

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Machine learning, liquefaction, Soil-pile-superstructure system, Modeling uncertainties, Maximum pile bending moment prediction

5.

Stacked Machine Learning-Based Probabilistic Seismic Demand and Risk Assessment of Railway Embankments with Variable Slopes

Number of pages: 38 Posted: 21 Apr 2025
Harbin Institute of Technology, Harbin Institute of Technology, Harbin Institute of Technology, Harbin Institute of Technology and Harbin Institute of Technology
Downloads 26 (1,372,601)

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Stacked machine learning, Probabilistic seismic demand model, Seismic failure probability, Railway embankment, Shapley Additive Explanations

6.

Progressive failure and damage zoning of railway embankment under sequential normal fault dislocation and seismic excitation: Centrifuge shaking table insights

Number of pages: 51 Posted: 19 May 2026
Harbin Institute of Technology, Harbin Institute of Technology, Harbin Institute of Technology, Harbin Institute of Technology, Harbin Institute of Technology and Harbin Institute of Technology
Downloads 9 (1,561,096)

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Embankment slope stability, Seismic wave propagation, Normal fault dislocation, Sequential loading, Damage zoning, Centrifuge shaking table test

7.

Quantifying the seismic failure probability of railway embankments considering uncertainty in near-fault pulse parameters

Number of pages: 51 Posted: 04 Jun 2026
Harbin Institute of Technology, affiliation not provided to SSRN, Harbin Institute of Technology, Harbin Institute of Technology, Western University and Harbin Institute of Technology
Downloads 7

Abstract:

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Railway embankments, Pulse-like ground motions, Pulse parameter, Seismic fragility, Numerical simulation

8.

Reliability assessment of tunnel deformation in karst regions with spatially variable surrounding rock: A CNN–dropout approach with uncertainty quantification

Number of pages: 27 Posted: 01 Jul 2026
Harbin Institute of Technology, Harbin Institute of Technology, Harbin Institute of Technology, Harbin Institute of Technology, Harbin Institute of Technology and Harbin Institute of Technology
Downloads 3

Abstract:

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Concealed karst, Tunnel deformation, Reliability analysis, Spatial variability, Convolutional neural network, Uncertainty quantification