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Yun Yang

Hohai University

8 Focheng West Road

Jiangning District

Nanjing, 211100

China

SCHOLARLY PAPERS

6

DOWNLOADS

254

TOTAL CITATIONS

0

Scholarly Papers (6)

1.

Prediction of the seepage field for a groundwater inrush in a tunnel within a fault zone: Hybrid physically-informed neural network model with explicit uncertainty constraints via Monte Carlo dropout (MCHU-PINN)

Number of pages: 44 Posted: 26 Sep 2025
Hohai University, Hohai University, Hohai University, Hohai University, Hohai University, Hohai University, affiliation not provided to SSRN and Hohai University
Downloads 64 (942,565)

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Explicit uncertainty condition, Groundwater inflow prediction, fault zone, Physically-informed neural network (PINN), Uncertainty quantification, Monte Carlo dropout

Simultaneous Identification of a Contamination Source and Hydraulic Conductivity Based on a Multimodal Direct Forward Machine Learning Model

Number of pages: 43 Posted: 04 Jun 2025
affiliation not provided to SSRN, Hohai University, affiliation not provided to SSRN, affiliation not provided to SSRN, Hohai University and Hohai University
Downloads 33 (1,326,242)

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Groundwater contamination source identification, Groundwater contamination, Multimodal, Multimodal fusion

Simultaneous Identification of a Contamination Source and Hydraulic Conductivity Based on a Multimodal Direct Forward Machine Learning Model

Number of pages: 43 Posted: 19 Jun 2025
affiliation not provided to SSRN, Hohai University, affiliation not provided to SSRN, affiliation not provided to SSRN, Hohai University and Hohai University
Downloads 25 (1,430,393)

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Groundwater contamination source identification, Groundwater contamination, Multimodal, Multimodal fusion

3.

Prediction of the Seepage Field for a Groundwater Inrush in a Tunnel within a Fault Zone: Hybrid Physics-Informed Neural Network Model with Explicit Uncertainty Constraints Via Monte Carlo Dropout (Mchu-Pinn)

Number of pages: 45 Posted: 14 Aug 2025
Hohai University, Hohai University, Hohai University, Hohai University, Hohai University, Hohai University, affiliation not provided to SSRN and Hohai University
Downloads 53 (1,052,702)

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Explicit uncertainty condition, Groundwater inflow prediction, fault zone, physics-informed neural network (PINN), Uncertainty quantification, Monte Carlo dropout

4.

A Block-Based Modeling and Numerical Simulation Approach for Predicting and Controlling Groundwater Inrush in Deep Tunnels Through Fault-Karst Composite Strata

Number of pages: 45 Posted: 23 Sep 2025
Hohai University, Hohai University, Hohai University, Hohai University, Hohai University, Hohai University, Hohai University and affiliation not provided to SSRN
Downloads 27 (1,359,097)

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geological fault zone, refined geological structure modeling, tunnel groundwater inflow, Numerical simulation, grouting scenarios

Remediation of Phosphogypsum Leachate using a Limestone and Lanthanum-Modified Bentonite Permeable Reactive Barrier

Number of pages: 21 Posted: 19 Jan 2026
Hohai University, Hohai University, Hohai University, Hohai University, Hohai University and Hohai University
Downloads 17 (1,579,999)

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Phosphogypsum Leachate, Permeable Reaction Barrier, Lanthanum-modified Bentonite, Laboratory Test

Remediation of Phosphogypsum Leachate using a Limestone and Lanthanum-Modified Bentonite Permeable Reactive Barrier

Number of pages: 23 Posted: 07 Apr 2026
Hohai University, Hohai University, Hohai University, Hohai University, Hohai University and Hohai University
Downloads 9 (1,628,763)

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Phosphogypsum Leachate, Permeable Reaction Barrier, Lanthanum-modified Bentonite, Laboratory Test

6.

Prediction of the Seepage Field for a Groundwater Inrush in a Tunnel within a Fault Zone: Hybrid Physically-Informed Neural Network Model with Explicit Uncertainty Constraints Via Monte Carlo Dropout (Mchu-Pinn)

Number of pages: 37 Posted: 13 Aug 2025
Hohai University, Hohai University, Hohai University, Hohai University, Hohai University, Hohai University, affiliation not provided to SSRN and Hohai University
Downloads 26 (1,385,945)

Abstract:

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Explicit uncertainty condition, Groundwater inflow prediction, fault zone, Physically-informed neural network (PINN), Uncertainty quantification, Monte Carlo dropout