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Self‐Sensing Cementitious Composites with Hierarchical Carbon Fiber‐Carbon Nanotube Composite Fillers for Crack Development Monitoring of a Maglev Girder

Small (Weinheim an der Bergstrasse, Germany), 2023-03, Vol.19 (9), p.e2206258-n/a

2023

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Bayesian Modeling Approach for Forecast of Structural Stress Response Using Structural Health Monitoring Data

Journal of structural engineering (New York, N.Y.), 2018-09, Vol.144 (9)

2018

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Modeling of the hysteretic behavior of nonlinear particle damping by Fourier neural network with transfer learning

Mechanical systems and signal processing, 2024-02, Vol.208, p.111006, Article 111006

2024

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A Bayesian Probabilistic Approach for Acoustic Emission‐Based Rail Condition Assessment

Computer-aided civil and infrastructure engineering, 2018-01, Vol.33 (1), p.21-34

2018

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Improved Most Likely Heteroscedastic Gaussian Process Regression via Bayesian Residual Moment Estimator

IEEE transactions on signal processing, 2020, Vol.68, p.3450-3460

2020

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A Unified Label Noise-Tolerant Framework of Deep Learning-Based Fault Diagnosis via a Bounded Neural Network

IEEE transactions on instrumentation and measurement, 2024, Vol.73, p.1-15

2024

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An Online Predictive Energy Management Strategy for Multi-Mode Plug-in Hybrid Electric Vehicle With Mode Transition Schedule Optimization

IEEE/ASME transactions on mechatronics, 2024-06, Vol.29 (3), p.1972-1984

2024

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Structural modal identification and health monitoring of building structures using self-sensing cementitious composites

Smart materials and structures, 2020-05, Vol.29 (5), p.55013

2020

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Intelligent recognition of joints and fissures in tunnel faces using an improved mask region‐based convolutional neural network algorithm

Computer-aided civil and infrastructure engineering, 2024-04, Vol.39 (8), p.1123-1142

2024

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A New Approach for Interval Dynamic Analysis of Train-Bridge System Based on Bayesian Optimization

Journal of engineering mechanics, 2020-05, Vol.146 (5)

2020

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Seismic analysis of 3D train–wheel–bridge–bearing systems: Modeling

Earthquake engineering & structural dynamics, 2023-04, Vol.52 (4), p.1205-1231

2023

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A sample size-dependent prior strategy for bridging the Bayesian-frequentist gap in point null hypothesis testing

Communications in statistics. Theory and methods, 2024-11, Vol.53 (21), p.7733-7745

2024

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Vibration control of structures against near‐field earthquakes by using a novel hydro‐pneumatic semi‐active resettable device

Structural control and health monitoring, 2022-11, Vol.29 (11), p.n/a

2022

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Seismic analysis of 3D train–wheel–bridge–bearing systems: Illustrative examples

Earthquake engineering & structural dynamics, 2023-04, Vol.52 (4), p.1252-1266

2023

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Gross outlier removal and fault data recovery for SHM data of dynamic responses by an annihilating filter‐based Hankel‐structured robust PCA method

Structural control and health monitoring, 2022-12, Vol.29 (12), p.n/a

2022

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Towards probabilistic data‐driven damage detection in SHM using sparse Bayesian learning scheme

Structural control and health monitoring, 2022-11, Vol.29 (11), p.n/a

2022

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Measurement and Forecasting of High-Speed Rail Track Slab Deformation under Uncertain SHM Data Using Variational Heteroscedastic Gaussian Process

Sensors (Basel, Switzerland), 2019-07, Vol.19 (15), p.3311

2019

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A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations

Journal of computational physics, 2022-08, Vol.462, p.111260, Article 111260

2022

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A deep learning framework for adaptive compressive sensing of high‐speed train vibration responses

Structural control and health monitoring, 2022-08, Vol.29 (8), p.n/a

2022

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Wayside Detection of Wheel Minor Defects in High-Speed Trains by a Bayesian Blind Source Separation Method

Sensors (Basel, Switzerland), 2019-09, Vol.19 (18), p.3981

2019

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A Machine Vision System Based on Driving Recorder for Automatic Inspection of Rail Curvature

IEEE sensors journal, 2021-05, Vol.21 (10), p.11291-11300

2021

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A Supervised Artificial Neural Network-Assisted Modeling of Magnetorheological Elastomers in Tension-Compression Mode

IEEE transactions on magnetics, 2019-12, Vol.55 (12), p.1-8

2019

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In-situ synthesizing carbon nanotubes on cement to develop self-sensing cementitious composites for smart high-speed rail infrastructures

Nano today, 2022-04, Vol.43, p.101438, Article 101438

2022

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Temperature effect on vibration properties of civil structures: a literature review and case studies

Journal of civil structural health monitoring, 2012-05, Vol.2 (1), p.29-46

2012

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Stochastic subspace identification for output-only modal analysis: application to super high-rise tower under abnormal loading condition

Earthquake engineering & structural dynamics, 2013-04, Vol.42 (4), p.477-498

2013

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Self‐Sensing Cementitious Composites with Hierarchical Carbon Fiber‐Carbon Nanotube Composite Fillers for Crack Development Monitoring of a Maglev Girder

Bayesian Modeling Approach for Forecast of Structural Stress Response Using Structural Health Monitoring Data

Modeling of the hysteretic behavior of nonlinear particle damping by Fourier neural network with transfer learning

A Bayesian Probabilistic Approach for Acoustic Emission‐Based Rail Condition Assessment

Improved Most Likely Heteroscedastic Gaussian Process Regression via Bayesian Residual Moment Estimator

A Unified Label Noise-Tolerant Framework of Deep Learning-Based Fault Diagnosis via a Bounded Neural Network

An Online Predictive Energy Management Strategy for Multi-Mode Plug-in Hybrid Electric Vehicle With Mode Transition Schedule Optimization

Structural modal identification and health monitoring of building structures using self-sensing cementitious composites

Intelligent recognition of joints and fissures in tunnel faces using an improved mask region‐based convolutional neural network algorithm

A New Approach for Interval Dynamic Analysis of Train-Bridge System Based on Bayesian Optimization

Seismic analysis of 3D train–wheel–bridge–bearing systems: Modeling

A sample size-dependent prior strategy for bridging the Bayesian-frequentist gap in point null hypothesis testing

Vibration control of structures against near‐field earthquakes by using a novel hydro‐pneumatic semi‐active resettable device

Seismic analysis of 3D train–wheel–bridge–bearing systems: Illustrative examples

Gross outlier removal and fault data recovery for SHM data of dynamic responses by an annihilating filter‐based Hankel‐structured robust PCA method

Towards probabilistic data‐driven damage detection in SHM using sparse Bayesian learning scheme

Measurement and Forecasting of High-Speed Rail Track Slab Deformation under Uncertain SHM Data Using Variational Heteroscedastic Gaussian Process

A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations

A deep learning framework for adaptive compressive sensing of high‐speed train vibration responses

Wayside Detection of Wheel Minor Defects in High-Speed Trains by a Bayesian Blind Source Separation Method

A Machine Vision System Based on Driving Recorder for Automatic Inspection of Rail Curvature

A Supervised Artificial Neural Network-Assisted Modeling of Magnetorheological Elastomers in Tension-Compression Mode

In-situ synthesizing carbon nanotubes on cement to develop self-sensing cementitious composites for smart high-speed rail infrastructures

Temperature effect on vibration properties of civil structures: a literature review and case studies

Stochastic subspace identification for output-only modal analysis: application to super high-rise tower under abnormal loading condition

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