Lost data reconstruction for structural health monitoring using deep convolutional generative adversarial networks X Lei, L Sun, Y Xia Structural Health Monitoring 20 (4), 2069-2087, 2021 | 111 | 2021 |
Mutual information based anomaly detection of monitoring data with attention mechanism and residual learning X Lei, Y Xia, A Wang, X Jian, H Zhong, L Sun Mechanical Systems and Signal Processing 182, 109607, 2023 | 61 | 2023 |
Long‐term performance monitoring and assessment of concrete beam bridges using neutral axis indicator Y Xia, X Lei, P Wang, G Liu, L Sun Structural Control and Health Monitoring, e2637, 2020 | 42 | 2020 |
A data‐driven approach for regional bridge condition assessment using inspection reports Y Xia, X Lei, P Wang, L Sun Structural Control and Health Monitoring 29 (4), e2915, 2022 | 32 | 2022 |
A deep reinforcement learning framework for life-cycle maintenance planning of regional deteriorating bridges using inspection data X Lei, Y Xia, L Deng, L Sun Structural and Multidisciplinary Optimization 65 (5), 149, 2022 | 28 | 2022 |
Vibration-based seismic damage states evaluation for regional concrete beam bridges using random forest method X Lei, L Sun, Y Xia, T He Sustainability 12 (12), 5106, 2020 | 25 | 2020 |
Multi-level time-variant vulnerability assessment of deteriorating bridge networks with structural condition records X Lei, Y Xia, Y Dong, L Sun Engineering Structures 266, 114581, 2022 | 23 | 2022 |
Seismic fragility assessment and maintenance management on regional bridges using bayesian multi-parameter estimation X Lei, L Sun, Y Xia Bulletin of Earthquake Engineering, 1-25, 2021 | 22 | 2021 |
Displacement response estimation of a cable-stayed bridge subjected to various loading conditions with one-dimensional residual convolutional autoencoder method X Lei, DM Siringoringo, Z Sun, Y Fujino Structural Health Monitoring 22 (3), 1790-1806, 2023 | 21 | 2023 |
Sustainable life-cycle maintenance policymaking for network-level deteriorating bridges with a convolutional autoencoder–structured reinforcement learning agent X Lei, Y Dong, DM Frangopol Journal of Bridge Engineering 28 (9), 04023063, 2023 | 20 | 2023 |
Artificial intelligence based structural assessment for regional short-and medium-span concrete beam bridges with inspection information Y Xia, X Lei, P Wang, L Sun Remote Sensing 13 (18), 3687, 2021 | 19 | 2021 |
Interpretable machine learning methods for clarification of load-displacement effects on cable-stayed bridge X Lei, DM Siringoringo, Y Dong, Z Sun Measurement 220, 113390, 2023 | 15 | 2023 |
Novel technique for configuration transformation of 3D curved cables of suspension bridges: Application to the Dongtiao River Bridge X Wang, DM Frangopol, Y Dong, X Lei, Y Zhang Journal of Performance of Constructed Facilities 32 (4), 04018045, 2018 | 15 | 2018 |
Bayesian-optimized interpretable surrogate model for seismic demand prediction of urban highway bridges X Lei, R Feng, Y Dong, C Zhai Engineering Structures 301, 117307, 2024 | 11 | 2024 |
Condition level deteriorations modeling of RC beam bridges with U-Net convolutional neural networks X Lei, Y Xia, S Komarizadehasl, L Sun Structures 42, 333-342, 2022 | 9 | 2022 |
Innovative design and construction process for a self-anchored suspension and cable-stayed cooperation bridge in China X Wang, C Wang, M Zhang, Y Xu, X Lei Structural Engineering International 28 (2), 178-184, 2018 | 9 | 2018 |
Finite element model updating method for continuous girder bridges using monitoring responses and traffic videos L Luo, Y Xia, A Wang, X Lei, X Jian, L Sun Structural Control and Health Monitoring 29 (11), e3062, 2022 | 8 | 2022 |
All-weather thermal simulation methods for concrete maglev bridge based on structural and meteorological monitoring data A Wang, Z Zhang, X Lei, Y Xia, L Sun Sensors 21 (17), 5789, 2021 | 8 | 2021 |
Predicting bridge longitudinal displacement from monitored operational loads with hierarchical CNN for condition assessment Z Sun, M Sun, DM Siringoringo, Y Dong, X Lei Mechanical Systems and Signal Processing 200, 110623, 2023 | 7 | 2023 |
Deep reinforcement learning for optimal life-cycle management of deteriorating regional bridges using double-deep Q-networks Y Dong, X Lei Smart Structures and Systems, An International Journal 30 (6), 571-582, 2022 | 7 | 2022 |