Structural damage identification via physics-guided machine learning: a methodology integrating pattern recognition with finite element model updating Z Zhang, C Sun Structural Health Monitoring, 1475921720927488, 2020 | 165 | 2020 |
Transfer-learning guided Bayesian model updating for damage identification considering modeling uncertainty Z Zhang, C Sun, B Guo Mechanical Systems and Signal Processing 166, 108426, 2022 | 61 | 2022 |
Glass fiber–reinforced polymer–packaged fiber Bragg grating sensors for ultra-thin unbonded concrete overlay monitoring Z Zhang, Y Huang, L Palek, R Strommen Structural Health Monitoring 14 (1), 110-123, 2015 | 45 | 2015 |
Pixel-Level Fatigue Crack Segmentation in Large-Scale Images of Steel Structures Using an Encoder–Decoder Network D Chuanzhi, L Liangding, Y Jin, Z Zhiming, P Hong, C Fikret Necati Sensors 21 (12), 4135, 2021 | 43 | 2021 |
Application of a machine learning method to evaluate road roughness from connected vehicles Z Zhang, C Sun, R Bridgelall, M Sun Journal of Transportation Engineering, Part B: Pavements 144 (4), 04018043, 2018 | 39 | 2018 |
Road roughness evaluation using in-pavement strain sensors Z Zhang, F Deng, Y Huang, R Bridgelall Smart Materials and Structures 24 (11), 115029, 2015 | 33 | 2015 |
Road profile reconstruction using connected vehicle responses and wavelet analysis Z Zhang, C Sun, R Bridgelall, M Sun Journal of Terramechanics 80, 21-30, 2018 | 32 | 2018 |
Precision enhancement of pavement roughness localization with connected vehicles R Bridgelall, Y Huang, Z Zhang, F Deng Measurement Science and Technology 27 (2), 025012, 2016 | 32 | 2016 |
Multi-Site Structural Damage Identification Using a Multi-Label Classification Scheme of Machine Learning Z Zhang, C Sun Measurement 7, 107473, 2020 | 30 | 2020 |
Sampling optimization for high-speed weigh-in-motion measurements using in-pavement strain-based sensors Z Zhang, Y Huang, R Bridgelall, L Palek, R Strommen Measurement Science and Technology 26 (6), 065003, 2015 | 26 | 2015 |
Optimal system design for weigh-in-motion measurements using in-pavement strain sensors Z Zhang, Y Huang, R Bridgelall, P Lu IEEE sensors journal 17 (23), 7677-7684, 2017 | 18 | 2017 |
Structural damage identification of offshore wind turbines: A two‐step strategy via FE model updating Z Zhang, C Sun, V Jahangiri Structural Control and Health Monitoring, e2872, 2021 | 17 | 2021 |
A Numerical Study on Multi-Site Damage Identification: A Data-Driven Method via Constrained Independent Component Analysis Z Zhang, C Sun Structural Control and Health Monitoring 27 (10), e2583, 2020 | 15 | 2020 |
Parsimony-Enhanced Sparse Bayesian Learning for Robust Discovery of Partial Differential Equations Z Zhiming, L Yongming Mechanical Systems and Signal Processing 171, 108833, 2022 | 14 | 2022 |
A robust framework for identification of PDEs from noisy data Z Zhang, Y Liu Journal of Computational Physics 446, 110657, 2021 | 14 | 2021 |
Vibration based bridge scour evaluation: A data-driven method using support vector machines Z Zhang, C Sun, C Li, M Sun Structural Monitoring and Maintenance 6 (2), 125-145, 2019 | 12 | 2019 |
Robust Data-Driven Discovery of Partial Differential Equations under Uncertainties Z Zhang, Y Liu https://arxiv.org/abs/2102.06504, 2021 | 9 | 2021 |
Condition Assessment of Stay Cables through Enhanced Time Series Classification Using a Deep Learning Approach Z Zhang, J Yan, L Li, H Pan, C Dong https://arxiv.org/abs/2101.03701, 2021 | 9 | 2021 |
Sparse signal recovery for WIM measurements from undersampled data through compressed sensing Z Zhang, C Sun, Y Huang Measurement 151, 107181, 2020 | 8 | 2020 |
Data-driven and model-based methods with physics-guided machine learning for damage identification Z Zhang Louisiana State University and Agricultural & Mechanical College, 2020 | 8 | 2020 |