| Gaussian process regression-based forecasting model of dam deformation C Lin, T Li, S Chen, X Liu, C Lin, S Liang Neural Computing and Applications 31, 8503-8518, 2019 | 87 | 2019 |
| Multi-kernel optimized relevance vector machine for probabilistic prediction of concrete dam displacement S Chen, C Gu, C Lin, K Zhang, Y Zhu Engineering with Computers 37 (3), 1943-1959, 2021 | 74 | 2021 |
| Prediction, monitoring, and interpretation of dam leakage flow via adaptative kernel extreme learning machine S Chen, C Gu, C Lin, Y Wang, MA Hariri-Ardebili Measurement 166, 108161, 2020 | 66 | 2020 |
| Prediction of arch dam deformation via correlated multi-target stacking S Chen, C Gu, C Lin, MA Hariri-Ardebili Applied Mathematical Modelling 91, 1175-1193, 2021 | 51 | 2021 |
| Interval analysis of the loss of life caused by dam failure W Ge, X Wang, Z Li, H Zhang, X Guo, T Wang, W Gao, C Lin, ... Journal of Water Resources Planning and Management 147 (1), 04020098, 2021 | 47 | 2021 |
| Safety monitoring model of a super-high concrete dam by using RBF neural network coupled with kernel principal component analysis S Chen, C Gu, C Lin, E Zhao, J Song Mathematical Problems in Engineering 2018, 2018 | 37 | 2018 |
| A deformation separation method for gravity dam body and foundation based on the observed displacements C Lin, T Li, X Liu, L Zhao, S Chen, H Qi Structural Control and Health Monitoring 26 (2), e2304, 2019 | 36 | 2019 |
| Structural identification in long-term deformation characteristic of dam foundation using meta-heuristic optimization techniques C Lin, T Li, S Chen, C Lin, X Liu, L Gao, T Sheng Advances in Engineering Software 148, 102870, 2020 | 28 | 2020 |
| A variable parameters damage model for concrete H Qi, T Li, X Liu, L Zhao, C Lin, S Fan Engineering Fracture Mechanics 228, 106898, 2020 | 19 | 2020 |
| Long-term viscoelastic deformation monitoring of a concrete dam: A multi-output surrogate model approach for parameter identification C Lin, T Li, S Chen, L Yuan, P van Gelder, N Yorke-Smith Engineering Structures 266, 114553, 2022 | 15 | 2022 |
| A SPH two-layer depth-integrated model for landslide-generated waves in reservoirs: application to Halaowo in Jinsha River (China) C Lin, M Pastor, T Li, X Liu, H Qi, C Lin Landslides 16, 2167-2185, 2019 | 13 | 2019 |
| Deformation forecasting of pulp-masonry arch dams via a hybrid model based on CEEMDAN considering the lag of influencing factors C Lin, X Wang, Y Su, T Zhang, C Lin Journal of Structural Engineering 148 (7), 04022078, 2022 | 11 | 2022 |
| Reinforcement effects and safety monitoring index for high steep slopes: A case study in China C Lin, T Li, L Zhao, Z Zhang, C Lin, X Liu, Z Niu Engineering Geology 279, 105861, 2020 | 10 | 2020 |
| Application of a Hybrid SPH-Boussinesq model to predict the lifecycle of landslide-generated waves C Lin, X Wang, M Pastor, T Zhang, T Li, C Lin, Y Su, Y Li, K Weng Ocean Engineering 223, 108658, 2021 | 9 | 2021 |
| A novel dynamic stability analysis method for jointed rock slopes based on block-interface interaction T Li, X Liu, H Qi, S Fan, C Lin, M Zhou Computers and Geotechnics 134, 104113, 2021 | 7 | 2021 |
| A PFE/IE–SPH joint approach to model landslides from initiation to propagation C Lin, M Pastor, T Li, X Liu, C Lin, H Qi, T Sheng Computers and Geotechnics 114, 103153, 2019 | 6 | 2019 |
| An explainable probabilistic model for health monitoring of concrete dam via optimized sparse bayesian learning and sensitivity analysis C Lin, S Chen, MA Hariri-Ardebili, T Li Structural Control and Health Monitoring 2023, 2023 | 5 | 2023 |
| 基于 BP 神经网络的大坝新多测点位移模型 季威， 刘晓青， 林潮宁， 陶园 水利水电技术 50 (2), 112-117, 2019 | 5 | 2019 |
| Numerical simulation of water hammer in multi-level intake hydropower station considering the impact of intake Y Ding, TC Li, LH Zhao, MZ Zhou, CN Lin Engineering Computations 36 (3), 850-875, 2019 | 4 | 2019 |
| Mechanical parameter identification of hydraulic engineering with the improved deep Q-network algorithm W Ji, X Liu, H Qi, X Liu, C Lin, T Li Mathematical Problems in Engineering 2020, 1-20, 2020 | 2 | 2020 |
M. Amin Hariri-ArdebiliNational Institute of Standards and Technology (NIST)Bestätigte E-Mail-Adresse bei nist.gov
