| Probabilistic seismic demand model and optimal intensity measure for concrete dams MA Hariri-Ardebili, VE Saouma Structural Safety 59, 67-85, 2016 | 214 | 2016 |
| Support vector machine based reliability analysis of concrete dams MA Hariri-Ardebili, F Pourkamali-Anaraki Soil Dynamics and Earthquake Engineering 104, 276-295, 2018 | 131 | 2018 |
| Seismic fragility analysis of concrete dams: A state-of-the-art review MA Hariri-Ardebili, VE Saouma Engineering structures 128, 374-399, 2016 | 129 | 2016 |
| Performance-based seismic assessment of steel frames using endurance time analysis MA Hariri-Ardebili, S Sattar, HE Estekanchi Engineering Structures 69, 216-234, 2014 | 129 | 2014 |
| Risk, Reliability, Resilience (R3) and beyond in dam engineering: A state-of-the-art review MA Hariri-Ardebili International journal of disaster risk reduction 31, 806-831, 2018 | 128 | 2018 |
| Quantitative failure metric for gravity dams MA Hariri‐Ardebili, V Saouma Earthquake Engineering & Structural Dynamics 44 (3), 461-480, 2015 | 120 | 2015 |
| Collapse Fragility Curves for Concrete Dams: Comprehensive Study MA Hariri-Ardebili, VE Saouma Journal of Structural Engineering, 2016 | 109 | 2016 |
| Polynomial chaos expansion for uncertainty quantification of dam engineering problems MA Hariri-Ardebili, B Sudret Engineering Structures 203, 109631, 2020 | 98 | 2020 |
| A mathematical model for the kinetics of the alkali–silica chemical reaction VE Saouma, RA Martin, MA Hariri-Ardebili, T Katayama Cement and Concrete Research 68, 184-195, 2015 | 92 | 2015 |
| 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 | 90 | 2020 |
| Copula-based reliability and sensitivity analysis of aging dams: Adaptive Kriging and polynomial chaos Kriging methods A Amini, A Abdollahi, MA Hariri-Ardebili, U Lall Applied Soft Computing 109, 107524, 2021 | 85 | 2021 |
| FEM-based parametric analysis of a typical gravity dam considering input excitation mechanism MA Hariri-Ardebili, SM Seyed-Kolbadi, MR Kianoush Soil Dynamics and Earthquake Engineering 84, 22-43, 2016 | 80 | 2016 |
| Developing a library of shear walls database and the neural network based predictive meta-model MJ Moradi, MA Hariri-Ardebili Applied Sciences 9 (12), 2562, 2019 | 74 | 2019 |
| Random finite element method for the seismic analysis of gravity dams MA Hariri-Ardebili, SM Seyed-Kolbadi, VE Saouma, J Salamon, ... Engineering Structures 171, 405-420, 2018 | 72 | 2018 |
| Quantification of seismic potential failure modes in concrete dams MA Hariri-Ardebili, VE Saouma, KA Porter Earthquake Engineering and Structural Dynamics, 2015 | 71 | 2015 |
| Seismic cracking and instability of concrete dams: Smeared crack approach MA Hariri-Ardebili, SM Seyed-Kolbadi Engineering Failure Analysis 52, 45-60, 2015 | 68 | 2015 |
| 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 | 67 | 2021 |
| Simplified reliability analysis of multi hazard risk in gravity dams via machine learning techniques MA Hariri-Ardebili, F Pourkamali-Anaraki Archives of civil and mechanical engineering 18 (2), 592-610, 2018 | 58 | 2018 |
| An empirical evaluation of the t-sne algorithm for data visualization in structural engineering P Hajibabaee, F Pourkamali-Anaraki, MA Hariri-Ardebili 2021 20th IEEE International Conference on Machine Learning and Applications …, 2021 | 57 | 2021 |
| A new class of seismic damage and performance indices for arch dams via ETA method MA Hariri-Ardebili, L Furgani, M Meghella, VE Saouma Engineering Structures 110, 145-160, 2016 | 56 | 2016 |
Farhad Pourkamali-AnarakiAssistant Professor, University of Colorado DenverVerified email at ucdenver.edu