Probabilistic seismic demand model and optimal intensity measure for concrete dams MA Hariri-Ardebili, VE Saouma Structural Safety 59, 67-85, 2016 | 183 | 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 | 119 | 2018 |
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 | 116 | 2018 |
Performance-based seismic assessment of steel frames using endurance time analysis MA Hariri-Ardebili, S Sattar, HE Estekanchi Engineering Structures 69, 216-234, 2014 | 114 | 2014 |
Seismic fragility analysis of concrete dams: A state-of-the-art review MA Hariri-Ardebili, VE Saouma Engineering structures 128, 374-399, 2016 | 113 | 2016 |
Quantitative failure metric for gravity dams MA Hariri‐Ardebili, V Saouma Earthquake Engineering & Structural Dynamics 44 (3), 461-480, 2015 | 108 | 2015 |
Collapse Fragility Curves for Concrete Dams: Comprehensive Study MA Hariri-Ardebili, VE Saouma Journal of Structural Engineering, 2016 | 101 | 2016 |
Polynomial chaos expansion for uncertainty quantification of dam engineering problems MA Hariri-Ardebili, B Sudret Engineering Structures 203, 109631, 2020 | 86 | 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 | 85 | 2015 |
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 | 77 | 2016 |
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 | 73 | 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 | 70 | 2020 |
Quantification of seismic potential failure modes in concrete dams MA Hariri-Ardebili, VE Saouma, KA Porter Earthquake Engineering and Structural Dynamics, 2015 | 68 | 2015 |
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 | 65 | 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 | 64 | 2018 |
Seismic cracking and instability of concrete dams: Smeared crack approach MA Hariri-Ardebili, SM Seyed-Kolbadi Engineering Failure Analysis 52, 45-60, 2015 | 59 | 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 | 56 | 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 | 55 | 2018 |
A Comparative Study of Seismic Stability of Coupled Arch Dam-Foundation-Reservoir System using Infinite Elements and Viscous Boundary Models MA HARIRI-ARDEBILI, H MIRZABOZORG International Journal of Structural Stability and Dynamics 13 (6), 2013 | 54 | 2013 |
Sensitivity and uncertainty quantification of the cohesive crack model MA Hariri-Ardebili, VE Saouma Engineering Fracture Mechanics 155, 18-35, 2016 | 51 | 2016 |