Real-time hybrid simulation with deep learning computational substructures: System validation using linear specimens EE Bas, MA Moustafa Machine Learning and Knowledge Extraction 2 (4), 469-489, 2020 | 18 | 2020 |
Compact hybrid simulation system: Validation and applications for braced frames seismic testing EE Bas, MA Moustafa, G Pekcan Journal of Earthquake Engineering 26 (3), 1565-1594, 2022 | 17 | 2022 |
Performance and limitations of real-time hybrid simulation with nonlinear computational substructures EE Bas, MA Moustafa Experimental techniques 44, 715-734, 2020 | 16 | 2020 |
Communication development and verification for python-based machine learning models for real-time hybrid simulation EE Bas, MA Moustafa Frontiers in Built Environment 6, 574965, 2020 | 14 | 2020 |
P- and S-wave velocity estimation by ensemble Kalman inversion of dispersion data for strong motion stations in California EE Bas, E Seylabi, A Yong, H Tehrani, D Asimaki Geophysical Journal International 231 (1), 536-551, 2022 | 7 | 2022 |
Using a machine learning approach for computational substructure in real-time hybrid simulation EE Bas, MA Moustafa, D Feil-Seifer, J Blankenburg Dynamic Substructures, Volume 4: Proceedings of the 38th IMAC, A Conference …, 2021 | 7 | 2021 |
Predicting Nonlinear Seismic Response of Structural Braces Using Machine Learning EE Bas, D Aslangil, MA Moustafa ASME International Mechanical Engineering Congress and Exposition 84607 …, 2020 | 3 | 2020 |
Unmanned Aerial Vehicle-Based Structural Health Monitoring and Computer Vision-Aided Procedure for Seismic Safety Measures of Linear Infrastructures L Ngeljaratan, EE Bas, MA Moustafa Sensors 24 (5), 1450, 2024 | 2 | 2024 |
Advances in nonlinear computational substructuring for real-time hybrid simulation EE Bas University of Nevada, Reno, 2020 | 2 | 2020 |
Burkulması Önlenmiş Çaprazlı Çelik Çerçevelerde Büyütme Katsayısının İncelenmesi EE Baş Fen Bilimleri Enstitüsü, 2013 | 2 | 2013 |
Hybrid fire testing using FMI-based co-simulation G Abbiati, EE Baş, C Gomes, PG Larsen Fire Safety Journal 139, 103832, 2023 | 1 | 2023 |
A hybrid simulation approach for aeroelastic wind tunnel testing: challenges and foundational work A Ghaffary, EE Bas, MA Moustafa International Journal of Lifecycle Performance Engineering 4 (1-3), 46-79, 2020 | 1 | 2020 |
Re in greem while FMU Digitalization of Large-Scale Testing Facilities for the Wind Industry: DIGIT-BENCH Digital Twin EE Baş, G Abbiati, CÂG Gomes, U Jassmann, PG Larsen Journal of Physics: Conference Series 2767 (4), 042033, 2024 | | 2024 |
A Hybrid Testing Framework for Wind Turbine Mechanical Components F Nordtorp, EE Baş, C Gomes, G Abbiati Journal of Physics: Conference Series 2767 (5), 052046, 2024 | | 2024 |
Assessing the Quality of Real-Time Hybrid Simulation Tests with Deep Learning Models EE Bas, MA Moustafa Dynamic Substructures, Volume 4: Proceedings of the 39th IMAC, A Conference …, 2022 | | 2022 |
Final Technical Report (2020-2021) Robust Site Characterization by Data Fusion and Assimilation of Recorded Ground Motions and Geotechnical Measurements Collaborative Research … EE Bas, E Seylabi, D Asimaki | | 2021 |
Predicting Nonlinear Seismic Response of Structural Braces Using Machine Learning E Ecem Bas, D Aslangil, MA Moustafa arXiv e-prints, arXiv: 2007.13662, 2020 | | 2020 |
Using Machine Learning Approach for Computational Substructure in Real-Time Hybrid Simulation E Ecem Bas, MA Moustafa, D Feil-Seifer, J Blankenburg arXiv e-prints, arXiv: 2004.02037, 2020 | | 2020 |
REAL-TIME HYBRID SIMULATION FOR INFORMING SEISMIC RETROFITTING OF OLDER STRUCTURES EE Bas, MA Moustafa | | |