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https://hdl.handle.net/20.500.14279/33149| Τίτλος: | Development of Predictive Models through ML Algorithms for the Computation of the Mechanical Behaviour of RC Structures under Pushover Loading Conditions | Συγγραφείς: | Yahiaoui, Asma | Λέξεις-κλειδιά: | Reinforced Concrete Structures;Seismic Assessment;Machine Learning;High Performance Computing;Finite Element Method;Large Datasets | Advisor: | Markou, George Dorbani, Saida |
Ημερομηνία Έκδοσης: | 1-Δεκ-2026 | Department: | Department of Structures and Materials, Built Environmental Research Laboratory | Faculty: | Civil Engineering Faculty | Περίληψη: | Develop a large dataset through the use of Reconan FEA and HPC LUMI that will be used to train and test AI algorithms for the development of predictive models. The main objective is to replace the need of performing pushover analyses on RC structures with AL generated predictive models. | URI: | https://hdl.handle.net/20.500.14279/33149 | Rights: | Attribution-NoDerivatives 4.0 International | Type: | PhD Thesis | Affiliation: | University of Science and Technology Houari Boumediene |
| Εμφανίζεται στις συλλογές: | Διδακτορικές Διατριβές/ PhD Theses |
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