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https://hdl.handle.net/20.500.14279/33149| Title: | Development of Predictive Models through ML Algorithms for the Computation of the Mechanical Behaviour of RC Structures under Pushover Loading Conditions | Authors: | Yahiaoui, Asma | Keywords: | Reinforced Concrete Structures;Seismic Assessment;Machine Learning;High Performance Computing;Finite Element Method;Large Datasets | Advisor: | Markou, George Dorbani, Saida |
Issue Date: | 1-Dec-2026 | Department: | Department of Structures and Materials, Built Environmental Research Laboratory | Faculty: | Civil Engineering Faculty | Abstract: | 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 |
| Appears in Collections: | Διδακτορικές Διατριβές/ PhD Theses |
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