Development of Predictive Models through ML Algorithms for the Computation of the Mechanical Behaviour of RC Structures under Pushover Loading Conditions

Please use this identifier to cite or link to this item: 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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