Deep generative neural networks for nonlinear analysis and in-situ assessment of masonry

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Adaileh, Ahmad (2025) Deep generative neural networks for nonlinear analysis and in-situ assessment of masonry. PhD thesis, University of Nottingham.

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Item Type: Thesis (University of Nottingham only) (PhD)
Supervisors: Ghiassi, Bahman
Briganti, Riccardo
Keywords: Deep generative modelling; Machine learning; GAN; Image-to-image translation; Masonry; Micro-modelling; Multiple mechanical fields; In-situ assessment; Continual learning; Transfer learning
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA 630 Structural engineering (General)
Faculties/Schools: UK Campuses > Faculty of Engineering > Department of Civil Engineering
Item ID: 81788
Depositing User: Adaileh, Ahmad
Date Deposited: 31 Dec 2025 04:40
Last Modified: 31 Dec 2025 04:40
URI: https://eprints.nottingham.ac.uk/id/eprint/81788

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