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المؤلفTrent, Stephen
المؤلفSassi, Sadok
المؤلفM. Shadi, Mohamed
المؤلفRenno, Jamil
تاريخ الإتاحة2022-05-11T08:16:29Z
تاريخ النشر2022-05-08
معرّف المصادر الموحدhttp://hdl.handle.net/10576/30833
الملخصWe use cGANs to solve computational mechanics. We model a structure using FEA and generate simulations results (deflection and stress). We then transform the FEA results into images where the colour channels correspond to the loading, material and geometric properties of the structure under study. We then use the images as input to the cGAN which is trained to infer deflections from forces, stresses from deflections and stresses from forces. The submission includes the data and the code used in this work.
راعي المشروعThe authors gratefully acknowledge the financial support provided by the Qatar National Research Fund through the National Priorities Research Program under grant number NPRP 11S-1220-170112 and Qatar University Internal Grant QUCG-CENG-19/20-6.
اللغةen
الموضوعcGAN
convolutional neural networks
computational mechanics
العنوانUsing Conditional Generative Adversarial Networks in Computational Mechanics -- Code
النوعDataset
dc.accessType Open Access


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