/Digital-twin

Generative and predictive models for DT deployment in civil engineering

Primary LanguagePython

Digital Twins in Civil Engineering: Conceptual Framework and Real-World Implementations

This repository contains the code developed for the Ph.D. thesis titled 'Digital Twins in Civil Engineering: Conceptual Framework and Real-World Implementations', written for Maria Megia in the Department of Structural Mechanics and Hydraulic Engineering, at the University of Granada, Spain.

The following files have been included:

  • Generative Setting (CWGAN-GP).ipynb
  • Level 1_Binary Classifier for Damage Detection.ipynb
  • Level 2_Multiclass Classifier for Damage Location.ipynb
  • Levels 3 and 4_Regressor for predicting t.ipynb

If you have any inquiries, you can contact me at maria.megia@ugr.es