Skip to content

This repository contains all materials related to my Master's Thesis titled "Generative Artificial Intelligence and Optimisation Framework for Sustainable Concrete Mixture Design", including the thesis report, presentations, research papers, dataset, and associated code files used for experiments and analysis.

Notifications You must be signed in to change notification settings

teibokchyne/Generative-AI-and-Optimisation-Framework-for-Sustainable-Concrete-Mix-Design

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Master's Thesis Repository – Teiboklang Chyne (Roll No. 234156019, IIT Guwahati)

This repository contains all materials related to my Master's Thesis titled "Generative Artificial Intelligence and Optimisation Framework for Sustainable Concrete Mixture Design", including the thesis report, presentations, research papers, dataset, and associated code files used for experiments and analysis.


📄 Documents


📊 Dataset

  • Original Dataset Used Wiley.csv The primary dataset used for training and evaluation in the thesis.

🧠 CatBoost + Firefly Optimization


🤖 Conditional Variational Autoencoders (CVAE)

  • CVAE Architecture Definition vae_definition.ipynb Implements the structure of the CVAE used in the experiments.

  • Mix Design Optimization vae_optimization.ipynb Hyperparameter tuning and model selection for CVAEs. Mixture Design Optimization using selected CVAE.

  • Comparison Using Learning Curves vae_comparison_learning_curve.ipynb Comparative analysis of CVAE variants based on learning behavior.

  • Comparison Using Loss Functions vae_comparison_on_losses.ipynb Performance comparison of different CVAE architectures using loss metrics.


📝 Citation

If you use any part of this work, please cite appropriately. You may refer to the papers submitted to RILEM Youth Symposium 2025 and I-4AM’26 listed above.

About

This repository contains all materials related to my Master's Thesis titled "Generative Artificial Intelligence and Optimisation Framework for Sustainable Concrete Mixture Design", including the thesis report, presentations, research papers, dataset, and associated code files used for experiments and analysis.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published