Subject: Request for Access to CEB-FIP Database (or similar) for Developing ML Predictive Models on Corroded Prestressed Steel

Dear ResearchGate Community,

I am in the process of developing a machine learning (ML) predictive model to study the degradation and performance of corroded prestressed steel in concrete structures. The objective is to utilize advanced ML algorithms to predict the long-term effects of corrosion on the mechanical properties of prestressed steel.

For this purpose, I am seeking access to the CEB-FIP database or any similar repository containing comprehensive data on corroded prestressed steel. This data is crucial for training and validating the ML models to ensure accurate predictions. I am particularly interested in datasets that include corrosion rates, mechanical property degradation, fatigue life, and other parameters critical to the structural performance of these materials.

If anyone has access to the CEB-FIP database or knows of similar databases that could serve this research purpose, I would greatly appreciate your assistance in gaining access.

Your support would be invaluable in furthering our understanding of material behavior in civil engineering and developing robust tools for predicting structural integrity.

I am open to collaborations and would be keen to discuss potential joint research initiatives that explore the application of machine learning in civil and structural engineering.

Thank you for your time and consideration. I look forward to any possible assistance or collaboration from the community.

Best regards,

M. Kovacevic