Prediction of Chloride-Induced Service Life of SCM-Based Reinforced Concrete Using Machine Learning

This repository contains the supplementary material associated with the manuscript entitled "Prediction of Chloride-Induced Service Life of SCM-Based Reinforced Concrete Using Machine Learning." The repository includes: ANN.pkl – Trained Artificial Neural Network (ANN) prediction model. ANN_Service_Life_Tool.py – Standalone Python application for prediction of chloride-induced total service life and generation of ANN-based service-life design charts. README.txt – Software requirements, installation instructions, applicability limits, and usage guidelines. The ANN model predicts the chloride-induced total service life of reinforced concrete using four input parameters: Supplementary cementitious material (SCM) type SCM replacement level Water–binder ratio Cover depth The prediction tool is applicable only within the input ranges described in the accompanying manuscript.