Prediction tool

ML Based Prediction Tool for Composite Walls in Fire

This tool is being developed to predict the fire resistance and displacement response of steel and concrete composite walls under fire exposure. The prediction model is based on numerical simulation results and machine learning approaches.

What the tool predicts:
Predicted fire resistance
Displacement time response

Required input parameters:
Concrete thickness, Tc
Steel yield strength, fy
Concrete compressive strength, fc
Wall height, H
Eccentricity ratio, er
Load ratio, nc
Effective slenderness ratio, λ 

How it works:
The user enters the input parameters, and the tool uses the trained machine learning models to estimate the fire resistance and displacement response.