Simple Visual Aids for Predicting Fire Response of RC Columns: Nomograms via Machine Learning

Assessing the ability of reinforced concrete (RC) columns to withstand the effects of fire is a multifaceted and intricate problem due to the various factors that influence their fire response. As such, engineers may find it challenging to precisely predict such fire resistance. While some codal provisions exist and fire testing/advanced modeling can be adopted, the same methods may suffer from poor predictivity and can be costly and/or complex. In this paper, we shift focus toward machine learn