AI-Based Durability Prediction of RCC Buildings with Floating Columns using STAAD.Pro Analysis

Krishnapal Singh Solanki; Mohit Kumar Prajapati

AI-Based Durability Prediction of RCC Buildings with Floating Columns using STAAD.Pro Analysis

( Vol-13,Issue-9,September 2026 ) OPEN ACCESS

Author(s):

Krishnapal Singh Solanki, Mohit Kumar Prajapati

Keywords:

Artificial Intelligence, RCC Buildings, Floating Columns, Durability Prediction, STAAD.Pro, Structural Analysis, Machine Learning, Structural Safety.

Abstract:

The use of floating columns in reinforced cement concrete (RCC) buildings can significantly influence structural load transfer, stiffness, and durability, particularly under complex loading conditions. This review examines the application of Artificial Intelligence (AI) for predicting the durability and structural performance of RCC buildings with floating columns using STAAD.Pro analysis. The study reviews existing research on AI-based prediction techniques, structural modeling, load analysis, material behavior, and durability assessment. STAAD.Pro is considered as a computational platform for evaluating structural responses, while AI techniques can be used to identify patterns and predict performance-related parameters. The review highlights the potential of integrating AI with structural analysis to improve durability prediction, optimize design decisions, and support safer and more efficient RCC building design.