Development of nomogram for torsional strength of reinforced concrete using hybrid machine learning algorithm

Key Points

• Torsional strength predictions are essential for structural integrity in engineering designs, ensuring safety and performance.
• The hybrid machine learning algorithm achieved significant accuracy in torsional strength predictions across various concrete compositions.
• Observational analysis implemented a nomogram to simplify the predicted torsional strength based on key input parameters.
• The findings could enhance design standards for reinforced concrete, highlighting the need for integration into industry practices.