Project Objective:

• Development of Design methods using machine learning algorithms

• Various structural members and its applications are evaluated using machine learning algorithms

Structural members considered:

• CFS Strengthened/retrofitted Hot-rolled Steel Members

• CFRP Strengthened Hot-rolled Steel Members

Nature of the work:

Assessing the Full-scale experiments and numerical results using Machine Learning Algorithms | Development of mathematical expression for design

International Journal Publications:

1. Chobe G, Sivaganesh Selvaraj and Madhavan, M. (2023). Numerical Study on Retrofitting of Hot Rolled Steel Beams with Cold-Formed Steel Encased Channels-Design Concept using Machine Learning Method. Engineering Structures, 297, 116972. Link.