Low-velocity impact damage prediction in nano-clay reinforced aluminium honeycomb sandwich panels using machine learning models

Saravanamuthukumar Ponraj, Ahmad Baharuddin Abdullah, Jayaram Radhakrishnan Santhi, Krishnamoorthy Ramalingam, School of Mechanical Engineering, Universiti Sains Malaysia Engineering Campus, Nibong Tebal, Department of Mechanical Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Tamil Nadu, Department of Sustainable Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Tamil Nadu

Journal of Sandwich Structures & Materials

Published online on February 11, 2026

Abstract

Journal of Sandwich Structures & Materials, Ahead of Print.
Low-density materials, for example, aluminium honeycomb sandwich panels, are gaining extensive usage in structural applications due to their high strength-to-weight ratio and energy absorption capability. This paper presents the investigations on the low-...