Data and Codes for Automated and Explainable Machine Learning for Accelerating Nonlinear Vibration Prediction in Bioinspired Helicoidal Laminated Composite Structures

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Shubham Saurabh, Shakti P. Padhy, Ngoc Viet Hoang Vu, Kiran, Raj, Vishal Singh Chauhan
DOI: 10.5281/zenodo.18509917
Cited by: 0

Abstract

This repository offers code and data for predicting nonlinear vibration response in bio-inspired composite plates using an automated, interpretable machine learning workflow.

Fields of Study & Subjects

Composite Structure Analysis and Optimization Aeroelasticity and Vibration Control Machine Learning in Materials Science

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 February 2026