The present study deals with modal work that is a type of framework for structural dynamic testing of linear structures. Modal analysis is a powerful tool that works on the modal parameters to ensure the safety of materials and eliminate the failure possibilities. The concept of classification through this study is validated for isotropic and orthotropic materials, reaching up to a 100% accuracy when deploying the machine learning approach between the mode number and the associated frequency of the interrelated variables that were extracted from modal analysis performed by ANSYS. This study shows a new classification method dependent only on the knowledge of resonance frequency of a specific material and opens new directions for future developments to create a single device that can identify and classify different engineering materials.

Department of Advanced Materials Institute for Nanomaterials Advanced Technologies and Innovation Technical University of Liberec 461 17 Liberec Czech Republic

Department of Machinery Construction Institute for Nanomaterials Advanced Technologies and Innovation Technical University of Liberec 461 17 Liberec Czech Republic

Department of Material Engineering Faculty of Textile Engineering Technical University of Liberec 461 17 Liberec Czech Republic

Department of Mechanical and Materials Engineering Vilnius Gediminas Technical University 10221 Vilnius Lithuania

Department of Nanoengineering Center for Physical Sciences and Technology 02300 Vilnius Lithuania

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