Coupled aeroelastic–nanomechanical modeling of functionally graded piezoelectric tapered nanoplates used in sports equipment: results verification via a hybrid machine learning algorithm
{"title":"Coupled aeroelastic–nanomechanical modeling of functionally graded piezoelectric tapered nanoplates used in sports equipment: results verification via a hybrid machine learning algorithm","authors":"Long Liu, Murat YAYLACI","doi":"10.1007/s10999-026-09890-9","DOIUrl":null,"url":null,"abstract":"<div><p>This work introduces a new coupled aeroelastic–nanomechanical theory for a class of materials, the functionally graded piezoelectric nanoplates that are considered for NEMS applications in the near future sports products. Nonlocal strain gradient theory (NSGT) and quasi-3D refined theory (Q3D-RT) are utilized to obtain the equations of motion for rectangular NEMS of varying thickness. The model covers several aspects, such as Von-Karman nonlinearity, nonlinear group and phase velocities, and the application of aerodynamic forces on the plates according to first-order piston theory. Nonlinear effects are captured by an iterative harmonic displacement representation, which also allows for the comprehensive description of the plate dynamics under the applied excitations. A hybrid machine learning algorithm employing fuzzy logic and deep neural networks (fuzzy-DNNs) is utilized to authenticate the model’s outcomes. With the help of the fuzzy-DNNs algorithm, the system’s nonlinear response characteristics, including the ratio of nonlinear group to phase velocity, are predicted with great efficiency, thereby providing solid validation for the model proposed. Furthermore, piezoelectric coupling in nanoplates is recognized as a factor for the enhancement of their mechanical performance, giving ideas about their usage in sports equipment where sensitivity, low weight, and high dynamic performance are important. The receipt of these results indicates a major breakthrough in the field of NEMS research, because up to now they have already revealed the essential contribution that nonlinear aeroelastic effects and electric interactions make to the formation of ultimate nanodevices. The research further proposes the theory-driven revolution of combining nanomechanics, piezoelectricity, and aeroelasticity as a way of producing new materials for the sports gear of the next generation.</p></div>","PeriodicalId":593,"journal":{"name":"International Journal of Mechanics and Materials in Design","volume":"22 2","pages":""},"PeriodicalIF":4.7000,"publicationDate":"2026-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Mechanics and Materials in Design","FirstCategoryId":"88","ListUrlMain":"https://link.springer.com/article/10.1007/s10999-026-09890-9","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0
Abstract
This work introduces a new coupled aeroelastic–nanomechanical theory for a class of materials, the functionally graded piezoelectric nanoplates that are considered for NEMS applications in the near future sports products. Nonlocal strain gradient theory (NSGT) and quasi-3D refined theory (Q3D-RT) are utilized to obtain the equations of motion for rectangular NEMS of varying thickness. The model covers several aspects, such as Von-Karman nonlinearity, nonlinear group and phase velocities, and the application of aerodynamic forces on the plates according to first-order piston theory. Nonlinear effects are captured by an iterative harmonic displacement representation, which also allows for the comprehensive description of the plate dynamics under the applied excitations. A hybrid machine learning algorithm employing fuzzy logic and deep neural networks (fuzzy-DNNs) is utilized to authenticate the model’s outcomes. With the help of the fuzzy-DNNs algorithm, the system’s nonlinear response characteristics, including the ratio of nonlinear group to phase velocity, are predicted with great efficiency, thereby providing solid validation for the model proposed. Furthermore, piezoelectric coupling in nanoplates is recognized as a factor for the enhancement of their mechanical performance, giving ideas about their usage in sports equipment where sensitivity, low weight, and high dynamic performance are important. The receipt of these results indicates a major breakthrough in the field of NEMS research, because up to now they have already revealed the essential contribution that nonlinear aeroelastic effects and electric interactions make to the formation of ultimate nanodevices. The research further proposes the theory-driven revolution of combining nanomechanics, piezoelectricity, and aeroelasticity as a way of producing new materials for the sports gear of the next generation.
期刊介绍:
It is the objective of this journal to provide an effective medium for the dissemination of recent advances and original works in mechanics and materials'' engineering and their impact on the design process in an integrated, highly focused and coherent format. The goal is to enable mechanical, aeronautical, civil, automotive, biomedical, chemical and nuclear engineers, researchers and scientists to keep abreast of recent developments and exchange ideas on a number of topics relating to the use of mechanics and materials in design.
Analytical synopsis of contents:
The following non-exhaustive list is considered to be within the scope of the International Journal of Mechanics and Materials in Design:
Intelligent Design:
Nano-engineering and Nano-science in Design;
Smart Materials and Adaptive Structures in Design;
Mechanism(s) Design;
Design against Failure;
Design for Manufacturing;
Design of Ultralight Structures;
Design for a Clean Environment;
Impact and Crashworthiness;
Microelectronic Packaging Systems.
Advanced Materials in Design:
Newly Engineered Materials;
Smart Materials and Adaptive Structures;
Micromechanical Modelling of Composites;
Damage Characterisation of Advanced/Traditional Materials;
Alternative Use of Traditional Materials in Design;
Functionally Graded Materials;
Failure Analysis: Fatigue and Fracture;
Multiscale Modelling Concepts and Methodology;
Interfaces, interfacial properties and characterisation.
Design Analysis and Optimisation:
Shape and Topology Optimisation;
Structural Optimisation;
Optimisation Algorithms in Design;
Nonlinear Mechanics in Design;
Novel Numerical Tools in Design;
Geometric Modelling and CAD Tools in Design;
FEM, BEM and Hybrid Methods;
Integrated Computer Aided Design;
Computational Failure Analysis;
Coupled Thermo-Electro-Mechanical Designs.