Vibrational characteristics and energy absorption characteristics of a multi-hybrid nanocomposite reinforced hockey stick using big data analysis

Lian Xiao , Zhe Huang , Zhenzhen Wang , Mostafa Habibi , Blgacem Buallegue , Jun Gao

Abstract

This research delves into the energy absorption properties of a sport tool when subjected to intricate circumstances. To model the displacement fields of the sport tool accurately, the scientists employed an advanced higher-order shear deformation theory. Analyzing vast amounts of data, encompassing factors like volume, variety, and velocity, posed sampling challenges. Nevertheless, this study successfully surmounted these obstacles to conduct a comprehensive analysis. The findings highlight the significance of specific parameters in effectively controlling energy in sports, as unveiled through the meticulous analysis of extensive data. This study represents the pioneering effort to investigate energy management in sports through the application of big data analysis.

Key Words

big data analysis; energy; hockey stick; machine learning; nanocomposite reinforced; sport system

Address

Lian Xiao — College of Physical Education, Hunan First Normal University, Changsha 410000, Hunan, China/ College of Physical Education, Hunan Agricultural University, Changsha 410000, Hunan, China
Zhe Huang — College of Physical Education, Hunan Agricultural University, Changsha 410000, Hunan, China
Zhenzhen Wang — Physical Education Group, Changsha No. 1 Middle School, Changsha 410000, Hunan, China
Mostafa Habibi — Department of Biomaterials, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, 600077, India/ Department of Mechanical Engineering, Faculty of Engineering, Haliç University, Istanbul, Turkey
Blgacem Buallegue and Jun Gao — Department of Computer Engineering, Khalid University, ABHA, Saudi Arabia

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