Enhancing energy capacity of the car's hood door under excitation frequency via functionally graded triply periodic minimal surface material: Application of machine learning and mathematical simulation

This study investigates the nonlinear dynamic response and vibration characteristics of a car's hood door, focusing on its energy capacity under various excitation frequencies. The hood door is modeled using a functionally graded triply periodic minimal surface (FG-TPMS) material, which offers...

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Bibliographic Details
Published in:	Mechanics of advanced materials and structures Vol. 32; no. 16; pp. 3972 - 4000
Main Authors:	Long, Feng, Jiang, Lijian, Yang, Xiaohua, A. El-Meligy, Mohammed, Saleem, Kashif
Format:	Journal Article
Language:	English
Published:	Abingdon Taylor & Francis 18.08.2025 Taylor & Francis Ltd
Subjects:	car's hood door Design optimization Dynamic loads Dynamic response Energy absorption Energy capacity Equations of motion Excitation FG-TPMS material Functionally gradient materials Geometric nonlinearity hybrid machine learning algorithm Machine learning Mechanical properties Minimal surfaces Nonlinear dynamics Nonlinear response Numerical methods Numerical models Runge-Kutta method Shear deformation Time integration Vehicle safety Vibration control
ISSN:	1537-6494, 1537-6532
Online Access:	Get full text
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