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 DOI
Long Feng, Lijian Jiang,

Xiaohua Yang

et al.

Mechanics of Advanced Materials and Structures, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 29

Published: Oct. 31, 2024

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 door is modeled using functionally graded triply periodic minimal surface (FG-TPMS) material, which offers superior mechanical properties lightweight design. analysis conducted higher-order shear deformation theory (HSDT), accounts for deformations more accurately than classical theories. incorporation von Karman terms captures geometric nonlinearity due to large deformations, providing realistic simulation door's behavior loads. To solve complex equations motion derived from HSDT terms, fourth-order Runge–Kutta method employed. numerical ensures accurate time integration stability solution. further analyzed determine absorption crucial safety durability in automotive applications. Validation model performed previous published articles hybrid machine learning algorithm, combines data-driven approaches with traditional physics-based models. validation enhances accuracy reliability predicted responses, ensuring that proposed can be effectively used design optimization car components. results demonstrate potential FG-TPMS materials applications, offering improved control, are essential enhancing vehicle performance.

Language: Английский

A size-dependent nonlinear analysis of perovskite solar panels with FG-CNTR-TPMS substrates DOI
Nam V. Nguyen, Kim Q. Tran, Nicholas Fantuzzi

et al.

Composite Structures, Journal Year: 2024, Volume and Issue: unknown, P. 118548 - 118548

Published: Sept. 1, 2024

Language: Английский

Citations

6
BPNN-Assisted Restoration of Buckling Resistance of Dented Torispherical Heads Using CFRP DOI

Ming Zhan,

Hao Wang, Wenwei Wu

et al.

International Journal of Pressure Vessels and Piping, Journal Year: 2025, Volume and Issue: unknown, P. 105428 - 105428

Published: Jan. 1, 2025

Language: Английский

Citations

0
Geometrically nonlinear analysis of graphene-reinforced bioinspired architectures-based microplates DOI
Nam V. Nguyen

International Journal of Solids and Structures, Journal Year: 2025, Volume and Issue: unknown, P. 113356 - 113356

Published: March 1, 2025

Language: Английский

Citations

0
Experimental and Numerical Analysis of Novel Polycontinuous Triply Periodic Minimal Surface Architectures DOI

Hossein Doostmohammadi,

Saeed Khaleghi, Mostafa Baghani

et al.

Advanced Engineering Materials, Journal Year: 2025, Volume and Issue: unknown

Published: April 6, 2025

Triply periodic minimal surface (TPMS) structures are architectures that possess unique geometrical features, like a smooth and zero‐mean curvature. This article proposes two novel multivoid TPMS shell network structures, namely, IP iBP based on I‐WP, Primitive, iBase architectures. A voxel‐based approach is employed as numerical homogenization method to calculate the mechanical thermal properties of structures. LCD 3D printing for experimental validation which demonstrates close agreement with finite element analysis ≈5% deviation in predicted elastic modulus. The proposed exhibit up 15% higher conductivity compared their base while maintaining almost similar modulus, only 4% deviation. Also, directional modified have been examined by Zener anisotropy index. Compared both high at volume fraction 40%, but decreases drastically increases 60%. Additionally, detailed these indicates they three void phases specific parameters. results demonstrate developed potential be heat mass transfer systems, including multifluid exchangers.

Language: Английский

Citations

0
Simultaneous acoustic and vibration isolation metamaterials based on triply periodic minimal surface DOI

Heman Xiao,

Hongqing Dai, Ning Dai

et al.

Thin-Walled Structures, Journal Year: 2024, Volume and Issue: unknown, P. 112738 - 112738

Published: Nov. 1, 2024

Language: Английский

Citations

3
Aerospace Airflow and Transient Elastodynamic Responses of the Smart Composite Structures: Verification of the results via a machine learning algorithm DOI
Yi Ru,

Junda He,

Mengxia Wang

et al.

Aerospace Science and Technology, Journal Year: 2025, Volume and Issue: unknown, P. 110293 - 110293

Published: May 1, 2025

Language: Английский

Citations

0
Nonlinear dynamic analysis of the FG-TPMS double-curved panels: Introducing SVM-DNN-RF algorithm to predict nonlinear dynamic information DOI
Shaoyong Han, Zhen Wang,

Mohammed E-Meligy

et al.

Aerospace Science and Technology, Journal Year: 2024, Volume and Issue: unknown, P. 109785 - 109785

Published: Dec. 1, 2024

Language: Английский

Citations

1
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 DOI
Long Feng, Lijian Jiang,

Xiaohua Yang

et al.

Mechanics of Advanced Materials and Structures, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 29

Published: Oct. 31, 2024

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 door is modeled using functionally graded triply periodic minimal surface (FG-TPMS) material, which offers superior mechanical properties lightweight design. analysis conducted higher-order shear deformation theory (HSDT), accounts for deformations more accurately than classical theories. incorporation von Karman terms captures geometric nonlinearity due to large deformations, providing realistic simulation door's behavior loads. To solve complex equations motion derived from HSDT terms, fourth-order Runge–Kutta method employed. numerical ensures accurate time integration stability solution. further analyzed determine absorption crucial safety durability in automotive applications. Validation model performed previous published articles hybrid machine learning algorithm, combines data-driven approaches with traditional physics-based models. validation enhances accuracy reliability predicted responses, ensuring that proposed can be effectively used design optimization car components. results demonstrate potential FG-TPMS materials applications, offering improved control, are essential enhancing vehicle performance.

Language: Английский

Citations

0