Flexural wave propagation characteristics of advanced nanocomposites reinforced sandwich structure via 3D-flexibility-deep neural networks approaches DOI

Xiaohua Yang,

Lijian Jiang, Long Feng

et al.

Mechanics Based Design of Structures and Machines, Journal Year: 2024, Volume and Issue: 52(12), P. 10583 - 10611

Published: May 30, 2024

The propagation of flexural waves in advanced nanocomposites reinforced sandwich structures is a topic paramount importance the field structural engineering and materials science. This study investigates dynamic behavior such structures, focusing on wave characteristics along with longitude lateral directions their influence performance. Advanced nanocomposites, unique material properties enhanced mechanical properties, offer promising opportunities for development lightweight high-strength structures. For this important aim, first, mathematical modeling using three-dimensional flexibility theory an analytical solution procedure, results are collected. After that datasets section, hybrid deep neural networks trained, tested, validated. Through comprehensive simulations machine network validations, research elucidates complex interplay between composition, geometry, phenomena. Key parameters, as velocity, dispersion, geometry conditions analyzed to gain insights into response structure. findings contribute deeper understanding underlying physics governing nanocomposite-reinforced thereby facilitating design optimization resilient systems diverse applications.

Language: Английский

Free vibration analysis of FG-GOPRPC double cylindrical shells coupled structure surrounded by the non-uniform elastic foundation under arbitrary boundary conditions DOI
Yufeng Chang, Yu Wang, Peng Wang

et al.

Archive of Applied Mechanics, Journal Year: 2025, Volume and Issue: 95(6)

Published: May 21, 2025

Language: Английский

Citations

0
On the large deformation vibrations of Graphene platelets-reinforced composite plates located on elastic foundation: nonlinear analytical method DOI
J Chen,

Mohd Ahmed

Acta Mechanica, Journal Year: 2024, Volume and Issue: 235(8), P. 4925 - 4941

Published: June 1, 2024

Language: Английский

Citations

1
Flexural wave propagation characteristics of advanced nanocomposites reinforced sandwich structure via 3D-flexibility-deep neural networks approaches DOI

Xiaohua Yang,

Lijian Jiang, Long Feng

et al.

Mechanics Based Design of Structures and Machines, Journal Year: 2024, Volume and Issue: 52(12), P. 10583 - 10611

Published: May 30, 2024

The propagation of flexural waves in advanced nanocomposites reinforced sandwich structures is a topic paramount importance the field structural engineering and materials science. This study investigates dynamic behavior such structures, focusing on wave characteristics along with longitude lateral directions their influence performance. Advanced nanocomposites, unique material properties enhanced mechanical properties, offer promising opportunities for development lightweight high-strength structures. For this important aim, first, mathematical modeling using three-dimensional flexibility theory an analytical solution procedure, results are collected. After that datasets section, hybrid deep neural networks trained, tested, validated. Through comprehensive simulations machine network validations, research elucidates complex interplay between composition, geometry, phenomena. Key parameters, as velocity, dispersion, geometry conditions analyzed to gain insights into response structure. findings contribute deeper understanding underlying physics governing nanocomposite-reinforced thereby facilitating design optimization resilient systems diverse applications.

Language: Английский

Citations

0