Thermal buckling of the concrete structures reinforced by nanocomposites: Introducing advanced deep neural networks for thermal buckling problem-Reference-Cited by-同舟云学术

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Thermal buckling of the concrete structures reinforced by nanocomposites: Introducing advanced deep neural networks for thermal buckling problem

Published:2024-06-12 Issue: Volume: Page:1-14
ISSN:1537-6494
Container-title:Mechanics of Advanced Materials and Structures
language:en
Short-container-title:Mechanics of Advanced Materials and Structures

Author:

Wang Hao¹,Yan Gongxing²³,Khairy Yasmin⁴

Affiliation:

1. College of Civil Engineering, Chongqing Vocational Institute of Engineering, Chongqing, China

2. School of Intelligent Construction, Luzhou Vocational and Technical College, Luzhou, China

3. Luzhou Key Laboratory of Intelligent Construction and Low-Carbon Technology, Luzhou, China

4. Physics Department, King Khalid University, Abha, Saudi Arabia

Funder

2022 Chongqing Education Commission Research Youth Project

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15376494.2024.2361447

Reference80 articles.

1. Computer simulation for parametric study of concrete system: Introducing novel reinforcement for concrete construction materials

2. Analyzing wave propagation in graphene-reinforced nanocomposite annular plates by the semi-analytical formulation

3. Temperature-dependent mechanical properties of defective graphene reinforced polymer nanocomposite

4. Nonlinear axisymmetric dynamic buckling of functionally graded graphene reinforced porous nanocomposite spherical caps

5. Dynamic stability of modified strain gradient theory sinusoidal viscoelastic piezoelectric polymeric functionally graded single-walled carbon nanotubes reinforced nanocomposite plate considering surface stress and agglomeration effects under hydro-thermo-electro-magneto-mechanical loadings

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