Bending responses of graphene nanoplatelets reinforced sandwich cylindrical micro panel with piezoelectric layers

Mechanics of Advanced Materials and Structures, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 16

Published: Aug. 4, 2024

Bending responses of a nanocomposite-reinforced cylindrical panel are studied in this article. A shell is assumed micro scale and sandwiched by piezoelectric layers. In article, micro-size dependent theory named as the modified couple stress (MCST) analytically employed kinematic relations extended through employing shear deformable model order to investigate electroelastic bending three-layered micro-shell bonded between smart layers subjected an applied voltage, external internal pressures. The rested on two parametrically elastic foundation. develop constitutive relations, mixture's rule well Halpin-Tsai utilized compute governing equations. Electroelastostatic obtained trigonometric functions. large parametric analysis presented explore deflection with change thickness layer radius, length radius ratio, different characteristics nanoplatelet reinforcement for both pressure. proposed composite electromechanical structure may be used structures systems. controllable system can suggested usage graphene nanoplatelets because flexibility affecting parameters.

Language: Английский

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Nonlinear transient response of graphene platelets reinforced metal foams annular plate considering rotating motion and initial geometric imperfection

Aerospace Science and Technology, Journal Year: 2023, Volume and Issue: 142, P. 108693 - 108693

Published: Oct. 30, 2023

Language: Английский

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Introducing ANN-GP algorithm to estimate transient bending of the functionally graded graphene origami-enabled auxetic metamaterial structures

Mechanics of Advanced Materials and Structures, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 20

Published: April 27, 2024

This article presents a new method called the artificial neural networks-genetic programming (ANNs-GP) algorithm, which effectively predicts bending behavior of functionally graded graphene origami-enabled auxetic metamaterial (FG-GORAM) structures under transient conditions. Functionally materials (FGMs) display spatial heterogeneity in their composition and microstructure, resulting distinctive mechanical characteristics that make them well-suited for wide range engineering applications. The objective this study is to create prediction model can accurately capture intricate FGM structures. To do this, researchers have used ANN-GP technique, combines ANNs with GP. ANN component acquires knowledge from dataset including actual or simulated data, while GP fine-tunes structure parameters network improve its ability accurate predictions. proposed algorithm strengths predict FG-GORAM robust efficient, allowing designers engineers optimize performance reliability these various effectiveness proved by comparing it experimental data. shows has potential be useful tool designing analyzing sophisticated

Language: Английский

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Transient bending analysis of the graphene nanoplatelets reinforced sandwich concrete building structure validated by machine learning algorithm

Mechanics of Advanced Materials and Structures, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 22

Published: May 17, 2024

This paper demonstrates a thorough examination of the bending behavior sandwich concrete building structures that are reinforced with graphene nanoplatelets (GPLs). The analysis is confirmed using machine learning technique. Sandwich have notable benefits in terms strength, longevity, and thermal insulation, making them well-suited for many applications. Integrating GPLs into matrix improves mechanical characteristics performance these structures, especially behavior. study utilizes technique to verify characterization temporary structure nanoplatelets. approach dataset consisting simulated data create prediction model can reliably estimate response under different loading situations. algorithm's effectiveness dependability optimizing design demonstrated through validation against results. provides engineers designers powerful tool. enhances comprehension use approaches analyzing designing sophisticated structural materials systems.

Language: Английский

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AI-based solution on the efficient structural design of the graphene-platelets reinforced concrete ceilings

Mechanics of Advanced Materials and Structures, Journal Year: 2023, Volume and Issue: 31(22), P. 5581 - 5604

Published: June 8, 2023

Due to the importance of safety in process structural designing modern buildings' ceiling, this study gravitates on a novel topic analyzing thermoelastic response concrete ceiling reinforced with nanoparticles graphene-platelets (GPL). To end, mentioned is considered as fully-clamped rectangular plate exposed simultaneous impact thermal and mechanical loads. The exact form elasticity theory conjunction differential quadrature method employed for acquiring behavior system. Then, an artificial intelligence-based used accelerate computational process. Efficiency accuracy solution are examined verified by means comparative study. results article would be broadly design constructions near future.

Language: Английский

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Machine learning method as a tool to estimate the vibrations of the concrete structures reinforced by advanced nanocomposites

Mechanics of Advanced Materials and Structures, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 17

Published: May 29, 2024

The integration of advanced nanocomposites into concrete structures presents a promising avenue for enhancing their mechanical properties and durability. However, accurately predicting the vibrations such remains complex challenging task due to nonlinear behavior materials involved intricate interplay various influencing factors. In this study, we propose application machine learning techniques as powerful tool estimating reinforced with nanocomposites. By leveraging vast amounts data generated from mathematical modeling, algorithms can effectively capture relationships between material properties, structural configurations, environmental conditions, vibration responses. This article provides modeling simulation input methods suitable prediction in structures, including artificial neural networks. Furthermore, discuss key considerations challenges associated developing accurate reliable models specific domain, feature selection, model complexity, quality, interpretability. Through comprehensive highlight potential versatile efficient graphene oxide powders (GOPs). design, analysis, maintenance not only facilitates more predictions but also enables proactive decision-making optimization performance. Finally, outline future research directions opportunities further advancing field engineering nanocomposite materials.

Language: Английский

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A review of recent progress in the graphene syntheses and its applications

Mechanics of Advanced Materials and Structures, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 33

Published: Nov. 17, 2024

Graphene, a single layer of carbon atoms arranged in two-dimensional honeycomb lattice, has garnered significant attention recent years due to its exceptional properties and diverse potential applications. This article provides an overview graphene synthesis, wide-ranging applications, the associated challenges opportunities. Several methods have been developed for synthesizing, including mechanical exfoliation, chemical vapor deposition (CVD), electrochemical synthesis. These techniques offer varying levels scalability, quality, cost-effectiveness, catering specific needs different Graphene's unique properties, such as high electrical thermal conductivity, strength, flexibility, led integration into numerous fields, electronics, energy, medical industry, aerospace. Despite immense potential, faces related large-scale production, environmental impact, standardization synthesis techniques. Additionally, development cost-effective scalable manufacturing processes remains priority. Furthermore, graphene's role enabling sustainable technologies enhancing existing products underscores importance shaping future various industries. In conclusion, significantly progressed, leading

Language: Английский

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Nonlinear vibrations and critical angular velocity information of the high-speed rotating eccentric disk made of Gori-metamaterials: Introducing data-driven solution for solving the nonlinear problems

Thin-Walled Structures, Journal Year: 2024, Volume and Issue: 202, P. 112077 - 112077

Published: May 31, 2024

Language: Английский

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Aerodynamic stability analysis of the concrete ceiling reinforced with advanced functionally graded nano-materials: A sustainable approach for construction materials

Mechanics of Advanced Materials and Structures, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 15

Published: March 7, 2024

Proper consideration should be given to the stability of new concrete in order assure quality building engineering, while also demanding its excellent flowability. The inadequate initial state negatively impacts long-term durability reinforced structures, although this issue has not been well addressed. This work focuses on assessing aerodynamic response ceilings with advanced functionally graded nano-materials. As reinforcement current structure, graphene oxide powders (GOPs) are used improved material properties than other types reinforcement. For mathematical modeling Reddy's Higher-order Shear Deformation Theory is model work's displacement fields. Also, perturbation force mathematically described using Bernoulli equation for potential flow. After that a method involves separating variables, we may get answer pressure ultimate form. Haber-Schaim foundation made auxetic Cartesian coordinate system high accuracy. obtaining governing equations and associated boundary conditions, meshless approach weighted orthogonal basis Kronecker delta-based shape functions solve equations. Finally, some suggestions improving aerodynamics flutter velocity airflow presented plate by GOPs related industries.

Language: Английский

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Introducing advanced nanocomposites to improve the efficiency and stability of the concrete systems as the main part of bridge construction

Mechanics of Advanced Materials and Structures, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 12

Published: May 31, 2024

This research presents the use of advanced nanocomposites in bridge building as a way to improve stability and efficiency concrete structures. By using nanocomposites, problems with performance under different loading circumstances, durability, structural integrity have be addressed. study examines behavior structures reinforced cutting-edge shear deformation theory, numerical solution process, Hamilton's principle. The starts out by examining makeup features nanocomposite materials, emphasizing how they may enhance mechanical qualities concrete. dynamic response various scenarios are assessed simulations analysis grounded on complex relationship between performance, geometry, material composition is captured theory. nanocomposite-reinforced structures, including their stiffness, strength, weight fraction fully understood thanks this theoretical framework. study's conclusions provide insight into well-suited sophisticated for boosting strength constructions, especially when it comes bridges. Engineers researchers system design robust sustainable infrastructure development principle, methodologies.

Language: Английский

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