Stretchable-thickness model for dynamic responses of graphene origami reinforced badminton sport plate

Mechanics of Advanced Materials and Structures, Год журнала: 2024, Номер unknown, С. 1 - 13

Опубликована: Июль 8, 2024

In this article, we organize a stretchable-thickness model to present frequency analysis for composite plate applicable in badminton court which is reinforced with origami graphene. A higher order kinematic extended work including three bending, shear, and stretching functions, where the functions responsible satisfying out of plane shear strains stresses at top/bottom surfaces equipment. The sport or composites manufactured from copper matrix graphene effective material properties are calculated based on micromechanical models as function volume fraction folding degree origami, reinforcement temperature. numerical results presented changes fraction, reinforcement, thermal loading along thickness direction. main novelty accounting deformation investigating responses new reinforcement. verification investigation approve methodology, solution procedure. An various ratio plate.

Язык: Английский

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Bulk wave propagation analysis of imperfect FG bio-composite beams resting on variable elastic medium

Materials Today Communications, Год журнала: 2024, Номер 39, С. 108524 - 108524

Опубликована: Март 9, 2024

Язык: Английский

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Thermo-foldable bending analysis of tunable shells using a higher-order modeling

Mechanics of Advanced Materials and Structures, Год журнала: 2024, Номер unknown, С. 1 - 14

Опубликована: Июнь 25, 2024

This article investigates effect of a higher order kinematic modeling on the elasto-static bending results shell in double curved form. The graphene origami is introduced this as novel nanofiller with some chemical process to arrive at controllable material. A copper matrix used main constituent reinforced folded origami. virtual work principle derive governing equations thickness-stretchable shell. After derivation and solution, class formulas from valid sources for effective material properties verification test presented before exploring all affecting parameters ambient results. may be analysis structures responses.

Язык: Английский

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Generalized differential quadrature element solution, swarm, and GA optimization technique to obtain the optimum frequency of the laminated rotary nanostructure

Engineering Analysis with Boundary Elements, Год журнала: 2023, Номер 151, С. 101 - 114

Опубликована: Март 10, 2023

Язык: Английский

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Application of hyperbolic differential quadrature method for vibration responses of the electrorheological disk

Engineering Analysis with Boundary Elements, Год журнала: 2023, Номер 155, С. 599 - 615

Опубликована: Июль 4, 2023

Язык: Английский

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Influence of MWCNT’s waviness and aggregation factors on wave dispersion response of MWCNT-strengthened nanocomposite curved beam

Structures, Год журнала: 2023, Номер 53, С. 1239 - 1249

Опубликована: Май 12, 2023

Язык: Английский

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Dynamic stability and frequency responses of the tilted curved nanopipes in a supersonic airflow via 2D hybrid nonlocal strain gradient theory

Engineering Structures, Год журнала: 2023, Номер 301, С. 117240 - 117240

Опубликована: Дек. 19, 2023

Язык: Английский

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Bending-based solution methodology using eigenvalue-eigenvector approach for analysis of foldable reinforced Golf Clubs cylindrical shell

Mechanics of Advanced Materials and Structures, Год журнала: 2024, Номер unknown, С. 1 - 14

Опубликована: Июль 21, 2024

Язык: Английский

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Bias in Machine Learning: A Literature Review

Applied Sciences, Год журнала: 2024, Номер 14(19), С. 8860 - 8860

Опубликована: Окт. 2, 2024

Bias could be defined as the tendency to in favor or against a person group, thus promoting unfairness. In computer science, bias is called algorithmic artificial intelligence (i.e., AI) and can described showcase recurrent errors system, which result “unfair” outcomes. “outside world” are interconnected since many types of originate from external factors. The enormous variety different AI biases that have been identified diverse domains highlights need for classifying said providing detailed overview ways identify mitigate them. exist divided into categories based on origin bias, occur during stages Machine Learning ML) lifecycle. This manuscript literature study provides survey regarding corresponding approaches proposed not only ready-to-use algorithms identifying mitigating but also enhances empirical knowledge ML engineers similarity their use cases other presented this manuscript. Based findings study, it observed some better covered literature, both terms identification mitigation, whilst others studied more. overall contribution research work provide useful guideline mitigation utilized by everyone who interested developing, evaluating and/or utilizing models.

Язык: Английский

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Frequency Responses of a Graphene Oxide Reinforced Concrete Structure

Eídos, Год журнала: 2024, Номер 17(24), С. 63 - 79

Опубликована: Июль 1, 2024

This paper presents a comprehensive investigation on the vibrations of reinforced concrete structure by graphene oxide powders (GOPs) using polynomial displacement field and Generalized Differential Quadrature Method (GDQM). The study focuses analyzing dynamic behavior assessing effects three different distribution patterns GOPs its vibrations. To accurately model deformation pressure vessel, is employed, taking into account complex geometrical material properties structure. results highlight significant influence pattern natural frequencies spherical vessel. analysis reveals that variations in weight fraction arrangement have direct impact stiffness characteristics Specifically, increasing generally leads to higher frequencies, indicating enhanced structural rigidity. Moreover, GDQM demonstrate their effectiveness predicting combination these numerical techniques enables efficient reliable response, allowing for optimization design performance vessels.

Язык: Английский

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