Multiple damage detection in sandwich composite structures with lattice core using regression-based machine learning techniques DOI
Malihe Avarzamani,

Majid Ghazali,

Morteza Karamooz Mahdiabadi

и другие.

Mechanics Based Design of Structures and Machines, Год журнала: 2024, Номер unknown, С. 1 - 25

Опубликована: Окт. 28, 2024

The abstract discusses the importance of Structural Health Monitoring (SHM) in ensuring reliability and health structures. It introduces a novel approach for recognizing cracks delamination sandwich composite structures using advanced methods data analysis machine learning algorithms. research leverages artificial intelligence to accurately identify locate damage such as layers, which can significantly enhance troubleshooting performance, improve detection accuracy, reduce time cost associated with repairs. article presents technique utilizing regression lattice core, capable identifying locating multiple delamination, well simultaneous defects structure. is conducted based on structure's healthy damaged conditions Abaqus software, acceleration responses under random forces obtained through finite element method were used train various models, including algorithms like k-Nearest Neighborhood Regression (KNN), Light Gradient Boost Machine (LGBM), Decision Tree (DTR) detect location. results indicate that neighborhood, decision tree most successful functions, respectively, classification models identified its location structure, achieving an accuracy rate approximately 98.8%.

Язык: Английский

Numerical prediction of thermal conductivity and thermal expansion coefficient of glass fiber-reinforced polymer hybrid composites filled with hollow spheres DOI
Alireza Moradi, R. Ansari, Mohammad Kazem Hassanzadeh‐Aghdam

и другие.

Journal of Composite Materials, Год журнала: 2024, Номер 58(9), С. 1123 - 1136

Опубликована: Фев. 19, 2024

The optimal performance of composites enriched with hollow spheres has been reported in contemporary literature, whereas their thermal properties have received less attention. In this regard, a finite element method (FEM)-based micromechanical model developed systematically to investigate the role intra-matrix embedding on conductivity and coefficient expansion (CTE) unidirectional fiber-reinforced hybrid composites. so doing, concept representative volume (RVE) considers microstructures comprising an epoxy matrix, E-glass fiber, spheres, assuming perfect bonding (ideal interface) between components modified approximate periodic boundary conditions. By computing longitudinal transverse temperature gradients generated due application uniform heat flux as well geometrical variation RVE owing enhancement, CTE respectively determined. Comprehensive evaluations conducted examine effects microstructural-level features, including fiber content orientation, plus thickness effective pseudo-porous ternary E-glass/epoxy

Язык: Английский

Процитировано

8

Evaluating the role of agglomerated carbon nanotubes in the effective properties of polymer nanocomposites: An efficient micromechanics-based finite element framework DOI
Alireza Moradi, R. Ansari, Mohammad Kazem Hassanzadeh‐Aghdam

и другие.

Computational Materials Science, Год журнала: 2024, Номер 246, С. 113337 - 113337

Опубликована: Сен. 4, 2024

Язык: Английский

Процитировано

6

Morphology-Driven Nanofiller Size Measurement Integrated with Micromechanical Finite Element Analysis for Quantifying Interphase in Polymer Nanocomposites DOI
R. Mohsenzadeh, Behzad Hashemi Soudmand,

Amirhossein Najafi

и другие.

ACS Applied Materials & Interfaces, Год журнала: 2024, Номер 16(30), С. 39927 - 39941

Опубликована: Июль 17, 2024

This study focused on an innovative practical method using computer vision for particle size measurement, which serves as a key precursor predicting the elastic modulus of polymer nanocomposites. approach involved morphological segmentation nanodispersed phase. It aimed, first time, to address impractical conditions resulting from assumption idealized single-particle sizes in monodispersed system during modeling. Subsequently, micromechanical finite element framework was employed determine interphase thickness and ultrahigh molecular weight polyethylene/nanozeolite composites, following quantification nanoparticle sizes. The measurement relied images extracted scanning electron microscopy micrographs impact-fractured surfaces. To compute thickness, experimental data fitted interphase-inclusive upper-bound Hashin-Shtrikman model, with measured average per composition serving crucial input. computed based its employing hybrid modified-Hashin-Hansen Maxwell model. These estimated interfacial variables were then utilized inputs model tensile modulus. A comparison between results revealed maximum discrepancy 3.29%, indicating effectiveness methodology quantifying properties.

Язык: Английский

Процитировано

5

Analyzing the electrical conductivity of hybrid carbon nanotube/graphene nanoplatelet polymer-matrix nanocomposites: An extended physics-based modeling approach DOI
Maedeh Saberi, Alireza Moradi, R. Ansari

и другие.

Alexandria Engineering Journal, Год журнала: 2024, Номер 108, С. 344 - 353

Опубликована: Авг. 2, 2024

Язык: Английский

Процитировано

4

Effect of Hybrid Reinforcements of TiO₂, Al₂O₃, and CNTs on Superior Mechanical and Microstructural Properties in Epoxy/Carbon Fiber Composite DOI Creative Commons
Nagwa Elzayady, Walid Mahmoud Shewakh, Mohamed Abu–Okail

и другие.

Journal of Materials Research and Technology, Год журнала: 2025, Номер unknown

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Thermal and mechanical vibration response of auxetic core sandwich smart nanoplate DOI Creative Commons
Mehmet Aki̇f Koç, İsmail Esen, Mustafa Eroğlu

и другие.

Advanced Engineering Materials, Год журнала: 2024, Номер unknown

Опубликована: Июнь 12, 2024

This study explores a new nanoplate design's thermal and mechanical properties, including an auxetic core with negative Poisson ratio. The is between face plates made of barium–cobalt, which possess magnetoelectroelastic properties. analysis centers on the parameters θ , β 1 2 to clarify their influence nanoplate's performance. evaluations thermal, electrical, magnetic properties showcase its remarkable versatility sensitivity. Incorporating improves multifunctionality nanoplate, making it highly promising option for use in smart technologies. findings offer valuable insights into distinctive features structures, significantly enhancing comprehension these materials. research emphasizes potential creating groundbreaking applications fields like aerospace engineering advanced electronics, where versatile adaptable materials play vital role. contributes broader knowledge practical implementation cutting‐edge technological solutions by exploring interplay mechanical,

Язык: Английский

Процитировано

3

Thermomechanical behavior of carbon nanotube/graphene nanoplatelet-reinforced shape memory polymer nanocomposites: A micromechanics-based finite element approach DOI
Alireza Moradi, R. Ansari, Mohammad Kazem Hassanzadeh‐Aghdam

и другие.

European Journal of Mechanics - A/Solids, Год журнала: 2024, Номер 107, С. 105360 - 105360

Опубликована: Июнь 5, 2024

Язык: Английский

Процитировано

2

Investigation of the mechanical performance of the sandwich cylindrical shell with a truss core under eccentric loading DOI

Mohammad J. Zarei,

S. Hatami, Mojtaba Gorji Azandariani

и другие.

Structures, Год журнала: 2024, Номер 61, С. 105963 - 105963

Опубликована: Фев. 2, 2024

Язык: Английский

Процитировано

1

Skin thickness effects on failure mechanisms in foam infilled composite sandwich structures DOI

Hossein Malekinejad,

Amin Farrokhabadi, Gholam Hossein Rahimi

и другие.

Journal of Composite Materials, Год журнала: 2024, Номер 58(22), С. 2457 - 2471

Опубликована: Июль 1, 2024

Sandwich structures are often prone to catastrophic failure due premature separation between the core and skin layers. Geometric parameters, such as thickness of core, along with materials used in their manufacturing, directly influence resistance core. This study explores how variations affect both modes maximum load capacity sandwich structures, utilizing experimental testing numerical simulations. Specimens were categorized intact pre-debonded samples. Each specimen featured four different thicknesses (3, 6, 8, 10 layers composite laminated skins, corresponding 0.68, 1.33, 1.73, 2.1 mm respectively). The specimens incorporated a foam-filled square corrugated underwent 3-point bending tests. Results revealed significant shift mode: initially observed upper fracture (V-shaped failure), it transitioned skins cores increased thickness, particularly presence pre-debonding. Notably, predominant mode did not involve without pre-existing crack. Furthermore, simulations effectively demonstrated accurate capture loads using Hashin cohesive zone model (CZM).

Язык: Английский

Процитировано

1

Optimising Additive Manufacturing to Produce PLA Sandwich Structures by Varying Cell Type and Infill: Effect on Flexural Properties DOI Open Access
G. Marabello, Mohamed Chairi, G. Di Bella

и другие.

Journal of Composites Science, Год журнала: 2024, Номер 8(9), С. 360 - 360

Опубликована: Сен. 14, 2024

The objective of this research is to optimize additive manufacturing processes, specifically Fused Filament Fabrication (FFF) techniques, produce sandwich structures. Mono-material specimens made polylactic acid (PLA) were produced, where both the skin and core fabricated in a single print. To process, variations base cell geometry (Tri-Hexagon Gyroid) infill (5%, 25%, 50%, 75%), evaluating their effects on static three-point bending behavior. Optical microscopy was employed assess structure generated by fracture modes. findings reveal that increasing infill, thus density, enhances mechanical properties structure, although improvement such samples with 50% already demonstrate excellent performance. difference between hexagonal Gyroid structures not significant. Based microscopic analyses, it believed evolution 3D printers, from open closed chamber designs, could significantly improve deposition various layers.

Язык: Английский

Процитировано

1