4.5 Article

New micromechanical approach of the coated inclusion problem: Exact solution and applications

期刊

COMPUTATIONAL MATERIALS SCIENCE
卷 62, 期 -, 页码 175-183

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.commatsci.2012.05.007

关键词

Heterogeneous materials; Micromechanics; Integral equation; Coated inclusion; Eshelby's tensor

向作者/读者索取更多资源

In this work, a new micromechanical model for the solution of the problem of coated inclusion embedded in an infinite homogeneous medium is presented. The method is based on the Green functions technique and the concept of the interior and exterior-point Eshelby tensors for an ellipsoidal inclusion. The proposed formulation is general and can be successfully applied to ellipsoidal coated inclusion in the case of anisotropic elasticity. For the particular case of spherical coated inclusion and isotropic behaviour, the exact analytic solution in terms of strain localisation tensors inside inclusion and in the coating is obtained. Using the generalized self-consistent scheme, we determine the effective elastic properties of a material containing spherical inclusions. The provided results are compared with the exact solution and other models and also with experimental data in the case of a two-phase material. (C) 2012 Elsevier B. V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Materials Science, Multidisciplinary

In situ neutron measurements and modelling of the intergranular strains in the near-β titanium alloy Ti-β21S

Viwanou Hounkpati, Sylvain Freour, David Gloaguen, Vincent Legrand, Joe Kelleher, Winfried Kockelmann, Saurabh Kabra

ACTA MATERIALIA (2016)

Article Thermodynamics

Micromechanical modeling of the anisotropic thermal conductivity of ellipsoidal inclusion-reinforced composite materials with weakly conducting interfaces

Napo Bonfoh, Cynthia Dreistadt, Hafid Sabar

INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER (2017)

Article Mechanics

Micromechanical modeling of the multi-coated ellipsoidal inclusion: application to effective thermal conductivity of composite materials

Florence Dinzart, Antoine Jeancolas, Napo Bonfoh, Hafid Sabar, Marius Mihaluta

ARCHIVE OF APPLIED MECHANICS (2018)

Article Mechanics

Effective thermal conductivity of composite ellipsoid assemblages with weakly conducting interfaces

Napo Bonfoh, Antoine Jeancolas, Florence Dinzart, Hafid Sabar, Marius Mihaluta

COMPOSITE STRUCTURES (2018)

Article Thermodynamics

Anisotropic thermal conductivity of composites with ellipsoidal inclusions and highly conducting interfaces

Napo Bonfoh, Hafid Sabar

INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER (2018)

Article Physics, Condensed Matter

A Theoretical Investigation of the Miscibility and Structural Properties of InxAlyGa1-x-yN Alloys

Ranim Mohamad, Antoine Bere, Viwanou Hounkpati, Piero Gamarra, Jun Chen, Pierre Ruterana

PHYSICA STATUS SOLIDI B-BASIC SOLID STATE PHYSICS (2018)

Article Mechanics

Innovative acrylic thermoplastic composites versus conventional composites: Improving the impact performances

G. Kinvi-Dossou, R. Matadi Boumbimba, N. Bonfoh, S. Garzon-Hernandez, D. Garcia-Gonzalez, P. Gerard, A. Arias

COMPOSITE STRUCTURES (2019)

Article Physics, Applied

The critical role of N-vacancy on chemical composition fluctuations and degradation of InAlN layer

Ranim Mohamad, Marie Pierre Chauvat, Slawomir Kret, Piero Gamarra, Sylvain Delage, Viwanou Hounkpati, Cedric Lacam, Jun Chen, Pierre Ruterana

JOURNAL OF APPLIED PHYSICS (2019)

Article Materials Science, Multidisciplinary

Misorientation dependence grain boundary complexions in <111> symmetric tilt Al grain boundaries

Prakash Parajuli, David Romeu, Viwanou Hounkpati, Ruben Mendoza-Cruz, Jun Chen, Miguel Jose Yacaman, Jacob Flowers, Arturo Ponce

ACTA MATERIALIA (2019)

Article Engineering, Multidisciplinary

Exact solution of Eshelby's inhomogeneity problem in strain gradient theory of elasticity and its applications in composite materials

Napo Bonfoh, Hafid Sabar

Summary: A new micromechanical approach based on the strain gradient elasticity theory is developed to predict the effective properties of composite materials by dealing with the problem of Eshelby's inhomogeneity. The method uses the Green's function technique to obtain an integral equation for the heterogeneous elastic problem. By utilizing this integral equation, the exact solution for Eshelby's inhomogeneity problem with spherical inhomogeneity and isotropic elastic behavior is determined. The effective elastic properties of a two-phase composite material are then predicted using Mori Tanaka's homogenization scheme through the expression of strain localization relations. The suggested approach is tested against reference models and experimental data to assess its relevance.

APPLIED MATHEMATICAL MODELLING (2023)

Proceedings Paper Thermodynamics

Characterization of the mechanical behavior of a Printed Circuit Board (PCB)

A. Atintoh, W. Kpobie, N. Bonfoh, M. Fendler, P. Lipinski

Summary: The study characterizes the anisotropic mechanical behavior of Printed Circuit Board (PCB) through a combination of experiments and numerical simulations. By conducting mechanical tests and using a multiscale homogenization approach, unknown elastic properties of the PCB were estimated. The Mechanics of Structure Genome (MSG) methodology allowed for the simultaneous estimation of all independent components of the tensor of elastic constants with low CPU time.

2021 22ND INTERNATIONAL CONFERENCE ON THERMAL, MECHANICAL AND MULTI-PHYSICS SIMULATION AND EXPERIMENTS IN MICROELECTRONICS AND MICROSYSTEMS (EUROSIME) (2021)

Proceedings Paper Computer Science, Theory & Methods

Impact Behaviour and Damage Analysis of Laminated Composites Made of Glass Fibres/Nano-Reinforced Thermoplastic Matrix

Napo Bonfoh, Rodrigue Matadi Boumbimba, Gbessiho Kinvi-Dossou, Mamadou Coulibaly

DATA-DRIVEN MODELING FOR SUSTAINABLE ENGINEERING, ICEASSM 2017 (2020)

Article Mechanics

A mesoscale modelling approach of glass fibre/Elium acrylic woven laminates for low velocity impact simulation

G. Kinvi-Dossou, N. Bonfoh, R. Matadi Boumbimba, Y. Koutsawa, F. Lachaud, A. Nyoungue, P. Gerard

COMPOSITE STRUCTURES (2020)

Article Engineering, Multidisciplinary

New exact multi-coated ellipsoidal inclusion model for anisotropic thermal conductivity of composite materials

Napo Bonfoh, Florence Dinzart, Hafid Sabar

APPLIED MATHEMATICAL MODELLING (2020)

Article Mechanics

Glass fibres reinforced acrylic thermoplastic resin-based tri-block copolymers composites: Low velocity impact response at various temperatures

R. Matadi Boumbimba, M. Coulibaly, A. Khabouchi, G. Kinvi-Dossou, N. Bonfoh, P. Gerard

COMPOSITE STRUCTURES (2017)

Correction Materials Science, Multidisciplinary

Efficiency and accuracy of GPU-parallelized Fourier spectral methods for solving phase-field models (vol 228, ,112313, 2023)

A. D. Boccardo, M. Tong, S. B. Leen, D. Tourret, J. Segurado

COMPUTATIONAL MATERIALS SCIENCE (2024)

Article Materials Science, Multidisciplinary

Deep learning interatomic potential for thermal and defect behaviour of aluminum nitride with quantum accuracy

Tao Li, Qing Hou, Jie-chao Cui, Jia-hui Yang, Ben Xu, Min Li, Jun Wang, Bao-qin Fu

Summary: This study investigates the thermal and defect properties of AlN using molecular dynamics simulation, and proposes a new method for selecting interatomic potentials, developing a new model. The developed model demonstrates high computational accuracy, providing an important tool for modeling thermal transport and defect evolution in AlN-based devices.

COMPUTATIONAL MATERIALS SCIENCE (2024)

Article Materials Science, Multidisciplinary

Illuminating the mechanical responses of amorphous boron nitride through deep learning: A molecular dynamics study

Shin-Pon Ju, Chao-Chuan Huang, Hsing-Yin Chen

Summary: Amorphous boron nitride (a-BN) is a promising ultralow-dielectric-constant material for interconnect isolation in integrated circuits. This study establishes a deep learning potential (DLP) for different forms of boron nitride and uses molecular dynamics simulations to investigate the mechanical behaviors of a-BN. The results reveal the structure-property relationships of a-BN, providing useful insights for integrating it in device applications.

COMPUTATIONAL MATERIALS SCIENCE (2024)

Article Materials Science, Multidisciplinary

Multiscale modeling of shape memory polymers foams nanocomposites

M. Salman, S. Schmauder

Summary: Shape memory polymer foams (SMPFs) are lightweight cellular materials that can recover their undeformed shape through external stimulation. Reinforcing the material with nano-clay filler improves its physical properties. Multiscale modeling techniques can be used to study the thermomechanical response of SMPFs and show good agreement with experimental results.

COMPUTATIONAL MATERIALS SCIENCE (2024)

Article Materials Science, Multidisciplinary

DFT study on zeolites' intrinsic Brønsted acidity: The case of BEA

Laura Gueci, Francesco Ferrante, Marco Bertini, Chiara Nania, Dario Duca

Summary: This study investigates the acidity of 30 Bronsted sites in the beta-zeolite framework and compares three computational methods. The results show a wide range of deprotonation energy values, and the proposed best method provides accurate calculations.

COMPUTATIONAL MATERIALS SCIENCE (2024)

Article Materials Science, Multidisciplinary

Unveiling the CO2 adsorption capabilities of biphenylene network monolayers through DFT calculations

K. A. Lopes Lima, L. A. Ribeiro Junior

Summary: Advancements in nanomaterial synthesis and characterization have led to the discovery of new carbon allotropes, including biphenylene network (BPN). The study finds that BPN lattices with a single-atom vacancy exhibit higher CO2 adsorption energies than pristine BPN. Unlike other 2D carbon allotropes, BPN does not exhibit precise CO2 sensing and selectivity by altering its band structure configuration.

COMPUTATIONAL MATERIALS SCIENCE (2024)

Article Materials Science, Multidisciplinary

Ab-initio study of quaternary Heusler alloys LiAEFeSb (AE = Be, Mg, Ca, Sr or Ba) and prediction of half-metallicity in LiSrFeSb and LiBaFeSb

Jay Kumar Sharma, Arpita Dhamija, Anand Pal, Jagdish Kumar

Summary: In this study, the quaternary Heusler alloys LiAEFeSb were investigated for their crystal structure, electronic properties, and magnetic behavior. Density functional theory calculations revealed that LiSrFeSb and LiBaFeSb exhibit half-metallic band structure and 100% spin polarization, making them excellent choices for spintronic applications.

COMPUTATIONAL MATERIALS SCIENCE (2024)

Article Materials Science, Multidisciplinary

Graph neural networks for predicting structural stability of Cd- and Zn-doped-CsPbI3

Roman A. Eremin, Innokentiy S. Humonen, Alexey A. Kazakov, Vladimir D. Lazarev, Anatoly P. Pushkarev, Semen A. Budennyy

Summary: Computational modeling of disordered crystal structures is essential for studying composition-structure-property relations. In this work, the effects of Cd and Zn substitutions on the structural stability of CsPbI3 were investigated using DFT calculations and GNN models. The study achieved accurate energy predictions for structures with high substitution contents, and the impact of data subsampling on prediction quality was comprehensively studied. Transfer learning routines were also tested, providing new perspectives for data-driven research of disordered materials.

COMPUTATIONAL MATERIALS SCIENCE (2024)

Article Materials Science, Multidisciplinary

Insight into effect of high pressure on the structural, electronic, and optical properties of KH2PO4

Zhixin Sun, Hang Dong, Yaohui Yin, Ai Wang, Zhen Fan, Guangyong Jin, Chao Xin

Summary: In this study, the crystal structure, electronic structure, and optical properties of KH2PO4: KDP crystals under different pressures were investigated using the generalized gradient approximate. It was found that high pressure caused a phase transition in KDP and greatly increased the band gap. The results suggest that high pressure enhances the compactness of KDP and improves the laser damage threshold.

COMPUTATIONAL MATERIALS SCIENCE (2024)

Article Materials Science, Multidisciplinary

Phenomenon of anti-driving force during grain boundary migration

Tingting Yu

Summary: This study presents atomistic simulations revealing that an increase in driving force may result in slower grain boundary movement and switches in the mode of grain boundary shear coupling migration. Shear coupling behavior is found to effectively alleviate stress and holds potential for stress relaxation and microstructure manipulation in materials.

COMPUTATIONAL MATERIALS SCIENCE (2024)

Article Materials Science, Multidisciplinary

The electronic properties of C2N/antimonene heterostructure regulated by the horizontal and vertical strain, external electric field and interlayer twist

Y. Zhang, X. Q. Deng, Q. Jing, Z. S. Zhang

Summary: The electronic properties of C2N/antimonene van der Waals heterostructure are investigated using density functional theory. The results show that by applying horizontal strain, vertical strain, electric field, and interlayer twist, the electronic structure can be adjusted. Additionally, the band alignment and energy states of the heterostructure can be significantly changed by applying vertical strain on the twisted structure. These findings are important for controlling the electronic properties of heterostructures.

COMPUTATIONAL MATERIALS SCIENCE (2024)

Article Materials Science, Multidisciplinary

Functionalized carbophenes as high-capacity versatile gas adsorbents: An ab initio study

Chad E. Junkermeier, Evan Larmand, Jean-Charles Morais, Jedediah Kobebel, Kat Lavarez, R. Martin Adra, Jirui Yang, Valeria Aparicio Diaz, Ricardo Paupitz, George Psofogiannakis

Summary: This study investigates the adsorption properties of carbon dioxide (CO2), methane (CH4), and dihydrogen (H2) in carbophenes functionalized with different groups. The results show that carbophenes can be promising adsorbents for these gases, with high adsorption energies and low desorption temperatures. The design and combination of functional groups can further enhance their adsorption performance.

COMPUTATIONAL MATERIALS SCIENCE (2024)

Article Materials Science, Multidisciplinary

Insights from symmetry: Improving machine-learned models for grain boundary segregation

Y. Borges, L. Huber, H. Zapolsky, R. Patte, G. Demange

Summary: Grain boundary structure is closely related to solute atom segregation, and machine learning can predict the segregation energy density. The study provides a fresh perspective on the relationship between grain boundary structure and segregation properties.

COMPUTATIONAL MATERIALS SCIENCE (2024)

Article Materials Science, Multidisciplinary

Phase-field dislocation dynamics simulations of temperature-dependent glide mechanisms in niobium

M. R. Jones, L. T. W. Fey, I. J. Beyerlein

Summary: In this work, a three-dimensional ab-initio informed phase-field-dislocation dynamics model combined with Langevin dynamics is used to investigate glide mechanisms of edge and screw dislocations in Nb at finite temperatures. It is found that the screw dislocation changes its mode of glide at two distinct temperatures, which coincides with the thermal insensitivity and athermal behavior of Nb yield strengths.

COMPUTATIONAL MATERIALS SCIENCE (2024)

Article Materials Science, Multidisciplinary

Spline-based neural network interatomic potentials: Blending classical and machine learning models

Joshua A. Vita, Dallas R. Trinkle

Summary: This study introduces a new machine learning model framework that combines the simplicity of spline-based potentials with the flexibility of neural network architectures. The simplified version of the neural network potential can efficiently describe complex datasets and explore the boundary between classical and machine learning models. Using spline filters for encoding atomic environments results in interpretable embedding layers that can incorporate expected physical behaviors and improve interpretability through neural network modifications.

COMPUTATIONAL MATERIALS SCIENCE (2024)