Article
Mechanics
Stephane Berbenni
Summary: A direct time-incremental homogenization Mori-Tanaka scheme is proposed for two-phase non-linear elasto-viscoplastic materials based on the exact solution of the heterogeneous linear viscoelastic Eshelby ellipsoidal inclusion problem. This approach utilizes the second-order moment of stresses and a modified secant formulation, eliminating the need for Laplace-Carson transforms. The estimates provided by this homogenization model are compared to full-field calculations for two-phase non-linear particulate composites in the literature, under both radial and non-radial loadings.
INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES
(2021)
Article
Mechanics
Przemyslaw Sadowski, Katarzyna Kowalczyk-Gajewska, Stanislaw Stupkiewicz
Summary: The Mori-Tanaka model combines simplicity and good predictive capabilities, but the use of the Perzyna-type viscoplasticity model may lead to spurious softening in the macroscopic response.
EUROPEAN JOURNAL OF MECHANICS A-SOLIDS
(2021)
Article
Thermodynamics
Neeraj Kumar Sharma
Summary: This work proposes an approach for thermo-mechanical analysis of particulate composites with different phase distributions of particles. The effects of convection cooling rate on thermal residual stresses in metal matrix composites are investigated. The study compares the predicted elastic modulus with experimental values and different models, and finds that the double inclusion model shows good agreement with FE predictions.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2023)
Article
Materials Science, Multidisciplinary
Diwakar Swaroop, Deepjyoti Dhar, Anandavel Suriyan, Atul Jain
Summary: This paper introduces the commonly used mean field homogenization methods and their applications in composite materials, analyzes the issues of multi-step Mori-Tanaka method in terms of physical admissibility and accuracy of predictions, and compares and evaluates multiple implementation schemes.
MECHANICS OF MATERIALS
(2022)
Article
Engineering, Aerospace
Junhao Liang, Xinhai He, Wenlong Tian
Summary: This paper introduces an MT-DI homogenization model with the secant formulation for predicting the Elasto-Plastic Behaviors (EPBs) of aligned inclusions reinforced composites. The model is validated to provide more accurate predictions with 2nd-order secant formulation, while the predictions may vary between those of MT and DI models with the secant formulation. However, the model has limitations in predicting the accurate EPBs for the phases of the composites.
CHINESE JOURNAL OF AERONAUTICS
(2021)
Article
Mechanics
Khaoula Dorhmi, Katell Derrien, Zehoua Hadjem-Hamouche, Leo Morin, Frederic Bonnet, Jean-Pierre Chevalier
Summary: This study investigates the effective properties of Fe-TiB2 composites obtained after hot or cold rolling, measuring the elastic moduli experimentally and using various methods. Microstructure analyses based on SEM observations are conducted to characterize particle and cracks distribution, and 3D representative microstructures are generated using the RSA method. The overall elastic behavior of the composites is determined numerically through full-field FFT-based simulations, showing a significant improvement in specific stiffness compared to standard steels regardless of processing conditions.
COMPOSITE STRUCTURES
(2021)
Article
Materials Science, Multidisciplinary
George Chatzigeorgiou
Summary: The study demonstrates that multilayered composite structures can be utilized for validating micromechanics techniques and provide the same solution as periodic homogenization methods.
MECHANICS OF MATERIALS
(2022)
Article
Polymer Science
Michal Sejnoha, Jan Vorel, Sona Valentova, Blanka Tomkova, Jana Novotna, Guido Marseglia
Summary: This study presents a simple approach to analyze a basalt fabric reinforced composite using a multiscale method. Experimental and computational investigations were conducted to obtain material properties and model parameters. The behavior of the polymer matrix and basalt fibers were studied, and corresponding models were developed to describe the mechanical response of the composite material.
Article
Engineering, Multidisciplinary
Juan Manuel Calleja Vazquez, Ling Wu, Van-Dung Nguyen, Ludovic Noels
Summary: This article introduces a pressure-dependent-based incremental-secant mean-field homogenization scheme for two-phase composites, and verifies its prediction capabilities. The scheme has natural isotropicity and accurately represents the physics of real polymeric composites.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
(2022)
Article
Mechanics
Gun Jin Yun, Fei-Yan Zhu, Hyoung Jun Lim, Hoil Choi
Summary: A novel nonlinear micromechanics constitutive model is proposed to simulate elastoplastic and ductile damage behavior for wavy carbon nanotube nanocomposites, with modified Eshelby tensor and 3D FE micromechanics model developed for verification. The effects of CNT waviness under various parameters are closely investigated.
COMPOSITE STRUCTURES
(2021)
Article
Engineering, Chemical
Ce Liang, Changgeng Shuai, Xue Yang, Xin Wang
Summary: A multi-scale model is proposed to investigate the frictional behavior of copper-CNT/polytetrafluoroethylene. The simulation results show that the filling of CNTs can effectively improve the elastic and frictional properties of the PTFE matrix, with the degree of improvement related to the orientation and mass fraction of the CNTs.
Article
Polymer Science
Seren Acarer, Inci Pir, Mertol Tufekci, Guler Turkoglu Demirkol, Nese Tufekci
Summary: Different types of nanocomposite membranes were experimentally and numerically compared in terms of mechanical properties and geometric shapes, leading to the determination of the most suitable shape and material for water treatment membranes.
Article
Mechanics
Strahinja Milenkovic, Vukasin Slavkovic, Cristiano Fragassa, Nenad Grujovic, Nikola Palic, Fatima Zivic
Summary: This paper presents the fabrication of high-porous composites made of PLA matrix reinforced with PVDF long fibers. The inclusion of PVDF fibers improved ductility while reducing flexural strength. Composite configurations with [-45, +45] raster orientation exhibited higher strength and stiffness in comparison to the [0, 90] orientation.
COMPOSITE STRUCTURES
(2021)
Article
Mechanics
Soheil Firooz, George Chatzigeorgiou, Paul Steinmann, Ali Javili
Summary: This manuscript incorporates a novel interface model into the Mori-Tanaka method to determine effective properties and average local fields of composites. The significance of interface position on the overall response of heterogeneous materials is highlighted through computational simulations and numerical examples.
INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES
(2022)
Article
Mechanics
Soheil Firooz, George Chatzigeorgiou, Paul Steinmann, Ali Javili
Summary: This paper introduces a new interface model that allows for arbitrary interface positions and highlights the importance of interface position on the overall response of heterogeneous materials. Through analytical solutions and finite element method simulations and comparisons, the effectiveness and applicability of the interface model are validated.
INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES
(2022)
Article
Engineering, Multidisciplinary
Ling Wu, Ludovic Noels
Summary: This study develops Recurrent Neural Networks (RNNs) as surrogate models of RVE response while preserving the evolution of local micro-structure state variables. Several surrogate models based on dimensionality reduction are proposed and compared, and the training strategy is optimized to enhance GPU usage. Additionally, the connection between physical state variables and hidden variables of RNN is revealed and utilized in selecting hyperparameters for RNN-based surrogate models at the design stage.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Van Dung Nguyen, Ludovic Noels
Summary: This study proposes an interaction-based material network model that can represent complex microstructure responses. Two different training procedures are employed to calibrate the model's fitting parameters. The results demonstrate the high accuracy and efficiency of the model in microstructures with the presence of voids.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Mechanics
Van Dung, Ludovic Noels
Summary: This study investigates the concept of material networks and their responses under the viewpoint of hierarchical network interactions, developing a unified and efficient framework for training and evaluation. Numerical examples demonstrate the efficiency and prediction accuracy of material networks in predicting stress-strain responses.
EUROPEAN JOURNAL OF MECHANICS A-SOLIDS
(2022)
Article
Instruments & Instrumentation
Clara Pereira Sanchez, Maxime Houbben, Jean-Francois Fagnard, Philippe Laurent, Christine Jerome, Ludovic Noels, Philippe Vanderbemden
Summary: This study investigates the Joule resistive heating phenomenon of electroactive shape memory composites when an electric current is injected at constant power. The research provides detailed analysis and numerical modeling to understand the resistive heating of the composites and identifies the parameters that are crucial in predicting the temperature rise. The findings also highlight the importance of considering external objects during the shape memory cycle for accurate resistive heating prediction.
SMART MATERIALS AND STRUCTURES
(2022)
Article
Mechanics
Kevin Spilker, Van-Dung Nguyen, Laurent Adam, Ling Wu, Ludovic Noels
Summary: The homogenized mechanical response of heterogeneous, elasto-plastic composite materials is studied using the transformation field analysis (TFA). The TFA approach relies on microscopically piece-wise uniform fields of internal variables, but ineffective spatial subdomain decompositions can lead to inaccurate predictions. To enhance the mechanical predictions, emerging inelastic fields are used for improved spatial decompositions. By estimating the interaction functions between subdomains, the TFA approach can be applied to a wide range of composite materials without predetermined reference stiffness. The results demonstrate the importance of considering inelastic fields for accurate mechanical response predictions.
COMPOSITE STRUCTURES
(2022)
Article
Engineering, Multidisciplinary
Juan Manuel Calleja Vazquez, Ling Wu, Van-Dung Nguyen, Ludovic Noels
Summary: This article introduces a pressure-dependent-based incremental-secant mean-field homogenization scheme for two-phase composites, and verifies its prediction capabilities. The scheme has natural isotropicity and accurately represents the physics of real polymeric composites.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
(2022)
Article
Instruments & Instrumentation
Clara Pereira Sanchez, Maxime Houbben, Jean-Francois Fagnard, Pascal Harmeling, Christine Jerome, Ludovic Noels, Philippe Vanderbemden
Summary: This study investigates the electro-thermo-mechanical properties of a shape memory composite (SMC) during shape memory cycles that use resistive heating. The study finds that resistive heating is crucial for achieving the desired shape change, and the electrical properties of the SMC have a significant impact on its mechanical behavior.
SMART MATERIALS AND STRUCTURES
(2022)
Article
Mechanics
Antoine Hilhorst, Julien Leclerc, Thomas Pardoen, Pascal J. Jacques, Ludovic Noels, Van-Dung Nguyen
Summary: Cantor-type high entropy alloys are a new family of metallic alloys with a combination of high strength and high fracture toughness. An experimental study on the CoCrNi alloy was conducted to determine its damage and fracture mechanisms under different stress states, and a micromechanics-based ductile fracture model was identified and validated.
ENGINEERING FRACTURE MECHANICS
(2022)
Article
Engineering, Multidisciplinary
Ling Wu, Mohib Mustafa, Javier Segurado, Ludovic Noels
Summary: This paper improves the second-order computational homogenisation method by introducing the concept of equivalent homogenised volume, addressing the limitations of classical methods in dealing with lattices and metamaterial local instabilities. The non-uniform body-force term is derived from the equivalence of energy between the micro- and macroscopic volumes, reducing the dependence of homogenised response on the volume element size.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2023)
Article
Polymer Science
Maxime Houbben, Clara Pereira Sanchez, Philippe Vanderbemden, Ludovic Noels, Christine Jerome
Summary: Electrically triggered shape memory polymers have been proven efficient and are seen as promising structural materials for high-end applications. Particularly, poly(epsilon-caprolactone) covalent adaptable networks (PCL-CAN) stand out due to their excellent shape memory properties and network reconfiguration, enabling the design of self-actuated devices with complex shapes. This study investigates the preparation of conducting PCL-CAN networks by blending multi-walled carbon nanotubes with four-arm star-shaped PCL. The composite showcases enhanced mechanical properties and excellent shape memory properties, making it suitable for self-folding multi-material design.
Article
Mechanics
Kevin Spilker, Van-Dung Nguyen, Ling Wu, Ludovic Noels
Summary: This study focuses on the macroscopic response prediction of carbon fiber reinforced woven composites by incorporating model order reduction and homogenization techniques that consider structures and mechanisms on both mesoscopic and microscopic scales. The effective macroscopic response of a woven unit cell is determined through the integration of reduced order models based on piecewise uniform fields and mean field homogenization. Model order reduction is achieved by implementing spatial decomposition for the woven composite unit cell on the mesoscale, considering the local microstructure of the yarns and inelastic fields under selected deformation conditions. Numerical tests demonstrate the high accuracy of the employed reduced order models, leading to significant computational savings.
EUROPEAN JOURNAL OF MECHANICS A-SOLIDS
(2023)
Article
Engineering, Multidisciplinary
Juan Manuel Calleja Vazquez, Ling Wu, Van-Dung Nguyen, Ludovic Noels
Summary: This paper presents the construction of a mean-field homogenization (MFH) surrogate for nonlinear stochastic multiscale analyses of two-phase composites that allows the material response to be studied up to its failure. The homogenized stochastic behavior of the studied unidirectional composite material is characterized, and a pressure-dependent MFH reduced order micromechanical model is used for stochastic nonlinear multiscale simulations. The implementation of the energy release rate calibration allows for stochastic studies on the failure characteristics of material samples without the need for costly experimental campaigns, paving the way for more complete and affordable virtual testing.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
(2023)
Article
Mechanics
Ling Wu, Cyrielle Anglade, Lucia Cobian, Miguel Monclus, Javier Segurado, Fatma Karayagiz, Ubiratan Freitas, Ludovic Noels
Summary: This study identified the parameters of a finite-strain visco-elastic-visco-plastic model with pressure dependency using experimental data obtained from tension and compression tests at different strain rates. A sequential Bayesian Inference framework with data augmentation was developed to improve the accuracy of parameter calibration. Additionally, a Generative Adversarial Network was introduced to generate synthetic datasets for finite element simulations.
INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES
(2023)
Correction
Mechanics
V. -d. Nguyen, F. Lani, T. Pardoen, X. P. Morelle, Ludovic Noels
INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES
(2023)
Correction
Materials Science, Multidisciplinary
Van-Dung Nguyen, Ling Wu, Ludovic Noels
MECHANICS OF MATERIALS
(2023)
Article
Engineering, Multidisciplinary
Akshay J. Thomas, Mateusz Jaszczuk, Eduardo Barocio, Gourab Ghosh, Ilias Bilionis, R. Byron Pipes
Summary: We propose a physics-guided transfer learning approach to predict the thermal conductivity of additively manufactured short-fiber reinforced polymers using micro-structural characteristics obtained from tensile tests. A Bayesian framework is developed to transfer the thermal conductivity properties across different extrusion deposition additive manufacturing systems. The experimental results demonstrate the effectiveness and reliability of our method in accounting for epistemic and aleatory uncertainties.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Zhen Zhang, Zongren Zou, Ellen Kuhl, George Em Karniadakis
Summary: In this study, deep learning and artificial intelligence were used to discover a mathematical model for the progression of Alzheimer's disease. By analyzing longitudinal tau positron emission tomography data, a reaction-diffusion type partial differential equation for tau protein misfolding and spreading was discovered. The results showed different misfolding models for Alzheimer's and healthy control groups, indicating faster misfolding in Alzheimer's group. The study provides a foundation for early diagnosis and treatment of Alzheimer's disease and other misfolding-protein based neurodegenerative disorders using image-based technologies.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Jonghyuk Baek, Jiun-Shyan Chen
Summary: This paper introduces an improved neural network-enhanced reproducing kernel particle method for modeling the localization of brittle fractures. By adding a neural network approximation to the background reproducing kernel approximation, the method allows for the automatic location and insertion of discontinuities in the function space, enhancing the modeling effectiveness. The proposed method uses an energy-based loss function for optimization and regularizes the approximation results through constraints on the spatial gradient of the parametric coordinates, ensuring convergence.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Bodhinanda Chandra, Ryota Hashimoto, Shinnosuke Matsumi, Ken Kamrin, Kenichi Soga
Summary: This paper proposes new and robust stabilization strategies for accurately modeling incompressible fluid flow problems in the material point method (MPM). The proposed approach adopts a monolithic displacement-pressure formulation and integrates two stabilization strategies to ensure stability. The effectiveness of the proposed method is validated through benchmark cases and real-world scenarios involving violent free-surface fluid motion.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Chao Peng, Alessandro Tasora, Dario Fusai, Dario Mangoni
Summary: This article discusses the importance of the tangent stiffness matrix of constraints in multibody systems and provides a general formulation based on quaternion parametrization. The article also presents the analytical expression of the tangent stiffness matrix derived through linearization. Examples demonstrate the positive effect of this additional stiffness term on static and eigenvalue analyses.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Thibaut Vadcard, Fabrice Thouverez, Alain Batailly
Summary: This contribution presents a methodology for detecting isolated branches of periodic solutions to nonlinear mechanical equations. The method combines harmonic balance method-based solving procedure with the Melnikov energy principle. It is able to predict the location of isolated branches of solutions near families of autonomous periodic solutions. The relevance and accuracy of this methodology are demonstrated through academic and industrial applications.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Weisheng Zhang, Yue Wang, Sung-Kie Youn, Xu Guo
Summary: This study proposes a sketch-guided topology optimization approach based on machine learning, which incorporates computer sketches as constraint functions to improve the efficiency of computer-aided structural design models and meet the design intention and requirements of designers.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Leilei Chen, Zhongwang Wang, Haojie Lian, Yujing Ma, Zhuxuan Meng, Pei Li, Chensen Ding, Stephane P. A. Bordas
Summary: This paper presents a model order reduction method for electromagnetic boundary element analysis and extends it to computer-aided design integrated shape optimization of multi-frequency electromagnetic scattering problems. The proposed method utilizes a series expansion technique and the second-order Arnoldi procedure to reduce the order of original systems. It also employs the isogeometric boundary element method to ensure geometric exactness and avoid re-meshing during shape optimization. The Grey Wolf Optimization-Artificial Neural Network is used as a surrogate model for shape optimization, with radar cross section as the objective function.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
C. Pilloton, P. N. Sun, X. Zhang, A. Colagrossi
Summary: This paper investigates the smoothed particle hydrodynamics (SPH) simulations of violent sloshing flows and discusses the impact of volume conservation errors on the simulation results. Different techniques are used to directly measure the particles' volumes and stabilization terms are introduced to control the errors. Experimental comparisons demonstrate the effectiveness of the numerical techniques.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Ye Lu, Weidong Zhu
Summary: This work presents a novel global digital image correlation (DIC) method based on a convolution finite element (C-FE) approximation. The C-FE based DIC provides highly smooth and accurate displacement and strain results with the same element size as the usual finite element (FE) based DIC. The proposed method's formulation and implementation, as well as the controlling parameters, have been discussed in detail. The C-FE method outperformed the FE method in all tested examples, demonstrating its potential for highly smooth, accurate, and robust DIC analysis.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Mojtaba Ghasemi, Mohsen Zare, Amir Zahedi, Pavel Trojovsky, Laith Abualigah, Eva Trojovska
Summary: This paper introduces Lung performance-based optimization (LPO), a novel algorithm that draws inspiration from the efficient oxygen exchange in the lungs. Through experiments and comparisons with contemporary algorithms, LPO demonstrates its effectiveness in solving complex optimization problems and shows potential for a wide range of applications.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Jingyu Hu, Yang Liu, Huixin Huang, Shutian Liu
Summary: In this study, a new topology optimization method is proposed for structures with embedded components, considering the tension/compression asymmetric interface stress constraint. The method optimizes the topology of the host structure and the layout of embedded components simultaneously, and a new interpolation model is developed to determine interface layers between the host structure and embedded components.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Qiang Liu, Wei Zhu, Xiyu Jia, Feng Ma, Jun Wen, Yixiong Wu, Kuangqi Chen, Zhenhai Zhang, Shuang Wang
Summary: In this study, a multiscale and nonlinear turbulence characteristic extraction model using a graph neural network was designed. This model can directly compute turbulence data without resorting to simplified formulas. Experimental results demonstrate that the model has high computational performance in turbulence calculation.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Jacinto Ulloa, Geert Degrande, Jose E. Andrade, Stijn Francois
Summary: This paper presents a multi-temporal formulation for simulating elastoplastic solids under cyclic loading. The proper generalized decomposition (PGD) is leveraged to decompose the displacements into multiple time scales, separating the spatial and intra-cyclic dependence from the inter-cyclic variation, thereby reducing computational burden.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Utkarsh Utkarsh, Valentin Churavy, Yingbo Ma, Tim Besard, Prakitr Srisuma, Tim Gymnich, Adam R. Gerlach, Alan Edelman, George Barbastathis, Richard D. Braatz, Christopher Rackauckas
Summary: This article presents a high-performance vendor-agnostic method for massively parallel solving of ordinary and stochastic differential equations on GPUs. The method integrates with a popular differential equation solver library and achieves state-of-the-art performance compared to hand-optimized kernels.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)