Article
Materials Science, Multidisciplinary
Pingping Zhu, Zheng Zhong
Summary: DN gels exhibit excellent mechanical properties and unique stress-softening behavior, with the network alteration theory providing valuable insights into these phenomena. The development of a new network alteration theory in this study further enhances the understanding of damage mechanisms and improves predictive capabilities for DN gels.
MECHANICS OF MATERIALS
(2021)
Article
Engineering, Mechanical
Atri Nath, Sudhirkumar Barai, Kalyan Kumar Ray
Summary: This study examines a methodology that combines Chaboche's CIKH model and genetic algorithm optimization technique to simulate the cyclic-plastic response of materials exhibiting cyclic hardening or softening behavior. The results demonstrate the accuracy of this approach in predicting the experimental results for various materials and its comparability with existing predictions, validating its applicability.
FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES
(2022)
Article
Engineering, Industrial
Hongrui Dong, Xiaoqiang Li, Yong Li, Haibo Wang, Xingyi Peng, Saijun Zhang, Bao Meng, Yanfeng Yang, Dongsheng Li, Tudor Balan
Summary: This study investigates the effects of electric current on material flow behavior and develops corresponding constitutive models through electrically-assisted tension-compression cyclic loading tests. The results show that electric current reduces the flow stress, promotes precipitate growth, and decreases dislocation. Additionally, the elastic modulus decreases with increasing plastic strain, temperature, and current density, while the Bauschinger effect and permanent softening effect weaken. The asymmetric tension-compression behavior becomes more pronounced with increasing temperature and current density. This research provides a research basis for the application of electrically-assisted forming.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
(2022)
Article
Automation & Control Systems
Dmitry Egorov, Ilya Petrov, Juha J. Pyrhonen, Joosep Link, Raivo Stern, Peter Sergeant, Bulent Sarlioglu
Summary: This study assesses the hysteresis behavior of two NdFeB PM grades with different magnetic properties in a PMSM. The results indicate that hysteresis loss resulting from structural imperfections and magnet geometry may introduce considerable loss in NdFeB PMs applied in rotating electrical machines.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Engineering, Mechanical
Vahid Morovati, Amir Bahrololoumi, Roozbeh Dargazany
Summary: Cross-linked elastomers are reinforced materials with high stretchability and toughness, but their toughness can be compromised by accumulating damage under cyclic loadings. A physically motivated constitutive model has been proposed to explain the inelastic features, such as permanent damage, in multi-network elastomers subjected to numerous cyclic deformations. The model suggests that irreversible chain detachment and decomposition of the network due to its highly cross-linked structure are the underlying reasons for nonlinear progressive stress softening phenomenon.
INTERNATIONAL JOURNAL OF PLASTICITY
(2021)
Article
Chemistry, Physical
Wenjun Hua, Qunding Yu, Yuanjie Xiao, Wenqi Li, Meng Wang, Yuliang Chen, Zhiyong Li
Summary: Existing regression models for unbound granular materials (UGMs) fail to consider the complexity of plastic deformation accumulation behavior influenced by factors other than the number of loading cycles and stress levels. In this study, an artificial-neural-network (ANN)-based prediction model was developed, which outperformed previously published regression models in accuracy and reliability. The two major factors influencing the magnitude of accumulated plastic deformation were the shear stress ratio and the number of loading cycles.
Review
Computer Science, Artificial Intelligence
Wanting Ji, Yan Pang, Xiaoyun Jia, Zhongwei Wang, Feng Hou, Baoyan Song, Mingzhe Liu, Ruili Wang
Summary: Feature selection is a key method for data preprocessing in data mining tasks, aiming to select a feature subset based on evaluation criteria. Fuzzy rough set theory has been proven to be ideal for dealing with uncertain information in feature selection. This article provides a comprehensive review of fuzzy rough set theory and its applications, discussing challenges in feature selection methods.
WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY
(2021)
Article
Computer Science, Information Systems
Masurah Mohamad, Ali Selamat, Imam Much Subroto, Ondrej Krejcar
Summary: This study introduces a new hybrid parameterisation model that can effectively handle big data, uncertain, inconsistent, and imbalanced data. Experimental results demonstrate that the hybrid model performs well in processing various types of datasets, especially complex ones.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2021)
Article
Engineering, Civil
Niloufar Behboud, Farzin Zareian, Alireza Rezaeian
Summary: This article presents the data recorded from an experimental campaign on stiffened steel column bases. The connection configuration includes an exposed base plate with vertical stiffeners welded to reinforce the assembly. The testing program aims to document the connection behavior under cyclic loading, which is rarely studied despite its common application in existing steel structures. The qualitative observations and recorded dataset are reported, and the data set is publicly deposited for future use (DOI: 10.5281/zenodo.7058873).
EARTHQUAKE SPECTRA
(2023)
Article
Engineering, Biomedical
F. Trentadue, D. De Tommasi, G. Puglisi
Summary: This paper proposes a micromechanically-based model to describe the mechanical behavior of biodegradable copolymers suture threads under cyclic loading. The model predicts the fundamental damage and residual stretches effects, has a clear physical interpretation, and depends on a small number of parameters. Cyclic tests on Monocryl (R) monofilament sutures validate the effectiveness of the model in predicting history dependence, damage, and permanent deformations in the response.
JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS
(2021)
Article
Nanoscience & Nanotechnology
Shuo Hao, Lei Chen, Zongyuan Zou, Cheng Peng, Qixiang Jia, Hongzhong Wang, Miao Jin
Summary: The cyclic softening/hardening characteristics of a TRIP-assisted duplex stainless steel were studied within a strain amplitude range of 0.2%-1.2%, with the evolution of dislocation structures characterized by TEM. The cyclic softening rate was found to be sensitive to strain amplitude, showing a continuous decrease at higher values. Moreover, the evolution of substructures in the two phases was discussed by analyzing the characteristic peak on the second derivative curve of cyclic hysteresis loop.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2021)
Article
Engineering, Electrical & Electronic
Young T. Choi, Norman M. Wereley
Summary: This study experimentally investigated different designs of magnetorheological fluid elastomeric encapsulations (MREEs) to improve their controllable mechanical properties range. The mechanical properties of MREEs were evaluated through stress-strain tests and dynamic mechanical analysis (DMA), and more effective designs were developed to widen the range of controllable mechanical properties.
IEEE TRANSACTIONS ON MAGNETICS
(2022)
Article
Ecology
Ashkan Gholamialam, Timothy C. Matisziw, Kathleen M. Trauth
Summary: This study proposes a spatial decision support framework for informing planning efforts that involve landscape alterations impacting species' inter-habitat connectivity. By using a multiobjective least-cost path model, efficient paths supporting movement among habitats in a planning period are identified. The results indicate that representations of connectivity involving a more diverse set of objectives offer a more robust representation of complex biological movements.
Article
Computer Science, Interdisciplinary Applications
Mingchun Lin, Wei Zhou, Jiaying Liu, Gang Ma, Xuexing Cao
Summary: In this study, biaxial tests of dense and loose granular assemblies are conducted using the discrete element method. The multiscale behaviors of granular materials under loading-unloading-reloading path are investigated. The dense and loose granular assemblies exhibit different hysteresis behaviors and mesostructural evolutions.
COMPUTERS AND GEOTECHNICS
(2022)
Review
Chemistry, Physical
Andrea Karen Persons, John E. Ball, Charles Freeman, David M. Macias, Chartrisa LaShan Simpson, Brian K. Smith, Reuben F. Burch
Summary: Standards for fatigue testing of wearable sensors are lacking, leading to difficulties in direct comparisons and fatigue life predictions. Different material combinations and testing methodologies result in a variety of fatigue behaviors and life predictions for sensors.
Article
Materials Science, Multidisciplinary
Weimin Guo, Zengqing Jia, Guoqiang Liu, Ning Ding, Long Liu, Huixia Xu, Na Xu, Jianqun He, Fahmi Zairi, Xiebin Wang
Summary: This work investigates the effect of post-cladding heat treatment on the microstructure, micro-hardness, and corrosion resistance of a steel coating fabricated by laser cladding. The results show that heat treatment at 1050 degrees C improves the hardness and corrosion resistance of the coating, while treatment at 650 degrees C decreases the hardness. The better corrosion resistance of the 1050 degrees C treated coating is attributed to the higher Cr content in the martensite matrix.
JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE
(2023)
Article
Materials Science, Multidisciplinary
Mahrez Saadedine, Fahmi Zairi, Nourdine Ouali, Abderrahman Tamoud, Ning Ding, Amar Mesbah
Summary: In this article, a micromechanical model is developed to describe the visco-super-elastic behavior of swollen hydrogel-based nanocomposites. The model explicitly considers the swelling and dynamic breaking-recombination of the hydrogel network, as well as the effective interactions between nanoparticles and the swollen hydrogel network. The model is validated by comparing it to experimental data of a hydrogel-based nanocomposite with varying nanoparticle concentrations. The model shows good predictive capability for a wide range of swelling ratios, and is discussed in terms of stretching-retraction and self-healing behaviors.
MECHANICS OF MATERIALS
(2023)
Article
Materials Science, Multidisciplinary
Nan Li, Ning Ding, Linghui Song, Linan Tian, Jixue Zhou, Yuansheng Yang, Fahmi Zairi
Summary: The microstructure and tensile mechanical properties of Mg-6Zn-3Sn-0.5Mn (ZTM630) alloy with different heat treatment states were investigated. Very high cycle fatigue (VHCF) tests were performed to evaluate the long-term service properties of the alloy. After double-aging treatment, the alloy exhibited the highest tensile mechanical strength and excellent fatigue performance. Twinning behavior induced fatigue crack initiation in the double-aged alloy, while slip-dominated fatigue crack initiation occurred in the extruded alloy.
MATERIALS CHARACTERIZATION
(2023)
Article
Polymer Science
Iurii Vozniak, Victor Beloshenko, Alina Vozniak, Fahmi Zairi, Andrzej Galeski, Artur Rozanski
Summary: Shape memory materials combine switching and permanent domains for shape switching and shape recording. Severe plastic deformation is used in this study to create interfaces in thermodynamically immiscible polymers, resulting in a composite rich in interfaces. This composite can produce effective multi-shape memory with exceptional parameters due to the large amount of intimate contact layers and strain-induced crystallization formed during severe plastic deformation.
Article
Engineering, Biomedical
Karim Kandil, Fahmi Zairi, Fahed Zairi
Summary: There is a growing demand to develop predictive medicine through the creation of predictive models and digital twins of different body organs. This article presents a numerical model to estimate the long-term aging effect on the human intervertebral disc response using a microstructure-based mechanistic approach. It reveals important insights about the relationship between age-dependent microstructure features, disc mechanics, and disc damage.
ANNALS OF BIOMEDICAL ENGINEERING
(2023)
Article
Mechanics
M. Makki, G. Ayoub, C. Pannier, R. Dargazany, R. Kadri, M. Nait Abdelaziz, H. Nouri
Summary: This study presents a micromechanical-based visco-hyperelastic-viscoplastic constitutive model to describe the mechanical and fracture behavior of low-density polyethylene (LDPE) films under accelerated ultraviolet (UV) aging. The model incorporates the contributions from intermolecular and macromolecular networks and accurately captures the effects of UV aging on the material. By introducing the concept of a healthy network, the model successfully predicts the strain to fracture evolution over a wide range of UV irradiation doses.
INTERNATIONAL JOURNAL OF NON-LINEAR MECHANICS
(2023)
Article
Mechanics
Mustapha Makki, Georges Ayoub, Cheol W. Lee
Summary: Separators in commercial lithium-ion batteries exhibit highly anisotropic mechanical behavior, necessitating accurate characterization for optimal design, performance, and safety. This study presents a continuum damage coupled elastic-hyperelastic-viscoplastic model to capture the mechanical and fracture behavior of battery separators. The model is implemented as a user-defined material subroutine in finite-element software, and successfully predicts anisotropic mechanical behavior and failure under different loading conditions.
INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES
(2023)
Article
Materials Science, Multidisciplinary
L. Tian, L. Liu, N. Hou, W. Guo, Y. Zhao, F. Zairi, N. Ding
Summary: It was found that there is a competitive relationship between micron MgZn2 particles and submicron Mg4Zn7 particles in the fracture initiation process of magnesium alloys. Some of the MgZn2 particles were gathered in pairs, resulting in interaction effects. Through computed tomography technology, the size, morphology, and distribution of three-dimensional MgZn2 particles were characterized, and the relationship between stress concentration and shape ratio induced by a single particle was investigated. Empirical equations were proposed to quantify the interaction effect of two adjacent particles and were verified using real particle models. The study confirmed that the fracture initiation of the ZK60 magnesium alloy is caused by Mg4Zn7 particles considering the interaction effect of micron particles. The obtained quantitative information is valuable for understanding crack initiation in engineering materials.
MATERIALWISSENSCHAFT UND WERKSTOFFTECHNIK
(2023)
Article
Materials Science, Multidisciplinary
Zhu Yan, Fahmi Zairi, Ali Zaoui
Summary: The present study investigates the relationship between the macroscopic properties of semi-crystalline poly (vinylidene fluoride) (PVDF) and the transition from the a-phase to the ss-phase crystalline structure during mechanical loading using a hierarchical multi-scale approach. A continuum-based constitutive model is proposed to capture the material behavior of PVDF, including the amorphous molecular network orientation/relaxation process, the strain-induced morphological anisotropy induced by crystallographic texturing, and the strain-induced alpha -> ss phase transition. The coupling between deformation modes in different domains is obtained by considering interfacial interactions in the micro-macro homogenization procedure.
MECHANICS OF MATERIALS
(2023)
Article
Polymer Science
Mustapha Makki, Georges Ayoub, Cheol W. Lee, Chulheung Bae, Xavier Colin
Summary: The effect of cyclic fast charging on the lithium-ion battery separator was investigated. Microstructural and mechanical properties of the pristine and cycled separators were analyzed through SEM, XPS, and FTIR. The results showed a decrease in toughness and ductility of the separators with an increased number of charging cycles.
POLYMER DEGRADATION AND STABILITY
(2023)
Article
Polymer Science
Fateh Enouar Mamache, Amar Mesbah, Fahmi Zairi, Iurii Vozniak
Summary: This study focuses on the constitutive representation of PVDF-based piezo-composites, considering the effects of particle reinforcement, phase transition, and debonding on the electro-mechanical properties. The micromechanical model is applied to experimental data of PVDF filled with BaTiO3 particles, providing a better understanding of the separate and synergistic effects of particle reinforcement and deformation processes on the properties of PVDF-based piezo-composites.
Article
Polymer Science
Qiuyue Ding, Ning Ding, Xiangfeng Chen, Wenyue Guo, Fahmi Zairi
Summary: This study investigates the effect of grain boundaries (GBs) on the mechanical properties of epoxy/graphene composites through molecular dynamics simulation. Ten GB models were constructed and comparisons were made. The results revealed significant effects of GBs on the tensile and compressive behaviors, glass transition temperature (T-g), and configurations of epoxy/graphene composites. The underlying mechanisms involve multi-factor coupling, including the tensile strength of reinforcements, interfacial interaction energy, and inflection degree of reinforcements, resulting in a diversity in the tensile yield strength of the composites.
Review
Polymer Science
Ali Kassab, Dawood Al Nabhani, Pravansu Mohanty, Christopher Pannier, Georges Y. Ayoub
Summary: This comprehensive review explores the potential of distributed recycling by additive manufacturing as an effective approach to plastic waste management. It discusses the complexities of the recycling process, optimization of 3D printing parameters, challenges, and the mechanical properties of recycled materials.
Article
Electrochemistry
Mustapha Makki, Cheol W. Lee, Georges Ayoub
Summary: This paper presents a hybrid model to predict the stress distribution in the separator of an electric vehicle battery cell during fast charging. Experimental data is used to determine the model parameters, and the study finds that the separator experiences significant stress during fast charging, leading to progressive damage accumulation. Understanding and mitigating mechanical degradation in the separator materials is therefore crucial.
Article
Materials Science, Multidisciplinary
R. Serrano, G. Ayoub, R. Ambriz
Summary: This work focuses on understanding the mechanical behavior of CMT-welded joints in AA6061-T651 aluminum alloy and establishing a correlation with the microstructural features observed in the weld zones. A mathematical framework of a coupled continuum damage mechanics and anisotropic plasticity model is presented to accurately describe the mechanical behavior, fracture, and damage evolution of the welded joints. The proposed model achieves a high degree of accuracy and successfully predicts critical mechanical properties for the aluminum alloy CMT welds and their respective weld zones. The model demonstrates its ability to capture the evolution of damage and provides valuable insights into the fracture and damage evolution of the welds.
JOURNAL OF MATERIALS SCIENCE
(2023)
