Article
Engineering, Mechanical
Amir Najibi, Payman Ghazifard, Parisa Alizadeh
Summary: This study investigated the energy absorption characteristics of functionally graded foam-filled thin-walled tubes using finite element analysis, finding that linear density variations had better energy absorption properties compared to samples with gradient exponent of 2 and 5. Additionally, an innovative high-low-high density variation pattern showed better energy absorption performance.
JOURNAL OF SANDWICH STRUCTURES & MATERIALS
(2021)
Article
Metallurgy & Metallurgical Engineering
M. Salehi, S. M. H. Mirbagheri, A. Jafari Ramiani
Summary: The study found that the deformation of multilayer foam filled tubes starts from low-strength components and propagates through high-strength components with increasing stress. Graded structures consisting of aluminum and A356 alloy foams exhibit better specific energy absorption, while zinc foam does not show positive effects on crash performance.
TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA
(2021)
Article
Materials Science, Multidisciplinary
Jun Wei Chua, Xinwei Li, Tao Li, Beng Wah Chua, Xiang Yu, Wei Zhai
Summary: This study successfully produced functionally graded foam made of Inconel 625 superalloy and proposed methods to improve sound absorption performance. The sound absorption effects can be customized by various permutations of foam layers, adjusting the thickness proportion of pore sizes, and increasing the number of distinct pore sizes used. This study provides valuable insights and mathematical guidelines in the design and manufacturing of functionally graded metallic foam for specific applications.
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY
(2022)
Article
Engineering, Civil
Yuze Nian, Shui Wan, Xiao Wang, Peng Zhou, Mehmet Avcar, Mo Li
Summary: This paper proposes a novel nature-inspired functionally graded lattice filled protection structure (FGLPS) to enhance structural energy absorption characteristics under ship impact loadings. The results show that the FGLPS can significantly reduce impact force, prolong impact time, and provide effective protection.
ENGINEERING STRUCTURES
(2023)
Article
Materials Science, Multidisciplinary
Yuze Nian, Shui Wan, Peng Zhou, Xiao Wang, Robert Santiago, Mo Li
Summary: This study evaluates the potential use of functionally graded lattice-filled composite beams and finds that they absorb more energy but yield larger crushing force compared to uniform counterparts. Various parameters have a significant impact on the crashworthiness of the structure, and multi-objective optimization results in superior Pareto solutions.
MATERIALS & DESIGN
(2021)
Article
Computer Science, Interdisciplinary Applications
Marina Alves Maia, Evandro Parente Jr, Antonio Macario Cartaxo de Melo
Summary: This work proposes an efficient methodology for the optimum design of functionally graded structures using a Kriging-based approach combined with a hybrid PSO algorithm. The surrogate model replaces high-fidelity structural responses and design variables are related to volume fraction distribution and thickness. Results demonstrate significant reduction in computational effort compared to conventional approaches.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Mechanics
Nima Movahedi, Matej Vesenjak, Irina Belova, Graeme E. Murch, Thomas Fiedler
Summary: This study explores the dynamic compression behavior and mechanical properties of functionally-graded metal syntactic foams under different particle types and aspect ratios. The findings suggest that uniform metal syntactic foams with lower aspect ratios exhibit higher overall strength, and different particle types show varying responses at higher loading velocities. The dynamic deformation of FG-MSFs originates in the weaker layer and transitions to a stronger layer at higher strains, affecting the stress-strain response.
COMPOSITE STRUCTURES
(2021)
Article
Mechanics
Pranav Kumar, Ajay Kumar
Summary: In this paper, a novel Persuaded Resilient Design is proposed to enhance the flexural rigidity of a beam by introducing geometric imperfection. By employing finite element analysis, the sustainability of a unique designed geometrically flawed beam incorporating functionally graded CNTs is determined.
MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES
(2022)
Article
Engineering, Civil
Ahmad Baroutaji, Arun Arjunan, Mark Stanford, John Robinson, Abdul Ghani Olabi
Summary: The paper introduces circular tubes designed using the concept of functionally graded thickness (FGT) for improved material distribution and energy absorption suitable for vehicle crashworthiness. Experimental and simulation studies were conducted to evaluate the performance of different FGT tube designs in terms of energy absorption and crashworthiness, resulting in the determination of optimal design parameters.
ENGINEERING STRUCTURES
(2021)
Article
Nanoscience & Nanotechnology
Nima Movahedi, Thomas Fiedler, Alper Tasdemirci, Graeme E. Murch, Irina Belova, Mustafa Guden
Summary: This study investigates the performance of functionally graded metal syntactic foams (FG-MSF) under different impact velocities. The results show that increasing the impact velocity can enhance the compressive strength and energy absorption of the foam.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2022)
Article
Engineering, Mechanical
Yipin Su, Ray W. Ogden, Michel Destrade
Summary: In this study, the voltage-induced bending response of a functionally graded dielectric plate is investigated based on the nonlinear theory of electroelasticity. It is found that the bending angle increases with the potential difference, allowing for control of the bending shape by tuning the material inhomogeneity. The stability of the bent configurations is ensured by a Hessian criterion, with stability maintained until the cross section of the bent configuration forms a complete circle at a certain voltage level.
EXTREME MECHANICS LETTERS
(2021)
Article
Chemistry, Physical
Peng Huang, Xi Sun, Xixi Su, Qiang Gao, Zhanhao Feng, Guoyin Zu
Summary: The interface bonding method has a significant impact on the mechanical properties of aluminum foam sandwich (AFS). The metallurgical-bonding method shows higher strength and energy absorption compared to adhesive bonding method.
Article
Materials Science, Multidisciplinary
Chamini Rodrigo, Shanqing Xu, Yvonne Durandet, Darren Fraser, Dong Ruan
Summary: This study investigates the flexural behavior of different types of lattice beams and finds that bidirectional lattice beams have higher flexural stiffness and strength compared to uniform and unidirectional lattice beams. The lower strength of unidirectional lattice beams is attributed to the easier collapse of thinner lattice layers on the impact side. Furthermore, the parametric study reveals that the flexural stress and specific energy absorption capacity of bidirectional lattice beams can be enhanced by manipulating the layer density gradient.
ADVANCED ENGINEERING MATERIALS
(2023)
Article
Engineering, Mechanical
Shunfeng Li, Q. M. Li
Summary: Polymeric foams, especially functionally graded foam materials, are widely studied for energy absorption applications. This study developed an analytical model to predict the responses of functionally graded polymeric foam (FGPF) under uniaxial compression loads, showing its applicability to low to moderate strain-rates. The study also demonstrated the potential for designing FGPF using optimization methods to maximize crashworthiness performance.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2021)
Article
Engineering, Civil
M. Kazemi
Summary: The study found that changing the number of layers and arrangement in sandwich beams can increase their energy absorption capacity and specific energy absorption, as well as improve crushing force efficiency.
Article
Geriatrics & Gerontology
Na Li, Runan Luo, Wenlong Zhang, Yu Wu, Chaojie Hu, Manli Liu, Diya Jiang, Ziran Jiang, Xinxin Zhao, Yiping Wang, Qing Li
Summary: The study reveals that IL-17A can promote endothelial cell aging by activating the JNK signaling pathway and upregulating FTO expression. This discovery is significant for the identification of new therapeutic targets against endothelial cell aging and related vascular complications.
Article
Mechanics
Wen Zuo, Quantian Luo, Qing Li, Guangyong Sun
Summary: Thin-walled structures made of fiber reinforced composites are commonly used in engineering practice, but there is limited research on their residual properties after high temperature and hygrothermal aging. This experimental investigation aims to study the effects of moisture absorption and high temperatures on the mechanical characteristics of fiber reinforced plastic composite tubes. The study found that crashworthiness characteristics decrease significantly with increased temperature and moisture absorption rate. The failure modes varied and were influenced by the glass transition temperature of the matrix. Moisture absorption had two stages and was affected by temperature. Microscopically, the morphology and bonding conditions between fiber and resin changed significantly due to temperature and hydrothermal aging.
COMPOSITE STRUCTURES
(2023)
Article
Mechanics
Erdong Wang, Chao Chen, Guangzhou Zhang, Quantian Luo, Qing Li, Guangyong Sun
Summary: Open-cell Kelvin lattice structures (Kelvin foams) are fabricated through the SLM process and the multiaxial mechanical behaviors of these foams are studied. It is found that the yield surface of the Kelvin foams gradually shrinks with increasing dimensional tolerance induced by the SLM process, especially under hydrostatic compression. The influence of foam filler on the yield surface is weakened when experiencing hydrostatic compression.
COMPOSITE STRUCTURES
(2023)
Article
Engineering, Biomedical
Ali Entezari, Nai-Chun Liu, Zhongpu Zhang, Jianguang Fang, Chi Wu, Boyang Wan, Michael Swain, Qing Li
Summary: Despite advances in bone scaffold design optimization, their functionality remains suboptimal due to uncertainties caused by the manufacturing process. A novel multi-objective robust optimization approach is proposed to minimize the effects of uncertainties on the optimized design. This study presents the first non-deterministic optimization of tissue scaffold, shedding light on the significant topic of scaffold design and additive manufacturing.
JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS
(2023)
Review
Engineering, Civil
Xiaojiang Lv, Zhi Xiao, Jianguang Fang, Qing Li, Fei Lei, Guangyong Sun
Summary: This paper provides a comprehensive review on the state-of-the-art assessments and design of frontal structures for protecting vulnerable road users (VRU). It evaluates impact-induced injury mechanisms of different body parts, compares safety regulations and assessment procedures for VRU protection, outlines experimental testing platforms for different VRU impacts, introduces virtual test systems, discusses various front-end structure designs for reducing VRU injuries, and reviews design optimization techniques and other protective measures for VRU.
THIN-WALLED STRUCTURES
(2023)
Article
Engineering, Civil
Yiming Zhang, Hongyi Zhang, Lemiao Qiu, Zili Wang, Shuyou Zhang, Na Qiu, Jianguang Fang
Summary: Fail-safe robustness is important for critical structural systems. Existing fail-safe topology optimization methods optimize the worst-damage scenario, but this work proposes a computationally viable fail-safe topology optimization method that considers all possible damages according to severity. The proposed framework has been evaluated for the design of cantilever beams and airplane bearing brackets, showing improved robustness compared to deterministic designs.
ENGINEERING STRUCTURES
(2023)
Review
Engineering, Mechanical
Yaozhong Wu, Jianguang Fang, Chi Wu, Cunyi Li, Guangyong Sun, Qing Li
Summary: Lightweight materials and structures have been extensively studied for design and manufacturing of more sustainable products with reduced materials and energy consumption, while maintaining proper mechanical and energy absorption characteristics. Additive manufacturing techniques have offered more freedom for designing novel lightweight materials and structures, but the rational design for desired mechanical properties remains challenging. This review comprehensively discusses the recent advances in additively manufactured materials and structures, focusing on their mechanical properties and energy absorption applications. It also addresses challenges, future directions, and optimization techniques in this field.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2023)
Article
Ergonomics
Yitao Ma, Qiang Liu, Jie Fu, Kangmin Liufu, Qing Li
Summary: In a mixed traffic environment, connected vehicle platoons face a high risk of collision in lane change scenarios due to the lack of communication and collaboration with surrounding non-connected vehicles. Therefore, a collision-avoidance lane change control method is proposed for a connected bus platoon to safely elude non-connected vehicles. This method utilizes a sensor system with multiple sensors in longitudinal and lateral directions and a platoon controller based on vehicle-to-vehicle (V2V) communication. Experimental results show that the proposed method significantly improves the safety of platoon vehicles in mixed traffic scenarios.
ACCIDENT ANALYSIS AND PREVENTION
(2023)
Article
Mechanics
Yu Lu, Qiang Liu, Zengbo Zhang, Liuye Qin, Qing Li
Summary: This study aimed to investigate the responses of riveted-bonded hybrid joints connecting CFRP and Al under tensile and cross tensile loads. Different locking modes were fabricated and analyzed. The mechanical properties and failure mechanisms were studied and compared. Numerical models were established to replicate the failure behaviors and identify damaged areas.
COMPOSITE STRUCTURES
(2023)
Article
Engineering, Multidisciplinary
Dapeng Wang, Dequan Zhang, Yuan Meng, Meide Yang, Chuizhou Meng, Xu Han, Qing Li
Summary: With the increasing complexity of engineering problems, traditional reliability analysis methods face challenges in terms of computational efficiency and accuracy. The Kriging model, a surrogate model, has been widely used in reliability analysis due to its advantages in computational efficiency and numerical accuracy. However, there are still significant issues with the Kriging model-assisted reliability analysis, such as the need for a large candidate sample pool and excessive local prediction accuracy. To address these issues, a new method called AK-HRn, which combines adaptive Kriging and n-hypersphere rings, is proposed in this study. The AK-HRn method demonstrates high efficiency and robustness in solving complex reliability analysis problems.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2023)
Article
Engineering, Mechanical
Cunyi Li, Jianguang Fang, Yuheng Wan, Na Qiu, Grant Steven, Qing Li
Summary: This study aims to develop a phase field framework for simulating the complex mechanical behaviors of laser powder bed fusion printed metallic materials. By considering the microstructural orientation induced by laser powder bed fusion, transversely isotropic Hill48 and modified Mohr-Coulomb constitutive models are incorporated to describe plasticity and fracture behaviors respectively. The proposed phase field model is able to better reproduce force-displacement responses of all specimens by considering the stress state-dependent crack initiation. Moreover, applying a transversely isotropic fracture model is necessary to accurately predict the crack path and global force-displacement responses.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2023)
Review
Engineering, Civil
Ruyang Yao, Tong Pang, Bei Zhang, Jianguang Fang, Qing Li, Guangyong Sun
Summary: This article provides a comprehensive overview of recent advances in the development of thin-walled multi-cell structures and materials (TWMCSM) for crashworthiness and protection applications in various vehicles. It covers the classification of TWMCSM, commonly-used manufacturing methods, energy absorption mechanism and characteristics, experimental testing and numerical modeling techniques, key parameters affecting crashworthiness, analytical modeling methods, design optimization procedures, typical applications and future research directions. It aims to provide informative references and a comprehensive landscape for researchers and engineers in designing new TWMCSM for better energy absorption and crashworthiness.
THIN-WALLED STRUCTURES
(2023)
Article
Engineering, Manufacturing
Chi Wu, Junjie Luo, Jingxiao Zhong, Yanan Xu, Boyang Wan, Wenwei Huang, Jianguang Fang, Grant P. Steven, Guangyong Sun, Qing Li
Summary: This study proposes a multiscale topology optimisation approach for additively manufactured lattice structures, utilizing a derivative-aware machine learning algorithm. The approach aims to optimize non-uniform unit cells and achieve a uniform strain pattern. The effectiveness of the framework is validated through experiments and practical applications, showcasing its potential in biomedicine.
ADDITIVE MANUFACTURING
(2023)
Article
Dentistry, Oral Surgery & Medicine
Pongsakorn Poovarodom, Chaiy Rungsiyakull, Jarupol Suriyawanakul, Qing Li, Keiichi Sasaki, Nobuhiro Yoda, Pimduen Rungsiyakull
Summary: This study aimed to evaluate the influence of subcrestal implant placement depth on bone remodeling using time-dependent finite element analysis (FEA) with a bone-remodeling algorithm. The study found that deeper implant placement can increase bone density, but it also increases the maximum von Mises stress and overloading elements.
JOURNAL OF PROSTHODONTIC RESEARCH
(2023)
Correction
Materials Science, Multidisciplinary
A. D. Boccardo, M. Tong, S. B. Leen, D. Tourret, J. Segurado
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
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
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
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
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
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
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
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
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
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
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
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
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
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
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)
