Article
Engineering, Multidisciplinary
Ying-Qing Huang, Yuan-Fan Yang, Ji-Zhen Wang, Xiao-Chuan Liu, Hai-Bo Chen
Summary: This article introduces unsymmetric finite elements based on the virtual work principle, extending incompatible quadrilateral and hexahedral elements. The approach uses isoparametric shape functions and incompatible functions as test functions, with the addition of internal nodes for trial functions with quadratic completeness. By establishing a local coordinate frame, trial shape functions can be explicitly obtained, avoiding matrix inversion and maintaining high numerical accuracy. The elements exhibit insensitivity to mesh distortion and have easy implementation.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Nai-Cheng Wu, Ying-Qing Huang, Hai -Bo Chen
Summary: In this paper, a new incompatible unsymmetric 8-node hexahedral solid-shell element is proposed with different sets of trial and test functions. The new element inherits advantages from the original solid element and also eliminates typical locking phenomena for shell elements. Numerical investigations show that the new element is insensitive to mesh distortion and has rapid convergence. It can provide locking-free predictions with high precision for thin shell structures. Furthermore, the accuracy of the element is demonstrated in geometrically nonlinear analysis.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Zhi Li, Song Cen, Chenfeng Li
Summary: This paper aims to extend an unsymmetric hexahedral solid element with high distortion tolerance for geometrically nonlinear analysis using analytical trial functions. The study focuses on constructing incremental nonlinear formulations through two different approaches and successfully updates stresses containing linear analytical trial functions. Numerical examples demonstrate superior performance compared to conventional symmetric nonlinear solid elements.
ENGINEERING COMPUTATIONS
(2021)
Article
Engineering, Multidisciplinary
Huan-Pu Wu, Yan Shang, Song Cen, Chen-Feng Li
Summary: In this paper, a penalty unsymmetric finite element framework is derived for the consistent couple stress theory using the virtual work principle. The C1 continuity requirement is satisfied by using the penalty function method to constrain the independently introduced rotations. The proposed framework includes 8-node quadrilateral and 20-node hexahedral solid elements for analyzing the size-dependent mechanical responses.
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
(2023)
Article
Engineering, Mechanical
Yu-Fei Wang, Song Cen, Chen-Feng Li, Qun Zhang
Summary: In this paper, the authors modify the US-ATFH8 hexahedral solid element for the analysis of anisotropic nearly-incompressible hyperelastic soft tissues. The modified formulation employs linear analytical general solutions and consistent tangent modulus for formulating the trial functions, resulting in attractive properties such as absence of locking and insensitivity to mesh distortions. Numerical tests demonstrate high accuracy and faster convergence rates compared to existing models.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2023)
Article
Engineering, Multidisciplinary
Yuan-Fan Yang, Ying-Qing Huang, Ji-Zhen Wang, Xiao-Chuan Liu, Hai-Bo Chen
Summary: In this paper, two 8-node quadrilateral elements are developed by introducing two different incompatible modes into the unsymmetric formulation. These elements exhibit higher tolerance to mesh distortion in shearing-dominated problems and provide exact solutions for both pure and linear bending problems. They are also invariant, rapidly converging, and free of various locking problems.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
(2023)
Article
Engineering, Multidisciplinary
Xiaotian Chen, Wei Chen, Jiangping Xu, Wenbin Tu, Sellakkutti Rajendran, Jinzhong Lu
Summary: A new 8-node quadrilateral plane element is developed for linear isotropic hardening material within the framework of updated Lagrangian unsymmetric formulation, showcasing excellent distortion resistance and computational efficiency under severe mesh distortion.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
(2021)
Article
Engineering, Multidisciplinary
Ru-Xia Ma, Song Cen, Yan Shang, Chen-Feng Li
Summary: This study extends the recent US-ATFH8 element to 3D hyper-elastic finite deformation analysis and demonstrates that the element performs well in nearly incompressible hyper-elastic 3D problems.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
(2022)
Article
Computer Science, Interdisciplinary Applications
Yan Shang, Huanpu Wu
Summary: The paper proposes two new 8-node quadrilateral membrane elements for modified couple stress elasticity based on the unsymmetric finite element method. By introducing nodal rotation degrees of freedom and penalty function constraints, the elements achieve good distortion tolerance. The trial functions in these elements are constructed based on stress functions to effectively simulate size-dependent plane problems.
ENGINEERING COMPUTATIONS
(2022)
Article
Computer Science, Interdisciplinary Applications
Yan Shang, Ya-Dong Liu, Shi-Xuan Liu
Summary: This study introduces a new four-node quadrilateral displacement-based Trefftz-type plate element for bending analysis of orthotropic plates within the unsymmetric finite element method framework. It effectively enriches deflection by nodal rotation degrees of freedom and uses Trefftz functions to satisfy governing equations. The new plate element shows good performance, free of shear locking problem, and tolerant to mesh distortion.
ENGINEERING WITH COMPUTERS
(2022)
Article
Computer Science, Software Engineering
Teseo Schneider, Yixin Hu, Xifeng Gao, Jeremie Dumas, Denis Zorin, Daniele Panozzo
Summary: The Finite Element Method (FEM) is commonly used to solve discrete Partial Differential Equations (PDEs) in engineering and graphics applications. This study introduces a set of benchmark problems and compares the performance of different element types for solving common elliptic PDEs using tetrahedral and hexahedral meshes. The results suggest that for certain problem sets and available mesh generation algorithms, quadratic tetrahedral elements perform well and can outperform hexahedral elements in structural analysis, thermal analysis, and low Reynolds number flows.
ACM TRANSACTIONS ON GRAPHICS
(2022)
Article
Biotechnology & Applied Microbiology
Kalin D. Gibbons, Vahid Malbouby, Oliver Alvarez, Clare K. Fitzpatrick
Summary: Osteoarthritis of the knee is a common condition that affects the elderly population and has a significant impact on both finances and quality of life. Computational tools, specifically deep learning, offer a promising solution for studying knee biomechanics without the need for invasive procedures or expensive cadaveric studies. In this study, a fully automated pipeline was developed to generate finite element simulations from magnetic resonance knee images. The pipeline utilized a convolutional neural network for image segmentation and a meshing algorithm to create simulation-ready meshes. The results showed that the pipeline was able to produce high-quality meshes in a short amount of time, enabling large-scale studies of the knee. Comparison between manual and automated reconstructions demonstrated comparable results, indicating the feasibility of this approach for population-sized finite element studies. This framework, combined with further advancements in deep learning, offers a valuable tool for investigating the natural knee and its biomechanics on a population level.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Article
Engineering, Multidisciplinary
Bhagyashree Prabhune, Krishnan Suresh
Summary: The finite element method requires tangle-free elements and convex quadrilateral and hexahedral elements. However, generating high-quality tangle-free meshes, especially 3D hexahedral meshes, is challenging. The tangled finite element method (TFEM) was proposed to handle concave quadrilateral elements but is computationally expensive and complex. Here, they present a computationally efficient isoparametric-TFEM (i-TFEM) framework for inverted quadrilateral and hexahedral elements, which is simple, efficient, and accurate with optimal convergence rate.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2023)
Article
Engineering, Multidisciplinary
Wenchen Yuan, Kam Yim Sze
Summary: This paper introduces 8-node hexahedral elements for gradient elasticity analyses using the generalized discrete Kirchhoff and the relaxed hybrid-stress methods, achieving quadratic completeness in C-0 displacement interpolation. The new 8-node hexahedral elements are marginally more accurate than the previously devised 4-node tetrahedral elements.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
(2022)
Article
Mechanics
Hocine Kebir, Wajdi Zouari, Mustapha Assarar, Rezak Ayad
Summary: This paper presents a new eight-node hexahedral finite element method for estimating the elastic properties of fiber-reinforced composite materials and structures. The method combines hexahedral elements and truss elements to simulate the interaction between the matrix and fibers. With this method, it is possible to easily study 3D composite structures with complex reinforcement shapes.
COMPOSITE STRUCTURES
(2023)
Article
Engineering, Multidisciplinary
Jinlong Fu, Dunhui Xiao, Dongfeng Li, Hywel R. Thomas, Chenfeng Li
Summary: This paper presents an efficient method that combines machine learning-based characterization of 2D images with statistical reconstruction of 3D microstructures. By fitting supervised machine learning models, the latent stochasticity of 2D images is mastered, and a morphology integration scheme is developed to project the 2D morphological statistics into the 3D space. Experimental results confirm that the proposed method can economically and accurately reproduce 3D microstructures that preserve the statistical characteristics, geometrical irregularities, long-distance connectivity, and anisotropy present in 2D cross-sectional images.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Energy & Fuels
Yuxiang Gao, Xi Jin, Liumei Teng, Sohrab Rohani, Minyu He, Jiangling Li, Shan Ren, Qingcai Liu, Junbin Huang, Huamei Duan, Yuntao Xin, Weizao Liu
Summary: This study proposes a novel process using copperas, a solid waste, to extract magnesium and nickel from laterite ore for simultaneous CO2 mineralization and recovery of nickel. The copperas is decomposed into SO2, sulfating the laterite ore and the addition of Na2SO4 facilitates the formation of low melting point substances, enhancing the extraction efficiency. The heat of sulfation compensates the heat of copperas decomposition, reducing overall energy consumption. The carbonation experiments reveal the optimal CO2 storage capacity of approximately 291 kg.t? 1 laterite ore. Compared to the conventional acid-based Mg extraction process, this cheap method avoids reagent recycling and reduces the amount of alkali used.
Article
Energy & Fuels
Hongli Wu, Liumei Teng, Weizao Liu, Handan Zhang, Junbin Huang, Qingcai Liu
Summary: Manganese carbonate ore is the most abundant manganese ore in China, but the mining and beneficiation process generates a large amount of hazardous manganese tailings. This study investigated the effects of calcination temperature on the denitration performance and physicochemical properties of manganese tailings, and found that the best catalytic activity can be achieved at a calcination temperature of 500°C. Manganese tailings can be effectively utilized for reducing NO emissions.
Article
Genetics & Heredity
Yong Liu, Jing Zhang, Zefan Du, Junbin Huang, Yucai Cheng, Wenfang Yi, Tianwen Li, Jing Yang, Chun Chen
Summary: This study found that the high expression of PTPN1, PTPN6, and PTPN7 is significantly associated with poor overall survival in AML patients. Furthermore, the high expression of PTPN6 in both AML patients and AML cell lines suggests that it may serve as a diagnostic and prognostic marker for AML.
FRONTIERS IN GENETICS
(2023)
Review
Oncology
Ruizhi Zhou, Tianqi Liang, Tianwen Li, Junbin Huang, Chun Chen
Summary: L-asparaginase is commonly used to treat acute lymphoblastic leukaemia in children, but its use is limited due to immunogenicity and drug resistance. To address this issue, new L-asparaginase variants have been developed, but allergic reactions still occur in some patients. The development of novel L-asparaginase and personalized treatment for paediatric haematological neoplasms are important areas of research.
FRONTIERS IN ONCOLOGY
(2023)
Article
Biochemistry & Molecular Biology
Xiaoyang Chen, Qiutao Xu, Yaping Yue, Yuhang Duan, Hao Liu, Xiaolin Chen, Junbin Huang, Lu Zheng
Summary: Pathogen attack increases reactive oxygen species (ROS) levels in plants, which activate plant defense mechanisms. Our study used a quantitative proteomics approach to map oxidized cysteine sites in rice leaves and identified proteins involved in various biological processes, including defense response pathways. We found that infection by Magnaporthe oryzae increased oxidative modification levels of cysteine sites in ribosomal proteins, promoting the translational efficiency of mRNAs involved in defense responses. Our findings reveal a novel role of post-translational modifications and provide valuable resources for future research on protein redox regulation.
PLANT COMMUNICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Junchao Zhang, Yidong Luo, Junbin Huang, Ying Liu, Jiayi Ma
Summary: A multi-exposure image fusion method based on perception enhanced structural patch decomposition (PESPD-MEF) is proposed, which decomposes and fuses image patches to generate informative and perception-realistic results. The method outperforms state-of-the-art methods in terms of perceptual realism for both multi-exposure images and single low-light image enhancement.
INFORMATION FUSION
(2023)
Editorial Material
Plant Sciences
Hanfei Liu, Yanyan Li, Xihong Li, Hao Liu, Junbin Huang, Lu Zheng
Review
Oncology
Yong Liu, Zefan Du, Junbin Huang, Tianwen Li, Jing Zhang, Yixian Li, Wenfang Yi, Chun Chen
Summary: Ferroptosis, an iron-dependent programmed cell death, has been discovered in recent years. It is characterized by the accumulation of lipid reactive oxygen species in cells, leading to oxidative stress and cell death. It plays a pivotal role in normal physiology and the development of various diseases.
FRONTIERS IN ONCOLOGY
(2023)
Article
Oncology
Junbin Huang, Guanhua Hu, Pan Suo, Lu Bai, Yifei Cheng, Yu Wang, XiaoHui Zhang, KaiYan Liu, YuQian Sun, LanPing Xu, Jun Kong, ChenHua Yan, Xiaojun Huang
Summary: A retrospective study on 25 pediatric AMKL patients without DS was conducted, and the results showed that patients with trisomy 19 and MRD negative pre-HSCT had better outcomes. Therefore, haploidentical HSCT may be an option for high-risk AMKL patients without DS.
FRONTIERS IN ONCOLOGY
(2023)
Article
Oncology
Qin Zhou, Lifen Huang, Yong Liu, Junbin Huang, Luping Wen, Jing Yang, Jintang Liang, Yun Chen, Chun Chen
Summary: This study analyzed the transcriptome of patients with aplastic anemia (AA) from peripheral blood through single-cell sequencing and revealed the affected metabolic pathways. It was found that the metabolic abnormalities of T lymphocytes mainly focused on glycolysis/gluconeogenesis, while those of natural killer cells concentrated in oxidative phosphorylation. Key genes involved in abnormal metabolic processes were identified through differential gene expression analysis. The activation of tumor necrosis factor superfamily, member 12 (TNFSM12) in tumor necrosis factor (TNF) signaling was broadly observed in AA, suggesting that targeting immune cell's abnormal metabolic pathways may contribute to the development of novel treatment strategies.
FRONTIERS IN ONCOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Sitong Chen, Junbin Huang, Wen Liu, Hongcan Gu
Summary: In this study, the effects of rotation on the reflection spectrum of a polyimide-coated Fibre Bragg Grating (FBG) for real-time temperature monitoring of a generator or electric motor rotor were analyzed using formulas. The measurement error resulting from low-speed operation was evaluated using the finite element method. Furthermore, the key design of the FBG sensors and fiber optic rotary joint (FORJ) mating part were investigated, and the reliability of the measurement system was tested by monitoring the temperature of a rotating shaft.
OPTICAL FIBER TECHNOLOGY
(2023)
Article
Engineering, Environmental
Hongli Wu, Weizao Liu, Jun Cao, Junbin Huang, Qingcai Liu
Summary: Mn-Ti supported Ce catalysts were synthesized and their denitration performance and SO2 resistance were investigated. The modified catalyst showed improved low temperature catalytic performance and excellent SO2 resistance. The presence of Ce oxides improved the NH3-SCR performance and retained more oxidation performance after being poisoned by SO2.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(2023)
Article
Biotechnology & Applied Microbiology
Deng Chen, Xuan Cai, Junjie Xing, Shen Chen, Juan Zhao, Zhiguang Qu, Guotian Li, Hao Liu, Lu Zheng, Junbin Huang, Xiao-Lin Chen
Summary: In the rice blast fungus, a lipid droplet-associated protein Nem1 was found to play a crucial role in the biogenesis and utilization of lipid droplets. Nem1 was highly expressed in conidia, but lowly expressed in appressoria, and its encoded protein was localized to lipid droplets. Deletion of NEM1 resulted in reduced numbers of lipid droplets and decreased content of diacylglycerol (DAG) or triacylglycerol (TAG).
Article
Plant Sciences
Xiaoyang Chen, Xiabing Li, Yuhang Duan, Zhangxin Pei, Hao Liu, Weixiao Yin, Junbin Huang, Chaoxi Luo, Xiaolin Chen, Guotian Li, Kabin Xie, Tom Hsiang, Lu Zheng
Summary: In this study, we identified a secreted fungal subtilase, UvPr1a, from the rice false smut fungus Ustilaginoidea virens, which interferes with rice immunity by degrading the rice protein OsSGT1, thereby promoting infection. This discovery provides tools for introducing resistance to rice false smut and deepens our understanding of plant-pathogen interactions.
