Article
Computer Science, Interdisciplinary Applications
Stefano Berrone, Denise Grappein, Stefano Scialo
Summary: A new numerical approach is proposed for the simulation of coupled 3D and 1D elliptic equations, which allows independent meshes for various subdomains and high flexibility in handling geometrical complexities.
JOURNAL OF COMPUTATIONAL PHYSICS
(2022)
Article
Mathematics, Applied
Nicolas Pellerin, Sebastien Leclaire, Marcelo Reggio
Summary: The proposed interpolation method utilizes a selection algorithm based on local mesh topology to choose a suitable combination of nodes and polynomial terms, making it applicable to various flow configurations, including aerodynamic shapes in free streams. The method accurately solves laminar incompressible flow problems and correctly captures aerodynamic coefficients.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2021)
Article
Engineering, Multidisciplinary
Na Lei, Yiming Zhu, Xiaopeng Zheng, Hang Si, Zhongxuan Luo, Xianfeng Gu
Summary: This study presents theorems that distinguish the singularity configurations of cross fields and quad-meshes, dispelling the misconception that they are equivalent. It proposes that cross field singularity aligns with the cross fiber bundle, while structured mesh singularity corresponds to holomorphic line bundles. As a result, the conditions necessitating quad-mesh singularities are more stringent than those for cross field singularities.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2023)
Article
Engineering, Multidisciplinary
Mertcan Cihan, Blaz Hudobivnik, Joze Korelc, Peter Wriggers
Summary: The Virtual Element Method is a suitable approach for problems with non-conforming meshes, allowing the insertion of nodes at the virtual element boundary to achieve a conforming mesh structure.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Computer Science, Interdisciplinary Applications
Alexandros N. Nordas, Bassam A. Izzuddin
Summary: This paper presents an original and systematic methodology for surface coupling in the modeling of large-scale metal structures, which allows for the coupling of different element types and different levels of discretization detail. It also addresses domain partitioning problems involving computationally heterogeneous partitions. Numerical examples are provided to demonstrate the accuracy, versatility, and computational benefits of the developed methodology.
COMPUTERS & STRUCTURES
(2022)
Article
Computer Science, Software Engineering
Jakub Klinkovsky, Tomas Oberhuber, Radek Fucik, Vitezslav Zabka
Summary: This article presents a general multi-purpose data structure for efficient representation of conforming unstructured homogeneous meshes for scientific computations on CPU and GPU-based systems. The data structure is highly configurable and adaptable, and its high-performance computing capabilities on different hardware architectures are demonstrated through several benchmark problems.
ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE
(2022)
Article
Computer Science, Interdisciplinary Applications
Jan Helmig, Fabian Key, Marek Behr, Stefanie Elgeti
Summary: Boundary-conforming meshes offer advantages in accuracy and efficiency for finite element simulations, but become more challenging to generate with increased domain complexity. Piecing together individual boundary-conforming meshes in a modular fashion allows for coupling of solution fields at overlapping boundary interfaces, utilizing highly tuned meshes for each subdomain. The method ensures mass and energy conservation at common interfaces, with optimal convergence behavior demonstrated for Newtonian and generalized Newtonian material models in complex industrial applications such as plastic extruders.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS
(2021)
Article
Chemistry, Multidisciplinary
Hanna Sopha, Adelia Kashimbetova, Ludek Hromadko, Ivan Saldan, Ladislav Celko, Edgar B. Montufar, Jan M. Macak
Summary: In this study, large 3D Ti meshes were fabricated by direct ink writing and wirelessly anodized for the first time to prepare highly photocatalytically active TiO2 nanotube layers. The TNT layers with nanotube diameters of up to 110 nm and thicknesses of up to 3.3 μm showed superior performance for the photocatalytic degradation of methylene blue.
Article
Computer Science, Software Engineering
Xue Jiao, Yonggang Chen, Xiaohui Yang
Summary: The superior performance of deep learning in various domains has generated significant interest in its applicability to 3D computer graphics. However, learning-based 3D segmentation methods struggle with the lack of high-quality training datasets in practical applications. This paper introduces a self-supervised clustering-based network for label-free 3D mesh segmentation, demonstrating its effectiveness through ablation studies and comparative experiments on a standard benchmark.
COMPUTER-AIDED DESIGN
(2023)
Article
Mechanics
Hui Zhang, Yu-jie Huang, Shi-lang Xu, Sundararajan Natarajan, Feng Yao
Summary: This work presents an efficient numerical method to simulate the failure mechanisms of fibre reinforced concrete (FRC) at meso-scale. The proposed approach models the interfacial bond-slip behavior between fibres and mortar using cohesive interface elements and ensures displacement compatibility and force transmission between shadow fibres and the background mortar. The framework captures the major failure mechanisms, such as fibre pullout, bending and yielding, mortar cracking and spalling, and fibre-mortar interfacial debonding, enhancing the understanding of FRC damage and fracture behavior.
COMPOSITE STRUCTURES
(2023)
Article
Chemistry, Multidisciplinary
Liangxu Xu, Xuan Zhao, Xiaochen Xun, Fangfang Gao, Lusen Gao, Shuxin Bi, Liubing Fan, Shuchang Zhao, Qingliang Liao, Yue Zhang
Summary: In this study, an omnidirectionally strain-unperturbed tactile array was prepared by manipulating the fiber orientations in quasi-homogeneous elastomer meshes. The tactile array exhibited high strain insensitivity and robustness even after severe mechanical deformation. By integrating the tactile array with a microcontroller, an accurate tactile interaction system was achieved under multiaxial tensile strain.
ADVANCED FUNCTIONAL MATERIALS
(2023)
Article
Mathematics, Applied
Lixiu Wang, Qian Zhang, Zhimin Zhang
Summary: In this paper, we provide a theoretical justification for the previously observed superconvergence phenomena of the curlcurl-conforming finite elements on rectangular domains. We establish a superconvergence theory for these elements on rectangular meshes and show that the convergence rates are one-order higher than the optimal rates. Numerical experiments are conducted to confirm our theoretical results.
JOURNAL OF SCIENTIFIC COMPUTING
(2023)
Article
Computer Science, Software Engineering
Yi-Ling Qiao, Lin Gao, Jie Yang, Paul L. Rosin, Yu-Kun Lai, Xilin Chen
Summary: This article introduces a deep learning approach to process 3D meshes, which utilizes Laplacian spectral analysis to encode mesh connectivity and employs mesh feature aggregation blocks to gather local and global information. The method outperforms state-of-the-art algorithms in shape segmentation and classification tasks on ShapeNet and COSEG datasets.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2022)
Article
Computer Science, Software Engineering
Lin Gao, Tong Wu, Yu-Jie Yuan, Ming-Xian Lin, Yu-Kun Lai, Hao Zhang
Summary: TM-NET is a novel deep generative model that synthesizes textured meshes in a part-aware manner. The model achieves texture compatibility between parts in the same shape through conditional generation and generates high-frequency texture details in a high-dimensional latent space.
ACM TRANSACTIONS ON GRAPHICS
(2021)
Article
Geography, Physical
Patrick Huebner, Martin Weinmann, Sven Wursthorn, Stefan Hinz
Summary: This paper proposes a fully automatic, voxel-based indoor reconstruction approach to derive semantically-enriched and geometrically completed indoor models from unstructured triangle meshes. The approach does not rely on planar room surfaces or distinct floor levels, and is able to handle challenging indoor environments with curved room surfaces and complex vertical room layouts.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2021)
Article
Computer Science, Software Engineering
Ran Song, Yonghuai Liu, Ralph R. Martin, Karina Rodriguez Echavarria
Article
Computer Science, Software Engineering
Yin Chen, Zhan Song, Shuai Lin, Ralph R. Martin, Zhi-Quan Cheng
COMPUTER-AIDED DESIGN
(2018)
Article
Computer Science, Software Engineering
Zhi-Quan Cheng, Yin Chen, Ralph R. Martin, Tong Wu, Zhan Song
COMPUTERS & GRAPHICS-UK
(2018)
Article
Computer Science, Software Engineering
David Pickup, Juncheng Liu, Xianfang Sun, Paul L. Rosin, Ralph R. Martin, Zhiquan Cheng, Zhouhui Lian, Sipin Nie, Longcun Jin, Gil Shamai, Yusuf Sahillioglu, Ladislav Kavan
Article
Engineering, Electrical & Electronic
Wei Zhang, Ralph R. Martin, Hantao Liu
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2018)
Article
Computer Science, Artificial Intelligence
Zhe Zhu, Jiaming Lu, Minxuan Wang, Songhai Zhang, Ralph R. Martin, Hantao Liu, Shi-Min Hu
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2018)
Article
Computer Science, Information Systems
Yuan Liang, Song-Hai Zhang, Ralph Robert Martin
MULTIMEDIA TOOLS AND APPLICATIONS
(2019)
Article
Mathematics, Applied
N. Rahimi, P. Kerfriden, F. C. Lancbein, R. R. Martin
SIAM JOURNAL ON SCIENTIFIC COMPUTING
(2018)
Article
Computer Science, Software Engineering
Yin Chen, Zhan Song, Weiwei Xu, Ralph R. Martin, Zhi-Quan Cheng
COMPUTERS & GRAPHICS-UK
(2019)
Article
Mathematics, Applied
Ming Li, Jingzhi Li, Ralph Martina, Kai Zhang
ADVANCES IN APPLIED MATHEMATICS AND MECHANICS
(2019)
Article
Computer Science, Artificial Intelligence
Tailing Yuan, Yili Wang, Kun Xu, Ralph R. Martin, Shi-Min Hu
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2019)
Article
Computer Science, Software Engineering
Lingchen Dai, Kang Zhang, Xianjun Sam Zheng, Ralph R. Martin, Yina Li, Jinhui Yu
Summary: Understanding how people perceive the visual complexity of shapes has theoretical and practical implications, with one school focusing on local features and another emphasizing global characteristics. Inspired by neuroscience, a model incorporating both local and global features is 92% in agreement with human ratings. It is also consistent with the hierarchical perceptual learning theory on how different layers of neurons contribute to the perception of visual shape complexity.
Article
Computer Science, Software Engineering
Meng-Hao Guo, Zheng-Ning Liu, Tai-Jiang Mu, Dun Liang, Ralph R. Martin, Shi-Min Hu
COMPUTATIONAL VISUAL MEDIA
(2021)
Article
Computer Science, Software Engineering
Meng-Hao Guo, Jun-Xiong Cai, Zheng-Ning Liu, Tai-Jiang Mu, Ralph R. Martin, Shi-Min Hu
Summary: This paper introduces a novel framework named Point Cloud Transformer (PCT) for point cloud learning, based on Transformer and enhanced by farthest point sampling and nearest neighbor search for better capturing local context. Extensive experiments demonstrate that the PCT achieves state-of-the-art performance on shape classification, part segmentation, semantic segmentation, and normal estimation tasks.
COMPUTATIONAL VISUAL MEDIA
(2021)
Article
Computer Science, Software Engineering
Liang Han, Pin Tao, Ralph R. Martin
COMPUTATIONAL VISUAL MEDIA
(2019)