Article
Mathematics, Interdisciplinary Applications
Hu Chuanfeng, Hu Hui, Lin Hongwei, Yan Jiacong
Summary: In this study, the authors propose a method to design and optimize porous structures using isogeometric analysis (IGA) and Triply Periodic Minimal Surfaces (TPMSs). By controlling the density distribution, the designed porous structures can achieve optimal mechanical performance without increasing material usage. Experimental results demonstrate the effectiveness and efficiency of the proposed method.
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY
(2023)
Article
Engineering, Mechanical
Yang Wang, Honggang Zhao, Haibin Yang, Jiawei Liu, Dianlong Yu, Jihong Wen
Summary: This paper demonstrates the systematic design of lattice materials with low acoustic impedance using topology optimization and homogenization method, and proposes various acoustic metascreens for underwater sound insulation. Experimental results show that the designed metascreens exhibit significant sound reduction in a low and broad frequency range.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Engineering, Multidisciplinary
Hollis Smith, Julian A. Norato
Summary: A novel topology optimization method has been proposed for designing structures made of orthotropic, fiber-reinforced bars to maximize stiffness. The method extends geometry projection to use cylindrical bars reinforced with continuous fibers and ensures optimal material selection at intersection of bars. Numerical examples demonstrate the efficacy of the method in stiffness-based design of frame structures in 2D and 3D.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2021)
Article
Thermodynamics
Tao Yin, Zhen-Ming Li, Peng Peng, Wei Liu, Yu-Ying Shao, Zhi-Zhu He
Summary: A compact thermoelectric generator (TEG) configuration composed of T-shaped electrodes and connected PeN thermoelectric legs was developed to improve performance. The specific output power of the T-shaped TEG was greatly increased by 90.1% compared to conventional p-shaped TEGs. Detailed studies on coupled thermal-electrical conditions, thermal conditions, and geometric parameters were conducted, along with discussions on geometric optimizations and improvements in power generation under different heat transfer conditions.
Article
Engineering, Aerospace
Xingyun Jia, Dengji Zhou, Xunkai Wei, Hao Wang
Summary: This paper proposes a novel performance analysis framework for analyzing the various variable geometry component combinations of the adaptive cycle engine (ACE) under uncertain configurations. By optimizing the state points of the task profile, the fuel consumption rate and thrust of the engine can be improved.
AEROSPACE SCIENCE AND TECHNOLOGY
(2023)
Article
Chemistry, Physical
Rohit Modee, Sheena Agarwal, Ashwini Verma, Kavita Joshi, U. Deva Priyakumar
Summary: This study introduces a simple topological atomic descriptor TAD and the DART deep learning model for predicting energy of metal clusters. It also mentions a new dataset GNC_31-70 and demonstrates how DART can accelerate the process of identifying low energy structures.
PHYSICAL CHEMISTRY CHEMICAL PHYSICS
(2021)
Article
Engineering, Civil
Chuanlong Dong, Yixin Zhao, Teng Teng, Yirui Gao
Summary: This study proposes a long-term co-current spontaneous imbibition model and verifies its practicality and accuracy through experimental data, revealing the influence mechanisms of various factors on different stages of SI behaviors. The impact of dimensionless comprehensive parameters on the evolution of SI mass with time goes through four stages, and on the evolution of SI velocity and recovery rate goes through two stages.
JOURNAL OF HYDROLOGY
(2022)
Article
Computer Science, Interdisciplinary Applications
Alexander D. Smith, Pawel Dlotko, Victor M. Zavala
Summary: A primary hypothesis in scientific and engineering studies is that data has structure, which is traditionally described using statistics and signal processing. Topological Data Analysis offers a new perspective by representing datasets as geometric objects and providing dimensionality reduction techniques. Topological features provide multiscale information and are stable under perturbations.
COMPUTERS & CHEMICAL ENGINEERING
(2021)
Article
Computer Science, Information Systems
He Zhou, Haibo Zhou, Jianguo Li, Kai Yang, Jianping An, Xuemin Shen
Summary: With the growth of communication demands and miniaturization of mobile devices, the Internet of Things is expanding mobile terminals to a huge level. Deploying numerous base stations is necessary to handle the communication data. However, with denser deployments of HetNets comes more frequent handovers, which can increase network burden and degrade user experience, especially in high traffic areas. In this article, a unified framework is developed to investigate handover performance in wireless networks with traffic hotspots. The theoretical expressions of average distances and handover metrics are derived using stochastic geometry, capturing the correlations between users and base stations in hotspots.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Engineering, Multidisciplinary
Hollis Smith, Julian Norato
Summary: This work presents a topology optimization method for designing fiber reinforcement and spatial layout of rectangular laminated plates in a three-dimensional design region. The method uses geometry projection techniques for efficient analysis with a non-conforming mesh. The laminates are assumed to be homogeneous in thickness and a discrete set of fiber orientations is considered. The optimization involves finding the optimal volume fraction of each fiber orientation in each laminate. Numerical examples demonstrate the effectiveness of the method in improving the performance of the laminates through layup and spatial layout optimization.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2023)
Article
Physics, Multidisciplinary
Giovanni Petri, Sebastian Musslick, Biswadip Dey, Kayhan ozcimder, David Turner, Nesreen K. Ahmed, Theodeore L. Willke, Jonathan D. Cohen
Summary: This study uses methods from statistical physics to quantify the limitations of processing capacity for different types of tasks in neural networks, highlighting the importance of learning and generalization in parallel systems, as well as the tradeoff between learning efficiency and processing efficiency.
Article
Construction & Building Technology
Jian Ma, Gang Xu, Kai Wu, Chengji Xu, Yu Liu, Nanxi Dang, Qiang Zeng, Qing Lu
Summary: In this study, the impacts of lightweight ceramic sand (LCS) on cement grouts were investigated. The results showed that the partial replacement of quartz sand (QS) with LCS can alter the flowability, expansion, and compressive strength of the grouts. X-ray computed tomography (XCT) was used to quantify the structure and distribution of pores and LCS particles. The findings provide a reliable method for fabricating lightweight and high strength grouting materials and enhance the understanding of material heterogeneity in cement-based materials.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Review
Chemistry, Physical
Yunqing Kang, Yi Tang, Liyang Zhu, Bo Jiang, Xingtao Xu, Olga Guselnikova, Hexing Li, Tonu Asahi, Yusuke Yamauchi
Summary: Porous nonprecious metal-based nanomaterials have attracted considerable attention in heterogeneous catalysis due to their low cost, high surface area, efficient mass/electron transfer, tunable pore structure, and unique physicochemical properties. The phase and compositions of these materials play a critical role in their performance. This review summarizes the synthesis methods of porous nonprecious metal-based materials, explores the incorporation of boron (B) into metals, and discusses the key roles of B in related catalytic applications. Further research and development are needed to fully exploit the potential of porous nonprecious metal-based materials in heterogeneous catalysis and beyond.
Article
Physics, Multidisciplinary
Giandomenico Palumbo
Summary: This study introduces and applies non-Abelian tensor Berry connections to topological phases in multiband systems, providing a new theoretical framework to understand the emergence of non-Abelian gauge fields in condensed matter physics. By constructing these novel gauge fields, the research sheds new light on the search for novel topological phases in solid-state and synthetic systems, offering a unified framework for different multiband topological systems.
PHYSICAL REVIEW LETTERS
(2021)
Article
Chemistry, Multidisciplinary
Aurelia Li, Rocio Bueno-Perez, David Fairen-Jimenez
Summary: A new methodology was developed to extract a large dataset of metal-organic cages and organic cages from the Cambridge Structural Database, which was then used for high-throughput screening for applications such as xenon/krypton separation.
Article
Mechanics
Alessia Patton, Pablo Antolin, John-Eric Dufour, Josef Kiendl, Alessandro Reali
Summary: This paper introduces a fast and accurate stress recovery strategy for modeling the out-of-plane behavior of Kirchhoff laminated plates. The method is a two-step approach that utilizes classical composite plates theory followed by isogeometric analysis to recover out-of-plane stresses, with the effectiveness proven through extensive numerical tests.
COMPOSITE STRUCTURES
(2021)
Article
Mathematics, Applied
A. Buffa, R. Hiptmair, P. Panchal
Summary: The study examines scalar-valued shape functionals on sets of shapes that are small perturbations of a reference shape. The shapes are described by parameterizations and their closeness is measured by a Hilbert space structure on the parameter domain. The study justifies a heuristic for finding the best low-dimensional parameter subspace and proposes an adaptive algorithm for achieving a prescribed accuracy when representing the shape functional with a small number of shape parameters.
NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION
(2021)
Article
Mathematics, Interdisciplinary Applications
T. Hirschler, P. Antolin, A. Buffa
Summary: The study introduces a multiscale assembly procedure to reduce assembly time in the context of isogeometric linear elasticity of complex microstructured geometries. The developed approach involves polynomial approximation at the macro-scale and the use of lookup tables with pre-computed integrals at the micro-scale. The strategy shows promising performance in forming finite element operators and computing other quantities efficiently, such as sensitivity analyses in design optimization.
COMPUTATIONAL MECHANICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Leonardo Boledi, Benjamin Terschanski, Stefanie Elgeti, Julia Kowalski
Summary: This paper presents a numerical strategy for solving convection-coupled phase-transition problems, specifically focusing on solidification and melting. The authors track the position of the phase-change interface using a level-set method and compute the heat-flux jump using an extended ghost-cell approach. Verification cases are provided for 1D and 2D phase-transition problems.
JOURNAL OF COMPUTATIONAL PHYSICS
(2022)
Article
Mathematics, Applied
Annalisa Buffa, Ondine Chanon, Rafael Vazquez
Summary: Defeaturing involves simplifying models by removing irrelevant geometric features for simulation, enabling faster simulations and simplifying meshing. Quantitatively evaluating the impact of defeaturing is currently challenging.
MATHEMATICAL MODELS & METHODS IN APPLIED SCIENCES
(2022)
Article
Engineering, Geological
Ignacio Gonzalez Tejada, P. Antolin
Summary: A data-driven framework was used to predict the macroscopic mechanical behavior of dense packings of polydisperse granular materials. An artificial neural network scheme was found to anticipate the value of model parameters accurately, outperforming multiple linear regressions. The neural network also revealed hidden correlations between particle size distributions and macroscopic mechanical behavior.
Article
Engineering, Multidisciplinary
Pablo Antolin, Xiaodong Wei, Annalisa Buffa
Summary: We propose a novel method for numerical integration on curved polyhedra enclosed by high-order parametric surfaces. The method decomposes the polyhedron into triangular and/or rectangular pyramids and uses geometric mapping and tensor-product Gauss quadrature for integration. Folded cells, which have negative Jacobian values, are introduced in the decomposition process. It is shown that folded cells do not cause issues and can retain the same accuracy as cells with positive Jacobians. The method allows for a more flexible decomposition and can accommodate complex geometries in practical applications.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Computer Science, Interdisciplinary Applications
P. Antolin, T. Hirschler
Summary: This paper presents a novel method for solving partial differential equations on three-dimensional CAD geometries using immersed isogeometric discretizations. The method does not require quadrature schemes and relies on analytical computations for polynomial integrals over spline boundary representations. Numerical experiments show that the proposed method achieves optimal error convergence order in 2D and 3D elliptic problems. The methodology is also illustrated on 3D CAD models with industrial-level complexity.
ENGINEERING WITH COMPUTERS
(2022)
Article
Mathematics, Applied
Sebastian Hube, Marek Behr, Stefanie Elgeti, Malte Schoen, Jana Sasse, Christian Hopmann
Summary: This paper presents a novel shape optimization technique for the design of mixing elements in single-screw extruders. The study focuses on improving the mixing capabilities of single-screw extruders by adding mixing elements to enhance dynamic mixing, compensating for their shortcomings compared to multi-screw extruders.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2022)
Article
Engineering, Multidisciplinary
Felipe A. Gonzalez, Stefanie Elgeti, Marek Behr
Summary: In this work, a novel boundary-conforming mesh-update method is proposed for problems with large boundary displacements and topology changes. This method combines the virtual region approach and surface reconstruction process to handle complex boundary movements. The robustness of the proposed method is demonstrated through numerical examples of Poiseuille flow variation and flow simulation during a closing diaphragm valve, including large boundary movement, complex geometry, and closing motion.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
(2023)
Article
Engineering, Multidisciplinary
Margarita Chasapi, Pablo Antolin, Annalisa Buffa
Summary: This work presents a reduced order modeling framework for parameterized second-order linear elliptic partial differential equations on unfitted geometries. Efficient projection-based models utilizing reduced basis method and discrete empirical interpolation are proposed, which can handle geometrical parameters in unfitted domain discretizations. The proposed method is computationally efficient and accurate, agnostic to the underlying discretization choice. Numerical experiments on benchmark problems demonstrate significant reduction of online computational cost compared to standard ROMs with the same level of accuracy. The methodology is also applicable to three-dimensional geometries of linear elastic problems.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2023)
Article
Computer Science, Software Engineering
Pablo Antolin, Annalisa Buffa, Emiliano Cirillo
Summary: Region extraction is a common task in Computer Science and Engineering, with applications in object recognition and motion analysis. Previous research has mainly focused on regions bounded by straight lines, particularly in intersection detection between unstructured meshes. However, the advancement of Isogeometric Analysis requires a generalization to the case where regions are bounded by curved segments. This work presents a novel region extraction algorithm that allows precise numerical integration of functions defined in various spline spaces, with applications in contact problems, mortar methods, and quasi-interpolation problems.
COMPUTER-AIDED DESIGN
(2023)
Article
Computer Science, Interdisciplinary Applications
Felipe Rocha, Simone Deparis, Pablo Antolin, Annalisa Buffa
Summary: The effective properties of materials with random heterogeneous structures are determined by homogenizing the mechanical behavior in a window of observation. The choice of the local domain and boundary conditions govern the modeling errors, and there are standard methods to determine the formulation except for these two choices. This study proposes a machine learning procedure to select suitable boundary conditions for multiscale problems, which reduces computational cost significantly.
JOURNAL OF COMPUTATIONAL PHYSICS
(2023)
Review
Computer Science, Software Engineering
Xiaoqun Dai, Yan Hong
Summary: The primary objective of this research is to enhance the understanding of fabric mechanical behaviors, measurement techniques, and parameters essential for cloth simulation. The findings and information presented herein can be effectively utilized to enhance the precision and fidelity of apparel CAD systems, thereby facilitating advancements in virtual garment design and production.
COMPUTER-AIDED DESIGN
(2024)
Article
Computer Science, Software Engineering
Zhen-Pei Wang, Brian N. Cox, Shemuel Joash Kuehsamy, Mark Hyunpong Jhon, Olivier Sudre, N. Sridhar, Gareth J. Conduit
Summary: Three-dimensional non-periodic woven composite preforms have great design flexibility, but the design space is too large. This paper proposes a Background Vector Method (BVM) for generating candidate designs that can adapt to local architecture and global design goals while ensuring fabricability. Examples are provided to illustrate the design scope and speed of the BVM, as well as pathways for incorporating it into optimization algorithms.
COMPUTER-AIDED DESIGN
(2024)
Article
Computer Science, Software Engineering
Mohammad Mahdi Behzadi, Jiangce Chen, Horea T. Ilies
Summary: This paper proposes an approach to enhance the topological accuracy of machine learning-based topology optimization methods. The approach utilizes a predicted dual connectivity graph to improve the connectivity of the predicted designs. Experimental results show that the proposed method significantly improves the connectivity of the final predicted structures.
COMPUTER-AIDED DESIGN
(2024)
Article
Computer Science, Software Engineering
Jiaze Li, Shengfa Wang, Eric Paquette
Summary: In this study, a texture-driven adaptive mesh refinement method is proposed to generate high-quality 3D reliefs. By conducting feature-preserving adaptive sampling of the texture contours and using constraint-driven and feature-adaptive mesh subdivision, the method is able to accurately follow the texture contours and maintain good polygon quality.
COMPUTER-AIDED DESIGN
(2024)
Article
Computer Science, Software Engineering
Xi Zou, Sui Bun Lo, Ruben Sevilla, Oubay Hassan, Kenneth Morgan
Summary: This work presents a new method for generating triangular surface meshes in three dimensions for the NURBS-enhanced finite element method. The method allows for triangular elements that span across multiple NURBS surfaces, while maintaining the exact representation of the CAD geometry. This eliminates the need for de-featuring complex watertight CAD models and ensures compliance with user-specified spacing function requirements.
COMPUTER-AIDED DESIGN
(2024)
Article
Computer Science, Software Engineering
Ulderico Fugacci, Chiara Romanengo, Bianca Falcidieno, Silvia Biasotti
Summary: This paper proposes a method for suitably resampling a 3D point cloud while preserving the feature curves to which some points belong. The method enriches the cloud by approximating curvilinear profiles and allows for point removal or insertion without affecting the approximated profiles. The effectiveness of the method is evaluated through experiments and comparisons.
COMPUTER-AIDED DESIGN
(2024)
Article
Computer Science, Software Engineering
J. Hinz, O. Chanon, A. Arrigoni, A. Buffa
Summary: The objective of this study is to address the difficulty of simplifying a geometric model while maintaining the accuracy of the solution. A goal-oriented adaptive strategy is proposed to reintroduce geometric features in regions with significant impact on the quantity of interest. This approach enables faster and more efficient simulations.
COMPUTER-AIDED DESIGN
(2024)
Article
Computer Science, Software Engineering
Hao Qiu, Yixiong Feng, Yicong Gao, Zhaoxi Hong, Jianrong Tan
Summary: Sandwich panels with excellent mechanical properties are widely used, and kirigami-inspired structural designs are receiving increasing attention. In this study, novel graded self-locking kirigami panels based on a tucked-interleaved pattern are developed and analyzed. The experimental and simulation results demonstrate that the proposed kirigami panels have outstanding load-to-weight ratios and can generate graded stiffness and superior specific energy absorption.
COMPUTER-AIDED DESIGN
(2024)
Article
Computer Science, Software Engineering
Zheng Zhan, Wenping Wang, Falai Chen
Summary: This article proposes a learning based method using a deep neural network to simultaneously parameterize the boundary and interior of a computational domain. The method achieves robust parameterization by optimizing a loss function and fitting a tensor-product B-spline function. Experimental results demonstrate that the proposed approach yields parameterization results with lower distortion and higher bijectivity ratio.
COMPUTER-AIDED DESIGN
(2024)
