Article
Mathematics, Applied
Ningyu Zhan, Rongqian Chen, Yancheng You
Summary: The linear lattice Boltzmann flux solver (LLBFS) developed based on the high-precision finite-volume method (FVM) is capable of simulating problems involving acoustic propagation efficiently with high accuracy and robustness.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2022)
Article
Mathematics, Applied
Arijit Hazra, Dinshaw S. Balsara, Praveen Chandrashekar, Sudip K. Garain
Summary: This paper presents the design of a multidimensional approximate generalized Riemann problem (GRP) solver for computational electrodynamics (CED) for the first time. The solver accepts four states and their gradients as inputs, and outputs the resolved state, corresponding fluxes, and gradients. By using the gradients to extend the solution in time, second-order temporal accuracy is achieved in a single step. The solver is optimized for linear hyperbolic systems with stiff, linear source terms and demonstrates overall constraint-preserving and L-stable behavior in the presence of stiff source terms.
JOURNAL OF SCIENTIFIC COMPUTING
(2023)
Article
Engineering, Electrical & Electronic
Jin Wu, Chong Li, Chengxi Zhang, Yi Jiang, Yulong Huang, Lujia Wang, Ming Liu
Summary: The study addressed the real-time magnetometer disturbance estimation problem by introducing the trust-region method to improve underwater navigation accuracy. The main challenge lies in finding feasible regions of possible solutions, with geometric analysis and algebraic elimination providing globally optimal solutions. Experimentations confirmed the correctness of the proposed method, showing that the trust-region technique can efficiently estimate high-frequency dynamic magnetic disturbances.
IEEE SENSORS JOURNAL
(2021)
Article
Physics, Fluids & Plasmas
L. M. Yang, C. Shu, Z. Chen, Y. Y. Liu, J. Wu, X. Shen
Summary: A high-order gas kinetic flux solver (GKFS) is developed for 2D compressible flows, which evaluates numerical fluxes based on the local asymptotic solution to the Boltzmann equation. It achieves high-order accuracy through a simplified local asymptotic solution and outperforms the second-order counterpart in numerical examples, demonstrating its accuracy and capability.
Article
Computer Science, Information Systems
Sixiao Gao
Summary: Buffer allocation is crucial in manufacturing system design, and this study proposes a bottleneck detection-based tabu search algorithm to efficiently solve the problem, improving computational efficiency without compromising solution quality.
Article
Mathematics, Applied
Jonas Latt, Orestis Malaspinas, Dimitrios Kontaxakis, Andrea Parmigiani, Daniel Lagrava, Federico Brogi, Mohamed Ben Belgacem, Yann Thorimbert, Sebastien Leclaire, Sha Li, Francesco Marson, Jonathan Lemus, Christos Kotsalos, Raphael Conradin, Christophe Coreixas, Remy Petkantchin, Franck Raynaud, Joel Beny, Bastien Chopard
Summary: This article presents the scope, concepts, data structures and application programming models of the open-source Lattice Boltzmann library Palabos, which is specifically developed for applications with complex, coupled physics. Palabos offers a broad modeling framework capable of addressing various applications in the Lattice Boltzmann community, while maintaining solid computational performance. Additionally, benchmark simulations are provided as a proof of the quality of the implemented core functionalities.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2021)
Article
Mechanics
L. M. Yang, C. Shu, Z. Chen, Y. Y. Liu, Y. Wang, X. Shen
Summary: A high-order gas kinetic flux solver (GKFS) is developed within the framework of the high-order finite volume (FV) method for simulation of two-dimensional incompressible flows, which evaluates inviscid and viscous fluxes simultaneously to achieve higher efficiency and accuracy compared to conventional methods.
Article
Engineering, Multidisciplinary
Ganghai Huang, Yuanzhen Xu, Xiaofeng Chen, Jianjun Ma, Shu Zhang
Summary: The paper introduces an efficient contact search algorithm, called the box search algorithm (BSA), for 3D SDDA, which significantly reduces the time and computation quantity compared to the direct search algorithm (DSA). The efficiency brought about by BSA enables 3D SDDA to simulate large-scale problems with improved computational performance.
INTERNATIONAL JOURNAL OF COMPUTATIONAL METHODS
(2021)
Article
Computer Science, Interdisciplinary Applications
Andrey Aleksyuk, Maxim A. Malakhov, Vitaly V. Belikov
Summary: This paper proposes a new exact Riemann solver for the shallow water equations with a discontinuous bottom, and demonstrates its advantages in numerical solution by embedding it into the Godunov scheme. The results show significant improvements in computational efficiency and prediction accuracy, especially in handling non-stationary flow problems.
JOURNAL OF COMPUTATIONAL PHYSICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Giuseppe Orlando, Paolo Francesco Barbante, Luca Bonaventura
Summary: This paper proposes an efficient, accurate, and robust IMEX solver for the compressible Navier-Stokes equations, which describe non-ideal gases with a general cubic equation of state and Stiffened-Gas EOS. The method utilizes an h-adaptive Discontinuous Galerkin spatial discretization and an Additive Runge Kutta IMEX method for time discretization. It is specifically designed for low Mach number applications and allows for simulation at a reduced computational cost.
JOURNAL OF COMPUTATIONAL PHYSICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Liuming Yang, Chang Shu, Zhen Chen, Yan Wang, Guoxiang Hou
Summary: The article introduces a finite volume-based multiphase lattice Boltzmann flux solver (MLBFS), and proposes a simplified MLBFS method that reconstructs fluxes using a combination of distribution functions and macroscopic variables to improve computational efficiency. The simplified method saved up to 18.32% of computational time in some experiments.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS
(2021)
Article
Computer Science, Interdisciplinary Applications
Nils Margenberg, Dirk Hartmann, Christian Lessig, Thomas Richter
Summary: We present DNN-MG, a deep neural network multigrid solver for the instationary Navier-Stokes equations. The combination of a geometric multigrid solver and a recurrent neural network with memory improves computational efficiency. DNN-MG reduces computation time by solving on coarse levels with the multi-grid method and correcting interpolated solutions on fine levels using a compact neural network.
JOURNAL OF COMPUTATIONAL PHYSICS
(2022)
Article
Engineering, Geological
Yan Zeng, Hong Zheng, Yang Liu, Bing Yang, Chunguang Li
Summary: The GSCP algorithm has been well established in solving elastoplastic MiCPs or similar problems. However, instability issues in the GSPC algorithm can lead to nonconvergence or program crashes. This paper adopts the method of constructing and analyzing counterexamples to study the instability reasons and develops the stable R-GSPC algorithm by modifying the problematic part. The analysis shows that R-GSPC greatly improves robustness and stability without sacrificing accuracy, making it suitable for commercial programs.
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Stijn Koppen, Max van der Kolk, Sanne van den Boom, Matthijs Langelaar
Summary: This paper proposes using a Linear Dependency Aware Solver (LDAS) to detect and exploit linear dependencies in real-world structural optimisation problems. The LDAS can efficiently detect and solve linear dependencies between all loads, obtaining accurate solutions and avoiding unnecessary solves.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2022)
Article
Engineering, Mechanical
C. Redondo, M. Chavez-Modena, J. Manzanero, G. Rubio, E. Valero, S. Gomez-Alvarez, A. Rivero-Jimenez
Summary: A Computational Fluid Dynamics (CFD)-based methodology using a high-order Discontinuous Galerkin Spectral Element Method (DGSEM) approximation was developed for the modeling of erosion and corrosion in hydrocarbon pipes. The technique allows for detailed three-dimensional representations of flow regimes, phases distribution, and contact surfaces, resulting in accurate computations of erosion and corrosion rates. The methodology was validated with experiments relevant to the oil and gas industry, showing potential applications in this field.
Article
Computer Science, Interdisciplinary Applications
Ming Xia
ENGINEERING COMPUTATIONS
(2015)
Article
Metallurgy & Metallurgical Engineering
Ming Xia
TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA
(2015)
Article
Computer Science, Interdisciplinary Applications
Ming Xia
COMPUTERS & GEOSCIENCES
(2016)
Article
Computer Science, Interdisciplinary Applications
Ming Xia
ENGINEERING COMPUTATIONS
(2017)
Article
Computer Science, Interdisciplinary Applications
Ming Xia, Chongbin Zhao, B. E. Hobbs
COMPUTERS AND GEOTECHNICS
(2014)
Article
Materials Science, Multidisciplinary
Ming Xia, Ke-ping Zhou
INTERNATIONAL JOURNAL OF MINERALS METALLURGY AND MATERIALS
(2010)
Article
Metallurgy & Metallurgical Engineering
Xia Ming, Zhao Chong-bin
JOURNAL OF CENTRAL SOUTH UNIVERSITY
(2014)
Article
Metallurgy & Metallurgical Engineering
Xia Ming, Gong Feng-qiang
JOURNAL OF CENTRAL SOUTH UNIVERSITY
(2018)
Article
Engineering, Geological
Gang-Hai Huang, Yuan-Zhen Xu, Xiong-Wei Yi, Ming Xia, Yu-Yong Jiao, Shu Zhang
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS
(2020)
Article
Engineering, Multidisciplinary
Ming Xia, Fengqiang Gong, Song Feng, Jin Yu, Yuntian Feng, Min Wang
Summary: This study extends the coupled discrete element and lattice Boltzmann method using an immersed moving boundary scheme to simulate methane hydrate exploitation involving mass transport and particle dissolution. The model is validated through numerical examples and successfully simulates the sand erosion and migration process in methane hydrate exploitation.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
(2023)
Article
Engineering, Multidisciplinary
Ming Xia, Xin Xu, Fengqiang Gong, Min Wang, Y. T. Feng
Summary: In this study, a Minkowski difference-based advancing front approach is proposed to generate convex and non-circular particles in a predefined computational domain. Two specific algorithms are developed to handle the contact conformity of generated particles with the boundaries of the computational domain. The efficiency and applicability of the proposed approach are demonstrated through several examples, showing that it generates more uniform and densely packed structures compared to existing methods.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
(2023)
Article
Engineering, Geological
Ming Xia
GEOTECHNICAL AND GEOLOGICAL ENGINEERING
(2019)