Article
Physics, Fluids & Plasmas
Jon Martinez-Carrascal, J. Calderon-Sanchez, L. M. Gonzalez-Gutierrez, A. de Andrea Gonzalez
Summary: This article extends the classical Rayleigh-Taylor instability to situations where the fluid is completely confined, analyzing the effect of adding surface tension to the interface in a 2D viscous periodic case. The study compares the linear stability analysis obtained through Navier-Stokes equations and WCSPH method, showing remarkable agreement in simulations with different tank sizes and Atwood numbers.
Article
Engineering, Ocean
C. Pilloton, J. Michel, A. Colagrossi, S. Marrone
Summary: Resonant three-dimensional nonlinear sloshing in a square-base basin is numerically analyzed to study swirling instability and the influence of viscosity. Four different fluids with increasing Reynolds number are tested in an oscillating tank. The study reveals a strong correlation between energy dissipation and instability, showing that water dissipates more energy during rotation compared to liquids with higher viscosity. The numerical solutions are provided using an enhanced version of the Smoothed Particle Hydrodynamics (SPH) model called ������-LES-SPH, which is suitable for simulating violent free-surface flows.
APPLIED OCEAN RESEARCH
(2023)
Article
Engineering, Multidisciplinary
W. K. Sun, L. W. Zhang, K. M. Liew
Summary: This study introduces a single-phase surface tension model based on fast free-surface detection, with efficient algorithms developed for free-surface detection. Compared to multiphase models, the single-phase model is simpler in algorithm, more computationally efficient, and maintains good accuracy and robustness.
APPLIED MATHEMATICAL MODELLING
(2021)
Article
Engineering, Multidisciplinary
C. Pilloton, P. N. Sun, X. Zhang, A. Colagrossi
Summary: This paper investigates the smoothed particle hydrodynamics (SPH) simulations of violent sloshing flows and discusses the impact of volume conservation errors on the simulation results. Different techniques are used to directly measure the particles' volumes and stabilization terms are introduced to control the errors. Experimental comparisons demonstrate the effectiveness of the numerical techniques.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
G. Y. Li, X. J. Ma, B. W. Zhang, H. W. Xu
Summary: An integrated SPH method is developed by improved techniques for droplets impacting on the wall with heat transfer. The method is validated by simulations and shows good agreement with experimental results. Wall characteristics significantly influence droplet deformation and spreading behavior on the hydrophilic wall.
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
(2021)
Article
Mechanics
Tibing Xu, Yee-Chung Jin, Yih-Chin Tai
Summary: A coupled model of Peridynamics into the mesh-free method was used to simulate the impacting collapse of a granular column with various suspended heights. The simulated free surface profiles were in good agreement with experimental measurements, and the numerical model was validated by simulating the granular column collapse and comparing the kinetic energy and potential energy with DEM simulation results. The analysis revealed that the suspended height in the impacting collapse of the granular column significantly affects energy dissipation.
Article
Computer Science, Interdisciplinary Applications
Lijing Yang, Milad Rakhsha, Wei Hu, Dan Negrut
Summary: This contribution presents a multiphase flow solution method that combines incompressible smoothed particle hydrodynamics (SPH) discretization. It introduces a generalized particle shifting technique and a color-function-based repulsive force to improve interface smoothness and minimize artificial forces. The method utilizes consistent discretizations for gradient and Laplacian operators, enhancing accuracy. It has been successfully applied to various benchmark problems and implemented with GPU-enabled parallelism for complex 3D simulations.
JOURNAL OF COMPUTATIONAL PHYSICS
(2022)
Article
Engineering, Mechanical
S. Marrone, F. Saltari, J. Michel, F. Mastroddi
Summary: This study models the damping effect of sloshing flows in tanks under vertical harmonic oscillations using the Smoothed Particle Hydrodynamics (SPH) numerical method. The prediction of energy dissipation in these problems is important, especially in the aeronautic field for addressing sloshing-induced loads on aircraft wings. The enhanced SPH scheme is validated through a comparison with experimental data, showing that the 3D solver can recover the experimental rate of dissipated energy with comparable errors, while the 2D solution significantly underestimates the damping in high-energy sloshing regimes.(c) 2023 Elsevier Ltd. All rights reserved.
JOURNAL OF FLUIDS AND STRUCTURES
(2023)
Article
Computer Science, Interdisciplinary Applications
Mohammad Nikooei, Clarence Edward Choi
Summary: This study proposes a new approach to model the effects of deposition in flow-type landslides. By simulating the flow-normal accelerations during the deposition process, a deposition model that considers the initial aspect ratio and slope angle of the debris is developed and implemented into engineering simulations. The new model improves predictions of flow distance and duration, and overcomes limitations of traditional models. This research is important for improving the delineation of flow-type landslides in mountainous regions.
COMPUTERS AND GEOTECHNICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Clarence Edward Choi, Mohammad Nikooei
Summary: Ploughing is a mechanism where a geophysical flow pushes sediments along its path, increasing its flow length. However, the physics of ploughing has been missing in hazard assessment tools due to the difficulties of simulating the competing effects of erosion and deposition. In this study, 2D non-depth-averaged (non-DA) simulations are used to understand the physics of ploughing, and a closure model is developed and implemented into a depth-averaged (DA) framework for practical simulations.
COMPUTERS AND GEOTECHNICS
(2023)
Article
Engineering, Multidisciplinary
Michael Blank, Prapanch Nair, Thorsten Poeschel
Summary: We propose a surface tension model for Smoothed Particle Hydrodynamics (SPH) based on the Young-Laplace pressure boundary condition. This model does not require fitting parameters and can be used in various forms of SPH. We demonstrate its reliability and accuracy by simulating challenging three-dimensional free surface flow problems driven by surface tension.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2023)
Article
Mathematics, Interdisciplinary Applications
S. Geara, S. Martin, S. Adami, J. Allenou, B. Stepnik, O. Bonnefoy
Summary: This article presents a study on improving the control of liquid jet break-up by applying external vibrations using a simple numerical method. The method is based on a weakly compressible SPH approach and an improved geometrical method for density calculation near the free surface. The simulation results show accurate representation of the jet break-up phenomenon, indicating a step forward in simulating liquid atomization in industrial conditions with the SPH method.
COMPUTATIONAL PARTICLE MECHANICS
(2023)
Article
Engineering, Chemical
Shungo Natsui, Kazui Tonya, Daiki Nakajima, Tatsuya Kikuchi, Hiroshi Nogami
Summary: This study investigated the dynamic contact angle and interaction between solid-liquid-gas phases as water droplets moved on a superhydrophobic surface, modeling the droplets using a friction model and momentum attenuation to reveal pinning/unpinning behavior. The research contributes to understanding the slippery/sticky contact line characteristics at the macroscopic continuum fluid scale.
CHEMICAL ENGINEERING SCIENCE
(2022)
Article
Engineering, Civil
Hyung-Jun Park, Hyun-Duk Seo, Phill-Seung Lee
Summary: A new method for treating wall boundaries in SPH was proposed in this study, which directly imposes the wall boundary condition by adding boundary truncation terms to conservation equations. By avoiding the use of boundary particles, the method simplifies boundary modeling, improves computational efficiency, and maintains stability in SPH simulations.
STRUCTURAL ENGINEERING AND MECHANICS
(2021)
Article
Mathematics, Applied
F. Almasi, M. S. Shadloo, A. Hadjadj, M. Ozbulut, N. Tofighi, M. Yildiz
Summary: This study discusses the application of mesh-less numerical method ISPH in investigating the behavior of multi-phase flow systems. The results validate the effectiveness and accuracy of the method through verification of various problems, and introduce the simulation of Electrohydrodynamics effect in Couette flow for the first time.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2021)
Article
Engineering, Ocean
Hirotada Hashimoto, Nicolas Grenier, Makoto Sueyoshi, David Le Touze
Summary: This study evaluates the application of particle methods in simulating complex ship flooding problems, finding that both MPS and SPH methods have similar capabilities in simulating flooding flows and are in good agreement with experimental results. Additionally, the handling of air modeling also affects the results.
APPLIED OCEAN RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
J. Michel, A. Vergnaud, G. Oger, C. Hermange, D. Le Touze
Summary: This paper examines the Particle Shifting Technique (PST) in SPH schemes, discussing its principles, conditions, and the shortcomings of existing PSTs. A new PST is proposed to address these limitations, and its effectiveness is validated in various SPH schemes and test cases.
JOURNAL OF COMPUTATIONAL PHYSICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Zhe Li, Guillaume Oger, David Le Touze
Summary: This study presents a partitioned framework for numerical simulation of fluid-structure interactions by coupling LBM and FEM methods with IBM, and validates the effectiveness of the framework in various practical applications through research on partitioned coupling processes and interface force fields.
JOURNAL OF COMPUTATIONAL PHYSICS
(2022)
Article
Engineering, Mechanical
C. Hermange, G. Oger, Y. Le Chenadec, M. de Leffe, D. Le Touze
Summary: Studying hydroplaning behavior is crucial for improving driver safety and reducing environmental impact. Recent advancements in numerical and experimental tools have led to a better understanding of hydroplaning, including the behavior of worn tires on wet roads. Comparisons between new and worn tires were conducted to analyze local effects and gain insights into global behavior.
JOURNAL OF FLUIDS AND STRUCTURES
(2022)
Article
Computer Science, Interdisciplinary Applications
Arbia Ben Khodja, Serge Simoens, Marc Michard, David Le Touze, Corentin Hermange, Clement Poncet, Guillaume Oger
Summary: An experimental analysis of the water flow generated by a tire rolling over a water film was conducted, focusing on a commercial tire with a winter V-shaped complex sculpture. Flow measurements were performed using an optical technique, and specific image processing tools were developed to consider the tire location and jitter inside the camera field of view. Different approaches were proposed for analyzing the flow inside the tire grooves or in front of the tire, providing insights into the hydrodynamic signature of the tread design.
JOURNAL OF VISUALIZATION
(2022)
Article
Green & Sustainable Science & Technology
B. Elie, G. Oger, L. Vittoz, D. Le Touze
Summary: This study presents the initial development and validation of a coupled simulation tool for modeling offshore wind turbine farms. The tool incorporates fluid dynamics using the Grid-flow CFD solver and accounts for the turbines using the FAST aero-elastic modules. The coupling is achieved through an actuator line model and a specific interpolation technique. The study includes a simulation of two wind turbines and compares the results with experimental data for validation.
Article
Computer Science, Interdisciplinary Applications
Zhe Li, Louis Vittoz, Guillaume Oger, David Le Touze
Summary: A simplified and efficient FV-WENO scheme is proposed for simulating weakly-compressible multi-phase flows. The scheme improves computational accuracy and efficiency by reconstructing primitive variables instead of conservative ones, and performing WENO reconstruction only once per direction. Additionally, an HLLC-type Riemann flux solver is introduced for more robust simulation. Validation tests show accurate results with little numerical diffusion in simulations involving weakly-compressible multi-phase flows.
COMPUTERS & FLUIDS
(2022)
Article
Computer Science, Interdisciplinary Applications
Young Jun Kim, Benjamin Bouscasse, Sopheak Seng, David Le Touze
Summary: This study investigates the implementation of diagonally implicit Runge-Kutta (DIRK) time integration schemes in OpenFOAM for incompressible two-phase flow simulations. The efficiency and accuracy of these schemes are evaluated through convergence study and benchmark cases, highlighting the performance of second order Runge-Kutta schemes in terms of CPU-to-accuracy compromise.
COMPUTER PHYSICS COMMUNICATIONS
(2022)
Article
Computer Science, Interdisciplinary Applications
A. Vergnaud, G. Oger, D. Le Touze
Summary: In this paper, a methodology is proposed for the reconstruction of high order numerical fluxes in Riemann-SPH formulations to increase the global order of convergence. The proposed SPH-WENO scheme achieves a 6th order convergence and shows improved accuracy and convergence properties compared to traditional Riemann-SPH schemes. The influence of neighbor particles and spatial particle disorder is also studied, and the scheme is shown to provide a better accuracy to CPU time ratio. The treatment of boundary conditions on rigid walls is discussed as well.
JOURNAL OF COMPUTATIONAL PHYSICS
(2023)
Article
Engineering, Marine
Yang Zhang, Gabriel Reliquet, Benjamin Bouscasse, Lionel Gentaz, David Le Touze
Summary: In this study, the added resistance and seakeeping performance of the KVLCC2 ship were investigated using the SWENSE method. Parametric studies were conducted under regular wave conditions, with comparisons made to existing literature and additional simulations for irregular sea states. The results showed good agreement with reference data, indicating the method's capability in predicting added resistance and seakeeping performances.
JOURNAL OF SHIP RESEARCH
(2021)
Article
Engineering, Multidisciplinary
Akshay J. Thomas, Mateusz Jaszczuk, Eduardo Barocio, Gourab Ghosh, Ilias Bilionis, R. Byron Pipes
Summary: We propose a physics-guided transfer learning approach to predict the thermal conductivity of additively manufactured short-fiber reinforced polymers using micro-structural characteristics obtained from tensile tests. A Bayesian framework is developed to transfer the thermal conductivity properties across different extrusion deposition additive manufacturing systems. The experimental results demonstrate the effectiveness and reliability of our method in accounting for epistemic and aleatory uncertainties.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Zhen Zhang, Zongren Zou, Ellen Kuhl, George Em Karniadakis
Summary: In this study, deep learning and artificial intelligence were used to discover a mathematical model for the progression of Alzheimer's disease. By analyzing longitudinal tau positron emission tomography data, a reaction-diffusion type partial differential equation for tau protein misfolding and spreading was discovered. The results showed different misfolding models for Alzheimer's and healthy control groups, indicating faster misfolding in Alzheimer's group. The study provides a foundation for early diagnosis and treatment of Alzheimer's disease and other misfolding-protein based neurodegenerative disorders using image-based technologies.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Jonghyuk Baek, Jiun-Shyan Chen
Summary: This paper introduces an improved neural network-enhanced reproducing kernel particle method for modeling the localization of brittle fractures. By adding a neural network approximation to the background reproducing kernel approximation, the method allows for the automatic location and insertion of discontinuities in the function space, enhancing the modeling effectiveness. The proposed method uses an energy-based loss function for optimization and regularizes the approximation results through constraints on the spatial gradient of the parametric coordinates, ensuring convergence.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Bodhinanda Chandra, Ryota Hashimoto, Shinnosuke Matsumi, Ken Kamrin, Kenichi Soga
Summary: This paper proposes new and robust stabilization strategies for accurately modeling incompressible fluid flow problems in the material point method (MPM). The proposed approach adopts a monolithic displacement-pressure formulation and integrates two stabilization strategies to ensure stability. The effectiveness of the proposed method is validated through benchmark cases and real-world scenarios involving violent free-surface fluid motion.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Chao Peng, Alessandro Tasora, Dario Fusai, Dario Mangoni
Summary: This article discusses the importance of the tangent stiffness matrix of constraints in multibody systems and provides a general formulation based on quaternion parametrization. The article also presents the analytical expression of the tangent stiffness matrix derived through linearization. Examples demonstrate the positive effect of this additional stiffness term on static and eigenvalue analyses.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Thibaut Vadcard, Fabrice Thouverez, Alain Batailly
Summary: This contribution presents a methodology for detecting isolated branches of periodic solutions to nonlinear mechanical equations. The method combines harmonic balance method-based solving procedure with the Melnikov energy principle. It is able to predict the location of isolated branches of solutions near families of autonomous periodic solutions. The relevance and accuracy of this methodology are demonstrated through academic and industrial applications.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Weisheng Zhang, Yue Wang, Sung-Kie Youn, Xu Guo
Summary: This study proposes a sketch-guided topology optimization approach based on machine learning, which incorporates computer sketches as constraint functions to improve the efficiency of computer-aided structural design models and meet the design intention and requirements of designers.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Leilei Chen, Zhongwang Wang, Haojie Lian, Yujing Ma, Zhuxuan Meng, Pei Li, Chensen Ding, Stephane P. A. Bordas
Summary: This paper presents a model order reduction method for electromagnetic boundary element analysis and extends it to computer-aided design integrated shape optimization of multi-frequency electromagnetic scattering problems. The proposed method utilizes a series expansion technique and the second-order Arnoldi procedure to reduce the order of original systems. It also employs the isogeometric boundary element method to ensure geometric exactness and avoid re-meshing during shape optimization. The Grey Wolf Optimization-Artificial Neural Network is used as a surrogate model for shape optimization, with radar cross section as the objective function.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
C. Pilloton, P. N. Sun, X. Zhang, A. Colagrossi
Summary: This paper investigates the smoothed particle hydrodynamics (SPH) simulations of violent sloshing flows and discusses the impact of volume conservation errors on the simulation results. Different techniques are used to directly measure the particles' volumes and stabilization terms are introduced to control the errors. Experimental comparisons demonstrate the effectiveness of the numerical techniques.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Ye Lu, Weidong Zhu
Summary: This work presents a novel global digital image correlation (DIC) method based on a convolution finite element (C-FE) approximation. The C-FE based DIC provides highly smooth and accurate displacement and strain results with the same element size as the usual finite element (FE) based DIC. The proposed method's formulation and implementation, as well as the controlling parameters, have been discussed in detail. The C-FE method outperformed the FE method in all tested examples, demonstrating its potential for highly smooth, accurate, and robust DIC analysis.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Mojtaba Ghasemi, Mohsen Zare, Amir Zahedi, Pavel Trojovsky, Laith Abualigah, Eva Trojovska
Summary: This paper introduces Lung performance-based optimization (LPO), a novel algorithm that draws inspiration from the efficient oxygen exchange in the lungs. Through experiments and comparisons with contemporary algorithms, LPO demonstrates its effectiveness in solving complex optimization problems and shows potential for a wide range of applications.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Jingyu Hu, Yang Liu, Huixin Huang, Shutian Liu
Summary: In this study, a new topology optimization method is proposed for structures with embedded components, considering the tension/compression asymmetric interface stress constraint. The method optimizes the topology of the host structure and the layout of embedded components simultaneously, and a new interpolation model is developed to determine interface layers between the host structure and embedded components.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Qiang Liu, Wei Zhu, Xiyu Jia, Feng Ma, Jun Wen, Yixiong Wu, Kuangqi Chen, Zhenhai Zhang, Shuang Wang
Summary: In this study, a multiscale and nonlinear turbulence characteristic extraction model using a graph neural network was designed. This model can directly compute turbulence data without resorting to simplified formulas. Experimental results demonstrate that the model has high computational performance in turbulence calculation.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Jacinto Ulloa, Geert Degrande, Jose E. Andrade, Stijn Francois
Summary: This paper presents a multi-temporal formulation for simulating elastoplastic solids under cyclic loading. The proper generalized decomposition (PGD) is leveraged to decompose the displacements into multiple time scales, separating the spatial and intra-cyclic dependence from the inter-cyclic variation, thereby reducing computational burden.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Utkarsh Utkarsh, Valentin Churavy, Yingbo Ma, Tim Besard, Prakitr Srisuma, Tim Gymnich, Adam R. Gerlach, Alan Edelman, George Barbastathis, Richard D. Braatz, Christopher Rackauckas
Summary: This article presents a high-performance vendor-agnostic method for massively parallel solving of ordinary and stochastic differential equations on GPUs. The method integrates with a popular differential equation solver library and achieves state-of-the-art performance compared to hand-optimized kernels.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)