4.7 Article

C-CSF: Accurate, robust and efficient surface tension and contact angle models for single-phase flows using SPH

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.cma.2021.114292

关键词

Smoothed Particle Hydrodynamics (SPH); Surface tension; Single-phase flows; Contact angle; Boundary Integral Method (BIM); Continuous Surface Force (CSF)

向作者/读者索取更多资源

In this paper, we propose improvements for single-phase SPH simulations, specifically focusing on the Continuous Surface Force (CSF) model. We demonstrate the necessity of renormalized SPH operators to enhance both stability and accuracy in the model. Additionally, we present a solution for controlling the contact angle near the contact line in the Boundary Integral Method (BIM). The proposed corrected CSF (C-CSF) model is validated through various test cases, confirming the importance of the proposed corrections.
In this paper we propose some important improvements related to the single-phase Smoothed Particle Hydrodynamics (SPH) simulations and available for different SPH schemes (such as Riemann SPH or delta-SPH). This model is based on the Continuous Surface Force (CSF), a volumic description of the surface tension and relies on an accurate evaluation of the local normal and curvature at the interface. In particular we show that renormalized SPH operators are necessary to both improve the stability and the accuracy of the model. We also propose a solution aiming at imposing a desired equilibrium contact angle near the contact line for the Boundary Integral Method (BIM). The proposed model is called corrected CSF (C-CSF) and is validated through static and dynamic test cases, with and without solid boundaries, showing that the proposed corrections are necessary to obtained the expected solutions. (c) 2021 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Engineering, Ocean

Comparison of MPS and SPH methods for solving forced motion ship flooding problems

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

On Particle Shifting Techniques (PSTs): Analysis of existing laws and proposition of a convergent and multi-invariant law

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

A partitioned framework for coupling LBM and FEM through an implicit IBM allowing non-conforming time-steps: Application to fluid-structure interaction in biomechanics

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

In-depth analysis of hydroplaning phenomenon accounting for tire wear on smooth ground

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

R(refracted)-PIV measurements of water film flow: application to flow under a rolling tire

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

Simulation of two in-line wind turbines using an incompressible Finite Volume solver coupled with a Blade Element Model

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.

RENEWABLE ENERGY (2022)

Article Computer Science, Interdisciplinary Applications

A simplified and efficient weakly-compressible FV-WENO scheme for immiscible two-phase flows

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

Efficiency of diagonally implicit Runge-Kutta time integration schemes in incompressible two-phase flow simulations

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

Investigations on a high order SPH scheme using WENO reconstruction

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

Numerical Investigation on the Added Resistance and Seakeeping Performance of KVLCC2 with the SWENSE Method

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

Probabilistic physics-guided transfer learning for material property prediction in extrusion deposition additive manufacturing

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

Discovering a reaction-diffusion model for Alzheimer's disease by combining PINNs with symbolic regression

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

A neural network-based enrichment of reproducing kernel approximation for modeling brittle fracture

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

Stabilized mixed material point method for incompressible fluid flow

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

A unified analytical expression of the tangent stiffness matrix of holonomic constraints

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

On the detection of nonlinear normal mode-related isolated branches of periodic solutions for high-dimensional nonlinear mechanical systems with frictionless contact interfaces

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

Machine learning powered sketch aided design via topology optimization

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

Reduced order isogeometric boundary element methods for CAD-integrated shape optimization in electromagnetic scattering

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

Volume conservation issue within SPH models for long-time simulations of violent free-surface flows

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

Convolution finite element based digital image correlation for and strain measurements

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

Optimization based on performance of lungs in body: Lungs performance-based optimization (LPO)

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

Integrated optimization of components' layout and structural topology with considering the interface stress constraint

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

The anisotropic graph neural network model with multiscale and nonlinear characteristic for turbulence simulation

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

Multi-temporal decomposition for elastoplastic ratcheting solids

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

Automated translation and accelerated solving of differential equations on multiple GPU platforms

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)