A smoothed particle hydrodynamics model for electrostatic transport of charged lunar dust on the moon surface

Mao, Zirui; Liu, G. R.

doi:10.1007/s40571-018-0189-4

Cited by 11 publications

(2 citation statements)

References 32 publications

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“…The most important is that the accuracy of SPH solution is not influenced by the arbitrary distribution of particles under any extreme conditions. So, thanks to its huge advantages in adaptability, straightforwardness, and implementation ease, this particle method originally invented for astrophysical applications 2,9,10 has been rapidly extended and applied to a vast range of applications, such as the multiphase flow, [11][12][13] explosion and underwater shocks, [14][15][16][17] penetration, [18][19][20] high-velocity impact, [21][22][23][24][25] and geophysics, [26][27][28][29] etc.…”

Section: Introductionmentioning

confidence: 99%

A 3D Lagrangian gradient smoothing method framework with an adaptable gradient smoothing domain‐constructing algorithm for simulating large deformation free surface flows

Mao

Liu

2019

Numerical Meth Engineering

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Summary A novel smoothing particle hydrodynamics (SPH)‐like Lagrangian meshfree method, named as Lagrangian gradient smoothing method (L‐GSM), has been proposed to avoid the “tensile instability” issue in SPH simulation by replacing the SPH particle‐summation gradient approximation technique with a local grid‐based GSM gradient smoothing operator. The L‐GSM model has been proven effective and efficient when applied to a wide range of large deformation problems for fluids and flowing solids in two‐dimensional case. In this study, a three‐dimensional (3D) L‐GSM numerical framework is proposed for simulating large deformation problems with the existence of free surfaces through developing a widely adaptable 3D gradient smoothing domain (GSD) constructing algorithm. It includes three key novel ingredients: (i) the localized GSD based on an efficient distance‐oriented particle‐searching algorithm enabling both easy implementation and efficient computation; (ii) a novel algorithm for constructing 3D GSD to guarantee the effectiveness of the 3D GSM gradient operator adaptable to any extreme cases; (iii) a robust normalized 3D GSM gradient operator formulation that can restore the accuracy of gradient approximation even on boundary interface. The effectiveness of the proposed 3D GSD‐constructing algorithm is first verified under various distribution conditions of particles. The accuracy of the proposed adaptable 3D GSM gradient algorithm is then examined through conducting a series of numerical experiments with different spacing ratios. Finally, the 3D L‐GSM numerical framework is applied to solve a practical problem of free surface flows with large deformation: collapse of a soil column. The results reveal that the present adaptable 3D L‐GSM numerical framework can effectively handle the large deformation problems, like flowing solids, with a constantly changing arbitrary free surface profile.

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Section: Introductionmentioning

confidence: 99%

A 3D Lagrangian gradient smoothing method framework with an adaptable gradient smoothing domain‐constructing algorithm for simulating large deformation free surface flows

Mao

Liu

2019

Numerical Meth Engineering

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“…Figure 14 shows the density evolution of the explosion ejecta and companion star material and illustrates the stripping of Herich material from the companion star and the propagation process of shock wave. Interest in using SPH for modeling the electrostatic transport of charged lunar dust on the moon's surface has also been reported [159].…”

Section: Galaxymentioning

confidence: 99%

On methodology and application of smoothed particle hydrodynamics in fluid, solid and biomechanics

Wang

Yang

et al. 2023

Acta Mech. Sin.

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Smoothed particle hydrodynamics (SPH), as one of the earliest meshfree methods, has broad prospects in modeling a wide range of problems in engineering and science, including extremely large deformation problems such as explosion and high velocity impact. This paper aims to provide a comprehensive overview on the recent advances of SPH method in the fields of fluid, solid, and biomechanics. First, the theory of SPH is described, and improved algorithms of SPH with high accuracy are summarized, such as the finite particle method (FPM). Techniques used in SPH method for simulating fluid, solid and biomechanics problems are discussed. The δ -SPH method and Godunov SPH (GSPH) based on the Riemann model are described for handling instability issues in fluid dynamics. Next, the interface contact algorithm for fluid-structure interaction is also discussed. The common algorithms for improving the tensile instability and the framework of total Lagrangian SPH are examined for challenging tasks in solid mechanics. In terms of biomechanics, the governing equations and the coupling forces based on SPH method are exemplified. Then, various typical engineering applications and recent advances are elaborated. The application of fluid mainly depicts the interaction between fluid and rigid body as well as elastomer, while some complicated fluid-structure interaction ocean engineering problems are also presented. In the aspect of solid dynamics, galaxy, geotechnical mechanics, explosion and impact, and additive manufacturing are summarized. Furthermore, the recent advancements of SPH method in biomechanics, such as hemodynamically and gut health, are discussed in general. In addition, to overcome the limitations of computational efficiency and computational scale, the multiscale adaptive resolution, the parallel algorithm and the automated mesh generation are addressed. The development of SPH software in China and abroad is also summarized. Finally, the challenging task of SPH method in the future is summarized. In future research work, the establishment of multi-scale coupled SPH model and deep learning technology in solid and biodynamics will be the focus of expanding the engineering applications of SPH methods.

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Study on one-dimensional softening with localization via integrated MPM and SPH

Chen

2019

Comp. Part. Mech.

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A smoothed particle hydrodynamics model for electrostatic transport of charged lunar dust on the moon surface

Cited by 11 publications

References 32 publications

A 3D Lagrangian gradient smoothing method framework with an adaptable gradient smoothing domain‐constructing algorithm for simulating large deformation free surface flows

A 3D Lagrangian gradient smoothing method framework with an adaptable gradient smoothing domain‐constructing algorithm for simulating large deformation free surface flows

On methodology and application of smoothed particle hydrodynamics in fluid, solid and biomechanics

Study on one-dimensional softening with localization via integrated MPM and SPH

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