Analysis and improvements of Adaptive Particle Refinement (APR) through CPU time, accuracy and robustness considerations

Chiron, Laurent; Oger, G.; Leffe, M. de; Touzé, David Le

doi:10.1016/j.jcp.2017.10.041

Cited by 114 publications

(43 citation statements)

References 30 publications

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“…In this second test case series, simulations have been conducted using Adaptive Particle Refinement (APR) technique [24]. This technique allows keeping a high spatial resolution around the flat plate during the simulation as the refinement areas move at the same speed of the plate.…”

Section: Numerical Methodologymentioning

confidence: 99%

High-speed water impacts of flat plates in different ditching configuration through a Riemann-ALE SPH model

Marrone

Colagrossi

Chiron³

et al. 2018

J Hydrodyn

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The violent water entry of flat plates is investigated through a Riemann-ALE SPH model. The test conditions are of interest for problems related to aircraft and helicopter emergency landing in water. Three main parameters are considered: the horizontal velocity, the approach angle (i.e. vertical to horizontal velocity ratio) and the pitch angle, α. Regarding the latter, small angles are considered in this study. As described in the theoretical work by Zhao and Faltinsen (1993), for small α a very thin, high-speed jet of water is formed, and the time-spatial gradients of the pressure field are extremely high. These test conditions are very challenging for numerical solvers. In the present study an enhanced SPH model is firstly tested on a purely vertical impact with deadrise angle α =4°. An in-depth validation against analytical solutions and experimental results is carried out, highlighting the several critical aspects of the numerical modelling of this kind of flow, especially when pressure peaks are to be captured. A discussion on the main difficulties when comparing to model scale experiments is also provided. Then, the more realistic case of a plate with both horizontal and vertical velocity components is discussed and compared to ditching experiments recently carried out at CNR-INSEAN. In the latter case both 2D and 3D simulations are considered and the importance of 3D effects on the pressure peak is discussed for α =4° and α =10°.

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Section: Numerical Methodologymentioning

confidence: 99%

High-speed water impacts of flat plates in different ditching configuration through a Riemann-ALE SPH model

Marrone

Colagrossi

Chiron³

et al. 2018

J Hydrodyn

Self Cite

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“…Afterwards, with the aim of dynamically varying the particle resolution, some authors proposed some procedures to dynamically increase and reduce the particle resolution [8,80,94,95]. Very recently, Sun et al [89] simulated flow past different bodies in the presence of a free surface by using the Adaptive Particle Refinement (APR) methodology proposed in [21]. Spreng et al [87] proposed a criterion to automatically adjust the particle resolution accordingly to some measure of the SPH spatial discretisation error.…”

Section: Grand Challenge 3: Adaptivity (Vacondio Rogers)mentioning

confidence: 99%

Grand challenges for Smoothed Particle Hydrodynamics numerical schemes

Vacondio

Altomare

Leffe³

et al. 2020

Comp. Part. Mech.

158

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This paper presents a brief review of grand challenges of Smoothed Particle Hydrodynamics (SPH) method. As a meshless method, SPH can simulate a large range of applications from astrophysics to free-surface flows, to complex mixing problems in industry and has had notable successes. As a young computational method, the SPH method still requires development to address important elements which prevent more widespread use. This effort has been led by members of the SPH rEsearch and engineeRing International Community (SPHERIC) who have identified SPH Grand Challenges. The SPHERIC SPH Grand Challenges (GCs) have been grouped into 5 categories: (GC1) convergence, consistency and stability, (GC2) boundary conditions, (GC3) adaptivity, (GC4) coupling to other models, and (GC5) applicability to industry. The SPH Grand Challenges have been formulated to focus the attention and activities of researchers, developers, and users around the world. The status of each SPH Grand Challenge is presented in this paper with a discussion on the areas for future development.

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“…The theoretical for poro-elasticity has been developped [17,75,76,93] which facilitates development of plant tissue mechanics, and growth modelled as particles of variable mass has already been used in problems of accretion in black holes or for the particle treatment in inux/outux boundaries [15,24,37,96]. Finally, the cell division is analogous to particle splitting techniques that have been studied extensively [23,57,50,62,64,91,90].…”

Section: Introductionmentioning

confidence: 99%

Smoothed particle hydrodynamics for root growth mechanics

Mimault

Ptashnyk

Bassel

et al. 2019

Engineering Analysis with Boundary Elements

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A major challenge of plant developmental biology is to understand how cells grow during the formation of an organ. To date, it has proved dicult to develop computational models of entire organs at cellular resolution and, as a result, the testing of hypotheses on the biophysics of self-organisation is currently limited. Here, we formulate a model for plant tissue growth in an SPH framework. The framework identies the SPH particle with individual cells in a tissue, but the tissue growth is performed at the macroscopic level using SPH approximations. Plant tissue is represented as an anisotropic poro-elastic material where turgor pressure deforms the cell walls and biosynthesis and cell division control the density of the tissue. The performance of the model is evaluated through a series of tests and benchmarks. Results demonstrate good stability and convergence of simulations as well as readiness of the technique for more complex biological problems.

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Analysis and improvements of Adaptive Particle Refinement (APR) through CPU time, accuracy and robustness considerations

Cited by 114 publications

References 30 publications

High-speed water impacts of flat plates in different ditching configuration through a Riemann-ALE SPH model

High-speed water impacts of flat plates in different ditching configuration through a Riemann-ALE SPH model

Grand challenges for Smoothed Particle Hydrodynamics numerical schemes

Smoothed particle hydrodynamics for root growth mechanics

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