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相关论文: State-of-the-art SPH solver DualSPHysics: from flu…

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The smoothed-particle hydrodynamics (SPH) technique is a numerical method for solving gas-dynamical problems. It has been applied to simulate the evolution of a wide variety of astrophysical systems. The method has a second-order accuracy,…

天体物理仪器与方法 · 物理学 2016-08-08 Domingo García-Senz , Rubén M. Cabezón , José A. Escartín , Kevin Ebinger

To capture specific characteristics of non-Newtonian fluids, during the past years fractional constitutive models have become increasingly popular. These models are able to capture in a simple and compact way the complex behaviour of…

流体动力学 · 物理学 2023-11-23 Luca Santelli , Adolfo Vazquez-Quesada , Marco Ellero

In fluid dynamical simulations in astrophysics, large deformations are common and surface tracking is sometimes necessary. Smoothed Particle Hydrodynamics (SPH) method has been used in many of such simulations. Recently, however, it has…

天体物理仪器与方法 · 物理学 2017-03-29 Satoko Yamamoto , Junichiro Makino

In this paper we propose a dual-time stepping scheme for the Smoothed Particle Hydrodynamics (SPH) method. Dual-time stepping has been used in the context of other numerical methods for the simulation of incompressible fluid flows. Here we…

计算物理 · 物理学 2021-06-25 Prabhu Ramachandran , Abhinav Muta , Ramakrishna Mokkapati

A new class of multiscale scheme is presented for micro-hydrodynamic problems based on a dual representation of the fluid observables. The hybrid model is first tested against the classical flow between two parallel plates and then applied…

The hydrodynamic interactions of a suspension of self-propelled particles are studied using a direct numerical simulation method which simultaneously solves for the host fluid and the swimming particles. A modified version of the "Smoothed…

软凝聚态物质 · 物理学 2013-01-15 John J. Molina , Yasuya Nakayama , Ryoichi Yamamoto

Since its inception, the full Lagrangian meshless smoothed particle hydrodynamics (SPH) method has experienced a tremendous enhancement in methodology and impacted a range of multi-physics applications in science and engineering. The paper…

计算物理 · 物理学 2024-05-24 Chi Zhang , Yujie Zhu , Dong Wu , Xiangyu Hu

The properties of a thermally sprayed coating, such as its durability or thermal conductivity depend on its microstructure, which is in turn directly related to the particle impact process. To simulate this process we present a 3D Smoothed…

In this paper we present results from a series of hydrodynamical tests aimed at validating the performance of a smoothed particle hydrodynamics (SPH) formulation in which gradients are derived from an integral approach. We specifically…

天体物理仪器与方法 · 物理学 2016-11-09 R. Valdarnini

Modulating the number of particles in a region is key to accurately capturing the nuances in compressible flows with Smoothed Particle Hydrodynamics (SPH). This paper presents a volume-based adaptive refinement and derefinement procedure,…

流体动力学 · 物理学 2025-08-08 Navaneet Villodi , Prabhu Ramachandran

We develop a numerical method for simulating coupled interactions of complex floating structures with large-scale ocean waves and atmospheric turbulence. We employ an efficient large-scale model to develop offshore wind and wave…

流体动力学 · 物理学 2016-05-06 Antoni Calderer , Xin Guo , Lian Shen , Fotis Sotiropoulos

We present an implementation of smoothed particle hydrodynamics (SPH) with improved accuracy for simulations of galaxies and the large-scale structure. In particular, we combine, implement, modify and test a vast majority of SPH improvement…

宇宙学与河外天体物理 · 物理学 2015-10-21 A. M. Beck , G. Murante , A. Arth , R. -S. Remus , A. F. Teklu , J. M. F. Donnert , S. Planelles , M. C. Beck , P. Foerster , M. Imgrund , K. Dolag , S. Borgani

Smoothed particle hydrodynamics (SPH) method has been increasingly used for simulating fluid flows, however its ability to simulate evaporating flow requires significant improvements. This paper proposes an SPH method for evaporating…

计算物理 · 物理学 2017-09-20 Xiufeng Yang , Song-Charng Kong

Simulations based on particle methods, such as Smoothed Particle Hydrodynamics (SPH), are known to be computationally demanding. While such methods have for long been executed in parallel on multi-core CPUs, in recent years the increasing…

计算工程、金融与科学 · 计算机科学 2026-03-18 Xiangyu Hu , Alberto Guarnieri

Dam is built for water supply, water flow or flooding control and electricity energy storage, but in other hand, dam is one of the most dangerous natural disaster in many countries including in Indonesia. The impact of dam break in…

流体动力学 · 物理学 2013-09-17 Suprijadi , Ferry Faizal , Christian Naa , Anggy Trisnawan Putra

The smoothed particle hydrodynamics (SPH) technique is a purely Lagrangian method, used in numerical simulations of fluids in astrophysics and computational fluid dynamics, among many other fields. SPH simulations with detailed physics…

Fracture is a very challenging and complicated problem with various applications in engineering and physics. Although it has been extensively studied within the context of mesh-based numerical techniques, such as the finite element method…

数值分析 · 数学 2022-06-28 Mohammad Naqib Rahimi , Georgios Moutsanidis

In this paper, we propose a reduced-dimensional smoothed particle hydrodynamics (SPH) formulation for quasi-static and dynamic analyses of plate and shell structures undergoing finite deformation and large rotation. By exploiting…

数值分析 · 数学 2023-09-07 Dong Wu , Chi Zhang , Xiangyu Hu

In this work, the Navier-Stokes (NS) solver is combined with the Direct simulation Monte Carlo (DSMC) solver in a direct way, under the wave-particle formulation [J. Comput. Phys. 401, 108977 (2020)]. Different from the classical domain…

计算物理 · 物理学 2023-09-26 Junzhe Cao , Sha Liu , Sirui Yang , Chengwen Zhong

Simulation of the dynamics of dust-gas circumstellar discs is crucial in understanding the mechanisms of planet formation. The dynamics of small grains in the disc is stiffly coupled to the gas, while the dynamics of grown solids is…

地球与行星天体物理 · 物理学 2018-11-16 Olga P. Stoyanovskaya , Tatiana A. Glushko , Nikolay V. Snytnikov , Valeriy N. Snytnikov