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The Savage-Hutter (SH) equations are a hyperbolic system of nonlinear partial differential equations describing the temporal evolution of the depth and depth averaged velocity for modelling the avalanche of a shallow layer of granular…

数值分析 · 数学 2022-05-12 Abdullah Shah , Muhammad Naveed Zafar , Yulong Du , Li Yuan

A new approach to prevent spurious behavior caused by conventional shock-capturing schemes when solving stiff detonation waves problems is introduced in the present work. Due to smearing of discontinuous solution by the excessive numerical…

计算物理 · 物理学 2017-08-04 Xi Deng , Honghui Teng , Bin Xie , Feng Xiao

The shock instability problem commonly arises in flow simulations involving strong shocks, particularly when employing high-order schemes, limiting their applications in hypersonic flow simulations. This study focuses on exploring the…

数值分析 · 数学 2023-08-08 Weijie Ren , Wenjia Xie , Ye Zhang , Hang Yu , Zhengyu Tian

High-order implicit shock tracking is a new class of numerical methods to approximate solutions of conservation laws with non-smooth features. These methods align elements of the computational mesh with non-smooth features to represent them…

数值分析 · 数学 2022-02-09 Tianci Huang , Matthew J. Zahr

This paper introduces a novel wave front tracking framework for reconstructing unknown flux functions in $2\times 2$ hyperbolic conservation laws, extending beyond the well-studied scalar case. By analyzing Riemann solutions at fixed…

偏微分方程分析 · 数学 2025-11-25 Chaohua Duan , Yan Jiang , Hongyu Liu , Wenjian Peng

In this paper, we develop a new mass conservative numerical scheme for the simulations of a class of fluid-structure interaction problems. We will use the immersed boundary method to model the fluid-structure interaction, while the fluid…

数值分析 · 数学 2018-06-21 Siu Wun Cheung , Eric Chung , Hyea Hyun Kim

We present a shock capturing method for large-eddy simulation of turbulent flows. The proposed method relies on physical mechanisms to resolve and smooth sharp unresolved flow features that may otherwise lead to numerical instability, such…

计算物理 · 物理学 2018-06-19 Pablo Fernandez , Ngoc-Cuong Nguyen , Jaime Peraire

We compare the results of numerical simulations of thin and quasi-spherical (thick) accretion flows with existing analytical solutions. We use a Lagrangian code based on the Smooth Particle Hydrodynamics (SPH) scheme and an Eulerian finite…

天体物理学 · 物理学 2009-10-28 Diego Molteni , Dongsu Ryu , Sandip K. Chakrabarti

This paper presents an extension of the hybrid scheme proposed by Wang et al. (J. Comput. Phys. 229 (2010) 169-180) for numerical simulation of compressible isotropic turbulence to flows with higher turbulent Mach numbers. The scheme still…

计算物理 · 物理学 2021-03-11 L. Q. Liu , J. C. Wang , Y. P. Shi , S. Y. Chen , X. T. He

Multidimensional shock-capturing numerical schemes for special relativistic hydrodynamics (RHD) are computationally more expensive than their correspondent Euler versions, due to the nonlinear relations between conservative and primitive…

天体物理学 · 物理学 2009-11-07 L. Del Zanna , N. Bucciantini

In this exploratory study, we apply shock-capturing schemes within the framework of the Particles on Demand kinetic model to simulate compressible flows with mild and strong shock waves and discontinuities. The model is based on the…

流体动力学 · 物理学 2022-07-20 Ehsan Reyhanian , Benedikt Dorschner , Ilya Karlin

For a model of nonlinear elastodynamics, we construct a finite volume scheme which is able to capture nonclassical shocks (also called undercompressive shocks). Those shocks verify an entropy inequality but are not admissible in the sense…

数值分析 · 数学 2015-02-16 Nina Aguillon

In this paper, we study the Mach reflection phenomenon in inviscid flows using a higher order discontinuous Galerkin method and overset grids. We use the shock capturing procedure proposed in Siva Prasad Kochi et al. using overset grids to…

数值分析 · 数学 2023-01-26 S R Siva Prasad Kochi , M Ramakrishna

In this article, we propose a novel front tracking scheme for scalar conservation laws with spatially heterogeneous, uniformly convex flux and prove that approximations converge to the unique entropy solution. The main tools are Dafermos'…

偏微分方程分析 · 数学 2025-11-04 Parasuram Venkatesh

The present study investigates the shock wave interactions involving stationary and moving wedges using a sharp interface immersed boundary method combined with a fifth order weighted essentially non oscillatory (WENO) scheme. Inspired by…

流体动力学 · 物理学 2021-02-01 Pradeep Kumar Seshadri , Ashoke De

When a plane shock hits a wedge head on, it experiences a reflection-diffraction process and then a self-similar reflected shock moves outward as the original shock moves forward in time. Experimental, computational, and asymptotic analysis…

偏微分方程分析 · 数学 2007-08-21 Gui-Qiang Chen , Mikhail Feldman

We propose a novel approach to approximate numerically shock waves. The method combines the unstructured shock-fitting approach developed in the last decade by some of the authors, with ideas coming from embedded boundary techniques. The…

数值分析 · 数学 2024-02-22 Mirco Ciallella , Mario Ricchiuto , Renato Paciorri , Aldo Bonfiglioli

Solving compressible flows containing discontinuities remains a major challenge for numerical methods especially on unstructured grids. Thus in this work, we make contributions to shock capturing schemes on unstructured grids with aim of…

计算物理 · 物理学 2020-03-23 Lidong Cheng , Xi Deng , Bin Xie , Yi Jiang , Feng Xiao

Due to its excellent shock-capturing capability and high resolution, the WENO scheme family has been widely used in varieties of compressive flow simulation. However, for problems containing strong shocks and contact discontinuities, such…

流体动力学 · 物理学 2019-01-15 Jun Peng , Chuanlei Zhai , Guoxi Ni , Yiqing Shen , Heng Yong

High-order implicit shock tracking (fitting) is a class of high-order, optimization-based numerical methods to approximate solutions of conservation laws with non-smooth features by aligning elements of the computational mesh with…

数值分析 · 数学 2024-01-30 Charles J. Naudet , Matthew J. Zahr
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