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Featured researches published by Xi Deng.


Journal of Computational Physics | 2017

A hybrid pressuredensity-based Mach uniform algorithm for 2D Euler equations on unstructured grids by using multi-moment finite volume method

Bin Xie; Xi Deng; Ziyao Sun; Feng Xiao

We propose a novel Mach-uniform numerical model for 2D Euler equations on unstructured grids by using multi-moment finite volume method. The model integrates two key components newly developed to solve compressible flows on unstructured grids with improved accuracy and robustness. A new variant of AUSM scheme, so-called AUSM+-pcp (AUSM+ with pressure-correction projection), has been devised including a pressure-correction projection to the AUSM+ flux splitting, which maintains the exact numerical conservativeness and works well for all Mach numbers. A novel 3th-order, non-oscillatory and less-dissipative reconstruction has been proposed by introducing a multi-dimensional limiting and a BVD (boundary variation diminishing) treatment to the VPM (volume integrated average (VIA) and point value (PV) based multi-moment) reconstruction. The resulting reconstruction scheme, the limited VPM-BVD formulation, is able to resolve both smooth and non-smooth solutions with high fidelity. Benchmark tests have been used to verify the present model. The numerical results substantiate the present model as an accurate and robust unstructured-grid formulation for flows of all Mach numbers.


AIAA Journal | 2017

Multimoment Finite Volume Solver for Euler Equations on Unstructured Grids

Xi Deng; Bin Xie; Feng Xiao

This paper presents a novel numerical model on unstructured grids for all-speed flows using the multimoment constrained finite volume method, where the point values at both the cell center and cell...


Journal of Computational Physics | 2018

High fidelity discontinuity-resolving reconstruction for compressible multiphase flows with moving interfaces

Xi Deng; Satoshi Inaba; Bin Xie; Keh-Ming Shyue; Feng Xiao

Abstract We present in this work a new reconstruction scheme, so-called MUSCL-THINC-BVD scheme, to solve the five-equation model for interfacial two phase flows. This scheme employs the traditional shock capturing MUSCL (Monotone Upstream-centered Schemes for Conservation Law) scheme as well as the interface sharpening THINC (Tangent of Hyperbola for INterface Capturing) scheme as two building-blocks of spatial reconstruction on the BVD (boundary variation diminishing) principle that minimizes the variations (jumps) of the reconstructed variables at cell boundaries, and thus effectively reduces the dissipation error in numerical solutions. The MUSCL-THINC-BVD scheme is implemented to the volume fraction and other state variables under the same finite volume framework, which realizes the consistency among volume fraction and other physical variables. Numerical results of benchmark tests show that the present method is able to capture the material interface as a well-defined sharp jump in volume fraction, and obtain numerical solutions of superior quality in comparison to other existing methods. The proposed scheme is a simple and effective method of practical significance for simulating compressible interfacial multiphase flows.


AIAA Journal | 2018

New Accurate and Efficient Method for Stiff Detonation Capturing

Xi Deng; Bin Xie; Feng Xiao; Honghui Teng

An alternative approach to prevent spurious behavior caused by conventional shock-capturing schemes when solving stiff detonation wave problems is introduced. In engineering research of detonation ...


Journal of Scientific Computing | 2017

A non-oscillatory multi-moment finite volume scheme with boundary gradient switching

Xi Deng; Ziyao Sun; Bin Xie; Kensuke Yokoi; Chungang Chen; Feng Xiao

In this work we propose a new formulation for high-order multi-moment constrained finite volume (MCV) method. In the one-dimensional building-block scheme, three local degrees of freedom (DOFs) are equidistantly defined within a grid cell. Two candidate polynomials for spatial reconstruction of third-order are built by adopting one additional constraint condition from the adjacent cells, i.e. the DOF at middle point of left or right neighbour. A boundary gradient switching (BGS) algorithm based on the variation-minimization principle is devised to determine the spatial reconstruction from the two candidates, so as to remove the spurious oscillations around the discontinuities. The resulted non-oscillatory MCV3-BGS scheme is of fourth-order accuracy and completely free of case-dependent ad hoc parameters. The widely used benchmark tests of one- and two-dimensional scalar and Euler hyperbolic conservation laws are solved to verify the performance of the proposed scheme in this paper. The MCV3-BGS scheme is very promising for the practical applications due to its accuracy, non-oscillatory feature and algorithmic simplicity.


Computers & Fluids | 2017

A finite volume multi-moment method with boundary variation diminishing principle for Euler equation on three-dimensional hybrid unstructured grids

Xi Deng; Bin Xie; Feng Xiao


arXiv: Computational Physics | 2017

Implementation of BVD (boundary variation diminishing) algorithm in simulations of compressible multiphase flows

Xi Deng; Satoshi Inaba; Bin Xie; Keh-Ming Shyue; Feng Xiao


Applied Mathematical Modelling | 2019

High resolution multi-moment finite volume method for supersonic combustion on unstructured grids

Xi Deng; Bin Xie; Honghui Teng; Feng Xiao


Computers & Fluids | 2018

Limiter-free discontinuity-capturing scheme for compressible gas dynamics with reactive fronts

Xi Deng; Bin Xie; Raphaël Loubère; Yuya Shimizu; Feng Xiao


arXiv: Numerical Analysis | 2017

Some practical versions of boundary variation diminishing (BVD) algorithm

Xi Deng; Bin Xie; Feng Xiao

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Feng Xiao

Tokyo Institute of Technology

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Bin Xie

Tokyo Institute of Technology

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Bin Xie

Tokyo Institute of Technology

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Honghui Teng

Chinese Academy of Sciences

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Satoshi Inaba

Tokyo Institute of Technology

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Ziyao Sun

Tokyo Institute of Technology

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Keh-Ming Shyue

National Taiwan University

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Yuya Shimizu

Tokyo Institute of Technology

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Chungang Chen

Xi'an Jiaotong University

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