S
Sirui Tan
Researcher at Brown University
Publications - 27
Citations - 687
Sirui Tan is an academic researcher from Brown University. The author has contributed to research in topics: Boundary value problem & Lax–Wendroff method. The author has an hindex of 11, co-authored 24 publications receiving 542 citations. Previous affiliations of Sirui Tan include Los Alamos National Laboratory & ExxonMobil.
Papers
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Inverse Lax-Wendroff procedure for numerical boundary conditions of conservation laws
Sirui Tan,Chi-Wang Shu +1 more
TL;DR: A high order finite difference numerical boundary condition for solving hyperbolic conservation laws on a Cartesian mesh that has good performance when applied to one and two-dimensional scalar or system cases with the physical boundary not aligned with the grids and with various boundary conditions including the solid wall boundary condition.
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Efficient implementation of high order inverse Lax-Wendroff boundary treatment for conservation laws
TL;DR: A simplified and improved implementation for this procedure, which uses the relatively complicated ILW procedure only for the evaluation of the first order normal derivatives, and fifth order WENO type extrapolation is used for all other derivatives, regardless of the direction of the local characteristics and the smoothness of the solution.
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An efficient finite-difference method with high-order accuracy in both time and space domains for modelling scalar-wave propagation
Sirui Tan,Lianjie Huang +1 more
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A high order moving boundary treatment for compressible inviscid flows
Sirui Tan,Chi-Wang Shu +1 more
TL;DR: This method is an extension of the so-called inverse Lax-Wendroff procedure proposed in [17] for conservation laws in static geometries and helps to obtain normal spatial derivatives at inflow boundaries from Lagrangian time derivatives and tangential derivatives by repeated use of the Euler equations.
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Least-squares reverse-time migration with a wavefield-separation imaging condition and updated source wavefields
TL;DR: In this paper, a least-squares reverse-time migration (LSRTM) method was proposed to directly image steeply dipping fault zones using a wavefield-separation imaging condition and updated source wavefields during each iteration.