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A time-centered split for implicit discretization of unsteady advection problems.

机译:以时间为中心的分裂,用于非平稳对流问题的隐式离散化。

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摘要

Environmental flows (e.g. river and atmospheric flows) governed by the shallow water equations (SWE) are usually dominated by the advective mechanism over multiple time-scales. The combination of time dependency and nonlinear advection creates difficulties in the numerical solution of the SWE. A fully-implicit scheme is desirable because a relatively large time step may be used in a simulation. However, nonlinearity in a fully implicit method results in a system of nonlinear equations to be solved at each time step. To address this difficulty, a new method for implicit solution of unsteady nonlinear advection equations is developed in this research. This Time-Centered Split (TCS) method uses a nested application of the midpoint rule to computationally decouple advection terms in a temporally second-order accurate time-marching discretization. The method requires solution of only two sets of linear equations without an outer iteration, and is theoretically applicable to quadratically-nonlinear coupled equations for any number of variables.;To explore its characteristics, the TCS algorithm is first applied to one-dimensional problems and compared to the conventional nonlinear solution methods. The temporal accuracy and practical stability of the method is confirmed using these 1D examples. It is shown that TCS can computationally linearize unsteady nonlinear advection problems without either (1) outer iteration or (2) calculation of the Jacobian. A family of the TCS method is created in one general form by introducing weighting factors to different terms. We prove both analytically and by examples that the value of the weighting factors does not affect the order of accuracy of the scheme. In addition, the TCS method can not only computationally linearize but also decouple an equation system of coupled variables using special combinations of weighting factors. Hence, the TCS method provides flexibilities and efficiency in applications.
机译:受浅水方程(SWE)支配的环境流量(例如河流和大气流量)通常由多个时间尺度上的对流机制控制。时间依赖性和非线性对流的结合在SWE的数值解中产生了困难。完全隐式方案是理想的,因为在仿真中可以使用相对较大的时间步长。但是,完全隐式方法中的非线性会导致在每个时间步都要求解非线性方程组。为了解决这一难题,本研究开发了一种新的非稳态非线性对流方程隐式解的方法。这种以时间为中心的拆分(TCS)方法使用中点规则的嵌套应用程序来在时间上二阶的精确时间行进离散化中对对流项进行计算解耦。该方法仅需求解两组线性方程组而无需外部迭代,并且在理论上适用于任意数量变量的二次非线性耦合方程组。为探索其特性,首先将TCS算法应用于一维问题和与传统的非线性求解方法相比。使用这些一维示例可以确认该方法的时间准确性和实用稳定性。结果表明,TCS可以计算线性化非稳态非线性对流问题,而无需(1)外迭代或(2)雅可比计算。通过将加权因子引入不同的术语,以一种通用形式创建了一系列TCS方法。我们通过分析和实例证明,加权因子的值不影响方案准确性的顺序。另外,TCS方法不仅可以计算线性化,而且可以使用加权因子的特殊组合来解耦耦合变量的方程组。因此,TCS方法提供了应用程序的灵活性和效率。

著录项

  • 作者

    Fu, Shipeng.;

  • 作者单位

    The University of Texas at Austin.;

  • 授予单位 The University of Texas at Austin.;
  • 学科 Engineering Civil.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 183 p.
  • 总页数 183
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 建筑科学;
  • 关键词

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