arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2007.09290math.NAcs.NA
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求解标量非线性双曲平衡律的迭代尺度函数法

An iterative scaling function procedure for solving scalar non-linear hyperbolic balance laws

Gino I. Montecinos

摘要:

双曲平衡律的精确解的标度化产生一族标度化问题,其中源项不依赖于当前解。这些问题被用来构造一系列的解决方案,其限制功能解决了原来的双曲问题。因此,这就产生了一个迭代过程。它的收敛性证明了理论和分析。分析论证是在一个局部的时间收敛和存在定理的$L^2$框架中的一类问题,其中的源项$s(q)$有界,与$s(0) = 0$,是局部Lipschitz和属于$C^2(\mathbb{R}) \cap H^1 (\mathbb{R}) $。一个凸通量函数,这是通常的存在性和唯一性的守恒律,也需要。在数值模拟中,求解了一组模型方程,在迭代阶段采用了一种使用低耗散通量的守恒型有限体积法。对参考解决方案的误差进行计算,并与传统的一阶方法的准确性进行比较,以评估本程序的准确性增益。关于精度,只有一阶计划进行了探讨,因为一个有用的程序的发展是在这项工作中的利益,高阶精确的方法应该增加计算成本的全球过程。数值试验表明,本文方法是一种可行的求解方法。

英文摘要:

The scaling of the exact solution of a hyperbolic balance law generates a family of scaled problems in which the source term does not depend on the current solution. These problems are used to construct a sequence of solutions whose limiting function solves the original hyperbolic problem. Thus this gives rise to an iterative procedure. Its convergence is demonstrated both theoretically and analytically. The analytical demonstration is in terms of a local in time convergence and existence theorem in the $L^2$ framework for the class of problems in which the source term $s(q)$ is bounded, with $s(0) = 0$, is locally Lipschitz and belongs to $C^2(\mathbb{R}) \cap H^1 (\mathbb{R}) $. A convex flux function, which is usual for existence and uniqueness for conservation laws, is also needed. For the numerical demonstration, a set of model equations is solved, where a conservative finite volume method using a low-dissipation flux is implemented in the iteration stages. The error against reference solutions is computed and compared with the accuracy of a conventional first order approach in order to assess the gaining in accuracy of the present procedure. Regarding the accuracy only a first order scheme is explored because the development of a useful procedure is of interest in this work, high-order accurate methods should increase the computational cost of the global procedure. Numerical tests show that the present approach is a feasible method of solution.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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