SPH方法的实现及其在二维溃坝案例中的应用

Juan Gabriel Monge Gapper, Alberto Serrano Pacheco
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引用次数: 0

摘要

采用弱可压缩光滑粒子流体力学(W-SPH)方法的基本实现,对两种不同类型的水力问题的开放表面流动现象进行了建模。它们都是已知水力学问题的二维近似:干河床溃坝和湿河床溃坝,具有浅变和深变。对于所有模型,结果与先前发表的实验中滨水剖面的数据进行了定量比较。一种定性的方法被用来评估一般轮廓形状比较数值水力剖面结果与公布的照片所示的所有设置。数值模型收敛到一个稳定的解相对低分辨率设置(2 000至20 000粒子),并发现良好的相关性与实验和数值参考,即使没有应用校正算法。密度场的数值振荡确实产生了小的人工波和旋涡,但除了表面波的速度有一些延迟外,对大部分流体的行为没有干扰。选择开发完全原创的、自包含的源代码,虽然非常有见地,但确实意味着所使用的邻近粒子搜索算法会大大增加相关的计算成本。然而,利用这一见解以及与实验结果比较的基础上,找到了源代码的优化优先级,并且可以在未来与所研究的流动现象相似的情况下应用一些选择流体分辨率和边界密度的准则。此外,编写用于求解数值模型的SPH源代码的经验,显示了使用该方法进行流体流动建模的未来发展路径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An implementation of the SPH method and its application to two-dimensional dam break cases
A basic implementation of the weakly compressible smoothed particle hydrodynamics (W-SPH) method is used to model the open surface flow phenomena of two different types of hydraulic problems. They were both two-dimensional approximations of known hydraulics problems: dam break over dry bed and dam break over wet bed with shallow and deep variants. For all models, the results were compared quantitatively with data from waterfront profiles from previously published experiments. A qualitative approach was used to assess the general profile shape comparing the numerical hydraulic profile results with published photographs of all setups shown. The numerical model converged to a stable solution with relatively low-resolution setups (2 000 to 20 000 particles) and a good correlation was found with the experimental and numerical references, even without the application of correction algorithms. Numerical oscillations in the density field did produce small artificial waves and vortices, but did not interfere with the behavior of the bulk of the fluid except for some delay in the speed of surface waves. The choice of developing an entirely original, self-contained source code, although very insightful, does mean that the neighboring particle search algorithm used considerably increments the associated computational cost. However, using this insight along with the basis of the comparison with experimental results, optimization priorities for the source code were found and some guidelines to choose fluid resolution and boundary density can be applied for future cases where the flow phenomena are similar to those studied. Also, the experience of writing the SPH source code that was used to solve the numerical models, shows the path for future developments on fluid flow modeling using this method.
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