基于计算流体动力学的大粗糙度单元水力建模以提高河流恢复规划的真实感

David L. Smith, J. Allen, O. Eslinger, M. Valenciano, J. Nestler, R. A. Goodwin
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引用次数: 9

摘要

许多流恢复设计程序都是基于用户体验,根据流分类方案将标准流设计特征分配到流通道类型中。计算流体动力学(CFD)模型越来越多地用于表示流场,提供了更定量的前进路径。然而,在实践中,CFD模型在太大的尺度上参数化粗糙度,因此不能明确地表示诸如大型岩石和大型木质物质等离散特征,而这些特征的放置是溪流恢复活动的重点。由于高性能计算资源的快速发展和可用性,以及内部和商业软件的日益成熟,溪流栖息地评估包(SHAPE)成为可能,克服了在溪流恢复规划中常规使用CFD建模的障碍。SHAPE改善河流恢复规划的能力包括:(1)从可能粗糙的现场测量集逼真地表示自然河床,(2)使用虚拟挖掘机轻松变形河床表面,(3)从库中选择复杂物体并将其嵌入表面(例如,岩石和倒下的树木),(4)根据既定的网格质量标准成功网格化河道表面及其周围体积。(5)充分分解流场解。我们使用一组粗略的现场数据来说明SHAPE的这些功能,这些数据来自加利福尼亚州默塞德河罗宾逊恢复项目1.5英里长的四个研究地点之一,以及各自的挑战、解决方案策略和结果。流场求解采用并行有限元/体积求解法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hydraulic Modeling of Large Roughness Elements With Computational Fluid Dynamics for Improved Realism in Stream Restoration Planning
Many stream restoration design procedures are based on user experience in distributing standard stream design features into stream channel types based on a stream classification scheme. Computational fluid dynamics (CFD) models, increasingly used to represent stream flow fields, offer a more quantitative path forward. However, CFD models, in practice, parameterize roughness on too large a scale and therefore do not explicitly represent discrete features such as large rocks and large woody material whose placement is the focus of stream restoration activities. The Stream Habitat Assessment Package (SHAPE), made possible by rapid advances and availability of high-performance computing resources and increased sophistication of both in-house and commercial software, overcomes barriers that prevent the routine use of CFD modeling in stream restoration planning. Capabilities of SHAPE that improve stream restoration planning include (1) realistically representing natural streambeds from potentially coarse sets of field measurements, (2) easily deforming the streambed surface with a virtual excavator, (3) selecting complex objects from a library and embedding them within the surface (e.g., rocks and fallen trees), (4) successfully meshing the channel surface and its surrounding volume in accordance with established mesh quality criteria, and (5) sufficiently resolving flow field solutions. We illustrate these capabilities of SHAPE using a coarse set of field data taken from one of four study sites along a 1.5 mile stretch along the Robinson Restoration project of the Merced River, California, along with respective challenges, solution strategies, and resulting outcomes. Flow field solutions are conducted using parallelized finite element/volume solvers.
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