基于HLLC方法的增强二维模型用于局部阻塞流的局部多层ses

IF 4.6 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Chengzhi Xiao , Feng Peng , Chunhong Hu , Hongping Zhang
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引用次数: 0

摘要

传统的二维水动力模型大多依靠经验方法来计算通过桥梁、水坝、堰、闸等水工构筑物的流量,往往会影响模拟的精度和稳定性。在本研究中,基于局部实现的多层浅水方程(SWEs)的Harten-Lax-van Leer-Contact (HLLC)方法,在二维水动力模型中实现了水工结构流场的精确、稳定模拟。该方法将水工构筑物所在的通量计算界面按水工构筑物的尺寸垂直分层,并采用HLLC求解器求解每一层的通量。通过水槽实验和解析解验证了该模型的良好性能。将该方法应用于南四湖,有效地模拟了复杂结构的大尺度水流,为洪水管理和基础设施规划提供了有力的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An enhanced 2D model with the HLLC method utilized for local multi-layer SWEs for partial obstructed flows
Traditional two-dimensional (2D) hydrodynamic models mostly rely on empirical methods to calculate the flow discharge through hydraulic structures such as bridges, dams, weirs, and sluices, often compromising the precision and stability of simulations. In this study, a Harten-Lax-van Leer-Contact (HLLC) method based on a local implementation of multi-layer shallow water equations (SWEs) for flow through structures was developed in a 2D hydrodynamic model to achieve precise and stable simulations for flow fields involving hydraulic structures. With this new method, the flux computational interface where the hydraulic structures were located was stratified vertically into multiple layers according to the dimensions of the structures, and the flux through each layer was solved with an HLLC solver for the SWEs. The model demonstrated excellent performance that was validated with flume experiments and analytical solutions. When applied to Nansi Lake, the method was used to effectively simulate large-scale flows with complex structures, offering a robust tool for flood management and infrastructure planning.
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来源期刊
Environmental Modelling & Software
Environmental Modelling & Software 工程技术-工程:环境
CiteScore
9.30
自引率
8.20%
发文量
241
审稿时长
60 days
期刊介绍: Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.
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