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Development of an Object-Oriented Hydraulic Simulation Model for CanalNetworks Using a Relational Database

机译:基于关系数据库的运河网络面向对象水力仿真模型的开发

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Canal models can be used to understand the hydraulic behaviour of complexrnirrigation networks. Numerical methods such as the finite difference (FDM), finiternelement (FEM) and finite volume methods (FVM) have become well-establishedrntools in water and hydraulic engineering. While finite difference schemes are widelyrnused in hydraulic engineering, they are not suitable for certain types of problems,rnparticularly flows which exhibit strong discontinuities. These limitations can be dealtrnwith by introducing shock-capturing techniques. FVM with shock capturing schemesrnapplied to the shallow water equations is thus suitable for modelling a variety ofrnflows, particularly the propagation of shocks and water level disturbances throughoutrnan irrigation network.rnThis paper describes an object-oriented implementation of the finite-volume-basedrnnumerical algorithm for the solution of the 1-D shallow water equations. The modelrnsolves the hydrostatic St. Venant equations using an explicit FVM with a Godunov-typernhigh-resolution shock capturing technique. The Riemann problem for the 1-Drnshallow water equations is solved using an exact Riemann solver capable of handlingrndry bed conditions. The model is developed for irrigation canal networks with anrnobject-oriented approach using Java and MySQL as a back-end for effective storagernand retrieval of the data. The model has been tested for mass conservation and ramprndischarge tests. Further development and testing are in progress.
机译:渠道模型可用于了解复杂灌溉网络的水力行为。有限差分法(FDM),有限元素(FEM)和有限体积法(FVM)等数值方法已成为水利和水利工程领域公认的工具。尽管有限差分方案在水利工程中被广泛使用,但它们不适用于某些类型的问题,特别是表现出强烈不连续性的流量。这些限制可以通过引入震动捕捉技术来解决。因此,将适用于浅水方程的具有震荡捕获方案的FVM应用于建模各种流,特别是整个灌溉网络中的震荡和水位扰动的传播。本文描述了基于有限体积的数值算法的面向对象实现。一维浅水方程的解。该模型使用显式FVM和Godunov型高分辨率震波捕获技术求解静水力St. Venant方程。 1-Drnshallow水方程的Riemann问题是使用能够处理干床条件的精确Riemann求解器求解的。该模型是针对灌溉渠道网络开发的,采用Java和MySQL作为后端的面向对象方法,以有效地存储和检索数据。该模型已经过质量守恒和斜流排放测试。进一步的开发和测试正在进行中。

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