A Novel Riemann Solver for Modelling Partial Barriers to Flow within 2-D Hydrodynamic Models

一种新型黎曼求解器，用于模拟二维流体动力学模型中的部分流动障碍

• 批准号: 2440403
• 金额: --
• 依托单位: Newcastle University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2440403
• 关键词: Novel; Riemann; Solver; Modelling; Partial

Flood modelling is a vital component of flood risk management practice, as the results produced by flood models are used to inform future investment. Accurate flood modelling is therefore vital to effective flood risk management. Within catchments, linear features, such as bridge structures, can act as partial barriers to flow, significantly influencing the behaviour of flood flows. However, despite the established importance of accurately modelling flood flows for effective flood risk management, no flood model currently has the capacity to explicitly model the interaction between flood flows and partial barriers to flow. Within contemporary industry practice such features are often modelled using coarse approximations, empirically based methods or by omitting such features entirely. The development of a novel solver, capable of explicitly modelling the interaction between flood flows and partial barriers to flow is therefore proposed. Development of such a solver would promise more effective flood risk management including advances in the structural analysis of bridges, infrastructure resilience modelling and tsunami and dam break scenarios, among others. Development of the novel solver is to be achieved by first developing a benchmark model within a suitable programming language, using existing solvers utilised by industry standard flood models. Following this, experiments within a state-of-the-art multipurpose flume are to be conducted to study the physical behaviour and educate the development of the novel solver. The development of the solver is to be conducted in a somewhat iterative manner: by comparing the predictions of the numerical model and the observed phenomena recorded during the experimentation process, an understanding of the physically logical reasons for the observed differences can be developed and consequently necessary changes to the solver can be identified and implemented. Once sufficient accuracy has been achieved and the code has been optimised, the experimental scenarios conducted within the multi-purpose flume are to be replicated using the novel solver, benchmark model and open-source 3D computational fluid dynamics analysis software and the results compared. Through comparison with the experimental results the predictive capacity of the respective models can be validated and via comparison between the different models the relative accuracy and value of the novel solver can be determined. The objectives for the study can therefore be summarised as:1. Develop a benchmark model using existing solvers.2. Conduct experiments within a state-of-the-art multipurpose flume.3. Develop and implement a novel solver capable of explicitly modelling the interaction between flood flows and partial barriers to flow.4. Validate the predictive capacity of the novel solver against experimental data.5. Compare the results produced by the novel solver to other commercially available solutions.

洪水建模是洪水风险管理实践的重要组成部分，因为洪水模型产生的结果用于为未来的投资提供信息。因此，准确的洪水建模对于有效的洪水风险管理至关重要。在集水区内，线性特征，如桥梁结构，可以作为流动的部分障碍，显着影响洪水的行为。然而，尽管建立的重要性，准确模拟洪水流量有效的洪水风险管理，目前没有洪水模型有能力明确模拟洪水流量和部分障碍之间的相互作用。在当代工业实践中，这些特征通常使用粗略近似、基于经验的方法或通过完全省略这些特征来建模。因此，提出了一种新的求解器，能够明确地模拟洪水流量和部分障碍之间的相互作用。开发这样一个解决方案将保证更有效的洪水风险管理，包括在桥梁结构分析，基础设施弹性建模和海啸和溃坝情景等方面的进步。新的求解器的开发是通过首先开发一个合适的编程语言内的基准模型，使用现有的求解器利用行业标准的洪水模型。在此之后，在一个国家的最先进的多功能水槽实验进行研究的物理行为和教育的发展，新的求解器。求解器的开发将以某种迭代的方式进行：通过比较数值模型的预测和实验过程中记录的观察到的现象，可以开发对观察到的差异的物理逻辑原因的理解，从而可以识别和实施对求解器的必要更改。一旦达到足够的精度和代码已被优化，在多用途水槽内进行的实验方案将被复制使用新的求解器，基准模型和开源三维计算流体动力学分析软件和结果进行比较。通过与实验结果的比较，可以验证各个模型的预测能力，并且通过不同模型之间的比较，可以确定新求解器的相对精度和价值。因此，本研究的目的可以概括为：1。使用现有的求解器开发基准模型。2.在最先进的多功能水槽中进行实验。开发和实施一种新的求解器，能够明确地模拟洪水流量和部分障碍之间的相互作用。用实验数据验证了新求解器的预测能力.将新求解器产生的结果与其他商用解决方案进行比较。