Effects of Submergence Ratio and Undersurface Roughness on Flow Separation Beneath Simulated Ice Covers

浸没比和下表面粗糙度对模拟冰盖下水流分离的影响

• 批准号: 556436-2020
• 负责人: Tachie, MarkFrancis
• 金额: $ 1.85万
• 依托单位: University of Manitoba
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=706360
• 关键词: Effects; Submergence; Ratio; Undersurface; Roughness

The operation of hydraulic systems of many hydro companies across Canada are directly affected by river ice processes for approximately 6 months each year. One of the net effects of these complex river ice processes is a decrease in conveyance and operational efficiency of hydraulic systems at a time that coincides with the peak annual energy demand, resulting in lost generation revenue and exposure to varying levels of operational risk. These processes will likely increase in complexity and severity with climate change, necessitating the need for developing accurate numerical models. In close collaboration with Manitoba Hydro, researchers at University of Manitoba will experimentally investigate how changes in hydraulic conditions affect the unsteady flow characteristics and turbulent transport processes beneath ice covers. The experiments will be performed using a state-of-the-art particle image velocimetry in a recirculating open water channel. The research will advance the scientific knowledge of turbulent flow separation beneath simulated ice covers of varying submergence ratio and undersurface roughness, and provide comprehensive datasets that will enable researchers in the hydraulic research community to develop and validate reliable numerical models for predicting complex turbulent flow beneath ice covers. These numerical models will enable hydraulic engineers to reliably predict flow resistance and discharge, and their potential impact on formation of ice jam, flooding, sediment transport and erosion of river beds.

加拿大各地许多水电公司的液压系统运行每年约有6个月受到河冰过程的直接影响。这些复杂的河冰过程的净效应之一是在与年度能源需求高峰重合的时间降低水力系统的输送和运行效率，导致发电收入损失和不同程度的运营风险。随着气候变化，这些过程的复杂性和严重性可能会增加，因此需要开发准确的数值模型。马尼托巴大学的研究人员与马尼托巴水电公司密切合作，将通过实验研究水力条件的变化如何影响冰盖下的非定常流动特征和湍流输送过程。实验将使用一个国家的最先进的粒子图像测速在循环开放的水通道。该研究将推进不同淹没率和表面粗糙度的模拟冰盖下湍流分离的科学知识，并提供全面的数据集，使水力研究界的研究人员能够开发和验证可靠的数值模型，用于预测冰盖下复杂的湍流。这些数值模型将使水利工程师能够可靠地预测水流阻力和流量，以及它们对冰塞形成、洪水、泥沙运移和河床侵蚀的潜在影响。