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A Comprehensive CFD Model for Spillway Deflector Design at Hells Canyon Dam

机译:地狱峡谷大坝溢洪道偏转器设计的全面CFD模型

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Elevated total dissolved gas (TDG) can cause gas bubble disease in migrating fish. The main source of elevated TDG in a dam is the dissolution of air from bubbles entrained during spill events at depth. In order to prevent bubbles plunging to depth in the stilling basin of Hells Canyon Dam, spillway deflectors were designed using a 1:48 scale laboratory model. The deflectors were evaluated based on their capability to generate surface jets for a wide range of spill operations and tailwater elevations. In this study, a CFD model is developed to analyze the performance of different deflector designs considering not only TDG reduction but also changes in the tailrace hydrodynamics and possible mechanical injury to fish. The model predicts the hydrodynamics and TDG distribution at the dam and seven miles downstream. The two-phase flow in the stilling basin is simulated with a mixture model accounting for the mass transfer between bubbles and water, responsible for TDG production. The model is calibrated and validated using TDG field data. A particle tracking technique is used to evaluate possible fish injury. Deflector induced injury is analyzed by assessing accelerations and strain rate. Spillway jet regimes, propagation of surface waves, TDG production and fish possible mechanical injury for different deflector designs are presented and discussed.
机译:升高的总溶解气体(TDG)可导致迁移鱼中的气泡疾病。大坝中升高的TDG的主要来源是在深度溢出事件期间夹带的气泡的空气溶解。为了防止气泡在地狱峡谷大坝的静脉盆地中深入,使用1:48规模的实验室模型设计了溢洪道偏转器。基于它们的能力来评估偏转器,以产生各种溢出操作和尾水升降的表面喷射。在这项研究中,开发了CFD模型,以分析不同偏转器设计的性能,考虑到TDG减少,而且尾部流体动力学和可能的鱼类可能的机械伤害变化。该模型预测了大坝的流体动力学和TDG分布,下游七英里。静脉盆地中的两相流量用混合物模型占泡沫和水之间的传质,负责TDG生产。使用TDG现场数据进行校准并验证该模型。粒子跟踪技术用于评估可能的鱼损伤。通过评估加速和应变率来分析偏转诱导的损伤。溢洪道喷射制度,展示并讨论了不同偏转器设计的表面波,TDG生产和鱼类可能的机械损伤。

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