Collaborative Research: Multi-Block System Response to Hydraulic Loads in Rock Scour

合作研究：多块系统对岩石冲刷水力载荷的响应

• 批准号: 2342788
• 负责人: Michael Gardner
• 金额: $ 41.95万
• 依托单位: University of California-Davis
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-07-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2342788&HistoricalAwards=false
• 关键词: Collaborative; Research; Multi; Block; System

Scour by hydraulic plucking is a fundamental process in landscape evolution where large, competent rock blocks are eroded from a fractured rock mass by flowing water. This process also affects engineered structures interacting with water, such as dams and bridges, and often leads to operational and safety concerns since erosion of large volumes of material can compromise structure foundations and serviceability. This research uses joint flume and numerical modeling to establish a more comprehensive understanding of the mechanics of hydraulic plucking, which will inform infrastructure design and remediation. This mechanistic understanding of the governing modes of failure will make it possible to identify the most efficient design or remediation strategy, and can also be incorporated into landscape evolution models. The systematic means by which the multi-scale and progressive nature of plucking is explored will provide insights into key parameters that should be considered in real-time hazard analysis and landscape evolution. Additionally, software developed as part of this research will be released open-source to make it available to researchers and engineers. The experimental data set will also be stored in a public repository to be more broadly available and accessible.Accurately predicting the likelihood of plucking requires an understanding of how different properties of the fractured rock mass or engineered material interplay with flow characteristics of the fluid flowing over, around, and through it. It is not fully understood how variation in these properties influence plucking, nor is it considered in present scour evaluation methods, even though the potential stacking of effects could lower the threshold for scour. This research will develop capabilities that assess the interaction between different material and flow properties in order to develop a more comprehensive understanding of the plucking process. This will be achieved through a paired experimental and numerical approach that applies scaled flume experiments and coupled Discrete Element and Lattice Boltzmann Method numerical simulations. These capabilities will enable scour assessment methods that move away from empiricism by limiting the number and extent of simplifying assumptions that need to be made in physics-based models. The understanding of the underlying mechanics gained from this research and identification of the most critical features of the multi block-fluid system will inform further research applied to stability and remediation of engineered structures, as well as descriptions of rates of bedrock erosion in natural channels.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

液压拔出的冲刷是景观演化中的一个基本过程，在该过程中，大型，有能力的岩石块被流动的水从骨折的岩石质量中侵蚀。该过程还会影响与水（例如大坝和桥梁）相互作用的工程结构，并且通常会导致操作和安全问题，因为大量材料的侵蚀会损害结构的基础和可维护性。这项研究使用关节水槽和数值建模来建立对液压弹药机制的更全面的理解，这将为基础设施设计和修复提供信息。对故障管理模式的这种机械理解将使确定最有效的设计或补救策略成为可能，并且也可以将其纳入景观演化模型中。探索多尺度和渐进性的系统手段将提供对关键参数的见解，这些参数应在实时危害分析和景观演化中考虑。此外，作为这项研究的一部分开发的软件将被发布开源，以使研究人员和工程师可以使用。实验数据集还将存储在公共存储库中，以更广泛的可用和可访问。准确地预测拔出的可能性需要了解裂纹岩体质量或工程材料的不同特性如何与流体流过，周围和穿过的流量特征的流动特性。尚不完全了解这些特性的变化如何影响拔出的裂纹，即使潜在的效果堆积可以降低冲刷的阈值，也没有考虑它。这项研究将开发能够评估不同材料和流属性之间的相互作用的能力，以便对拔出过程有更全面的了解。这将通过配对的实验和数值方法来实现，该方法采用缩放的水槽实验以及离散元素和晶格Boltzmann方法数值模拟。这些功能将通过限制简化基于物理模型中需要做出的假设的数量和程度来启用从经验主义转移的冲刷评估方法。从这项研究中获得的潜在机制的理解以及对多块流体系统最关键特征的识别，将为您的稳定性和修复工程结构的进一步研究提供信息，以及对自然通道中基地侵蚀率的描述，这是NSF的法定任务，反映了通过评估的范围来弥补的依据。

项目成果

Toward a Complete Kinematic Description of Hydraulic Plucking of Fractured Rock

• DOI: 10.1061/jhend8.hyeng-13193
• 发表时间: 2023-07
• 期刊: Journal of Hydraulic Engineering
• 影响因子: 2.4
• 作者: Michael Gardner