Predicting internal erosion in dams using real-time coupled experiments

使用实时耦合实验预测大坝的内部侵蚀

• 批准号: DE240100817
• 负责人: Dr Adnan Sufian
• 金额: $ 31.77万
• 依托单位: The University of Queensland
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Early Career Researcher Award
• 财政年份: 2024
• 资助国家: 澳大利亚
• 起止时间: 2024-01-01 至 2026-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE240100817
• 关键词: Predicting; internal; erosion; dams; using

Internal erosion causes nearly half of embankment dam failures globally. This project aims to develop a mechanics-based understanding of internal erosion to overcome the limitations of existing empirical approaches that do not capture the underlying physics. By innovatively coupling computational and physical experiments in real-time, this project expects to generate new insights that identify the factors leading to the initiation and continuation of internal erosion. The expected outcome of this project is a probabilistic framework able to predict the internal erosion process. This should significantly enhance and inform the design of erosion control measures and provide a holistic risk assessment for embankment dams.

内部侵蚀在全球范围内导致近一半的路堤大坝故障。该项目旨在建立对内部侵蚀的基于机制的理解，以克服无法捕获基础物理学的现有经验方法的局限性。通过创新的计算和物理实验实时耦合，该项目希望生成新的见解，以确定导致内部侵蚀引发和延续的因素。该项目的预期结果是能够预测内部侵蚀过程的概率框架。这应该显着增强并告知侵蚀控制措施的设计，并为路堤大坝提供整体风险评估。