Collaborative Research: RUI: Density of Modes: A New Way to Forecast Sediment Failure

合作研究：RUI：模式密度：预测沉积物破坏的新方法

• 批准号: 2244615
• 负责人: Karen Daniels
• 金额: $ 21.9万
• 依托单位: North Carolina State University
• 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: 2023-03-01 至 2026-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2244615&HistoricalAwards=false
• 关键词: Collaborative; Research; RUI; Density; Modes

Landslides, submarine slides, ground fissures, and liquefaction are geohazards that occur when near-surface sediments suddenly fail. These geohazards can cause loss of human life and destroy infrastructure. Unfortunately, the scientific community has yet to devise a way to forecast these events. This work aims to determine whether measurements of the density of excited vibrational modes (DoM), a technique that has successfully provided a precursor signal to failure in the laboratory context, provide a route forward. To date, this technique has yet to be tested in natural samples. The researchers will develop the technique first in beach sands, then possibly in more complex near-surface environments, including for data already being collected and published by other groups. Professors on the team will lead a diverse group of STEM students across disciplinary boundaries, using best practices developed by experts that emphasize collaborations and mentorship. The ground beneath our feet shifts over time, sometimes slowly creeping, sometimes flowing like a fluid, and sometimes suddenly failing. These shifts cause landslides, submarine slides, ground fissures, and liquefaction. These geohazards' frequency and destructive capabilities have increased as global warming worsens, sea levels rise, and extreme weather events intensify. The current state-of-the-art lacks a reliable way to forecast these events, largely due to a lack of reliable methods for incorporating soil-scale information into failure models. This proposal hypothesizes that measurements of the density of excited vibrational modes (DoM), a statistical physics quantity that provides well-established failure precursors signals (broadening and increase in excess of low-frequency modes) within lab-reconstituted and numerically simulated granular materials, provides a route forward. The work seeks to answer the following questions: “How do DoM measurements complement and correspond to bulk geophysical measurements?” and “Does the DoM provide insight into the evolving state of naturally-deposited sediments?” These efforts would represent the first application of the DoM technique in the natural sediments; if successful, the translation of the technique to Earth settings would provide a new way to identify and monitor slope stability-related hazards within the near surface.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.

滑坡，海底滑梯，地面裂缝和脂肪是当近地表沉积物突然失败时发生的地质岩。这些地灾会导致人类生命的丧失并破坏基础设施。不幸的是，科学界尚未设计一种预测这些事件的方法。这项工作旨在确定激发振动模式（DOM）密度的测量是否成功地为实验室环境中的失败提供了前体信号，提供了前进的途径。迄今为止，该技术尚未在天然样品中进行测试。研究人员将首先在沙滩上开发该技术，然后在更复杂的近乎表面的环境中，包括其他群体已经收集和发布的数据。团队的教授将利用强调协作和心态的专家开发的最佳实践来领导跨学科界限的潜水员群体。我们脚下的地面随着时间的流逝而移动，有时会慢慢爬行，有时像流体一样流动，有时突然失败。这些转变会导致滑坡，海底滑梯，地面裂缝和液化。随着全球变暖，海平面上升和极端天气事件的加剧，这些地球兹助理的频率和破坏性能力增加了。当前的最新技术缺乏一种可靠的方式来预测这些事件，这主要是由于缺乏将土壤规模信息纳入故障模型中的可靠方法。该提案假设在实验室重新定位的和数值模拟的颗粒材料中，可以提供统计的物理数量的激发振动模式（DOM）的密度（DOM）的测量，该统计物理量（DOM）提供了良好的故障前体信号（扩展和增加低频模式）。该作品试图回答以下问题：“ DOM测量值如何补充并与批量的地球物理测量相对应？”并且“ DOM是否提供了对自然沉积沉积物不断发展的状态的见解？”这些努力将代表DOM技术在天然沉积物中的第一个应用。如果成功的话，将技术转换为地球环境将提供一种新的方式来识别和监视近表面内与斜率稳定相关的危害。该奖项反映了NSF的法定任务，并通过使用该基金会的知识分子的优点和更广泛的影响来审查标准，认为NSF的法定任务被认为是宝贵的支持。