Continuous Assessment of the Response of Deep-Seated Landslides by Monitoring Basal Temperature (CoRDeaL)

通过监测基础温度连续评估深层滑坡的响应 (CoRDeaL)

基本信息

批准号：
2006150
负责人：
Emmanouil Veveakis
金额：
$ 16.58万
依托单位：
Duke University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-09-01 至 2022-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2006150&HistoricalAwards=false
关键词：
Continuous Assessment Response Deep Seated

项目摘要

Deep-seated landslides represent one of the most devastating natural hazards on earth, typically creeping at inappreciable velocities over several years, before suddenly collapsing often with high velocity movement and catastrophic results. They can have detrimental consequences to society, as they involve large-scale collapse, causing fatalities and often affecting transportation infrastructure. Notable examples of such catastrophic failures include, among others, the 1963 Vaiont landslide in Italy, which devastated an entire valley causing around 2000 casualties and rendering inactive the largest hydro-electric dam of Italy, the 1999 Jiufengershan Landslide in Taiwan and the 2014 Oso landslide in the U.S. What determines the stability of these landslides and the time of final collapse remains a key problem in landslide mechanics and natural hazard prediction and prevention. This project will investigate the physical processes that are thought to drive deep-seated landslides to catastrophic collapse, particularly focusing on whether the response of these landslides can be continuously assessed by monitoring the temperature of the sliding surface. This project will assess potential for failure plane temperature to affect stability, and collect in-situ temperature data. It will focus on testing the hypothesis that the response of deep-seated landslides can be continuously assessed by enriching models with the material's thermal response, and monitoring the temperature of the sliding surface. This is envisioned to be achieved by combining theoretical and numerical approaches, experiments on material from an active landslide in Andorra, Europe, together with field data of displacement, piezometric level and temperature at the base of the landslide. The project aims at offering unique and transformative knowledge and technology on how deep-seated landslides would respond in long-term, multi-physical loading (i.e. including elevated temperatures, pressures, and deformation rates). The long-term objectives of this work would be to quantify the dominant processes driving deep-seated landslides to instability, and develop an operational protocol for this type of hazard. It is, therefore, envisioned that the outcomes of this pilot project could fuel a new approach in modeling, monitoring and assessing deep-seated landslides.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.

深层山体滑坡是地球上最具破坏性的自然灾害之一，通常会在几年内以难以察觉的速度蠕动，然后经常以高速运动突然崩塌并造成灾难性后果。它们可能对社会产生有害后果，因为它们涉及大规模倒塌，造成死亡并经常影响交通基础设施。此类灾难性故障的著名例子包括 1963 年意大利 Vaiont 山体滑坡，该山体滑坡摧毁了整个山谷，造成约 2000 人伤亡，并使意大利最大的水力发电大坝瘫痪；1999 年台湾九峰儿山山体滑坡和 2014 年 Oso 山体滑坡在美国，什么决定了这些滑坡的稳定性和最终崩塌的时间仍然是一个关键问题滑坡力学和自然灾害预测与预防。该项目将研究被认为导致深层滑坡导致灾难性崩塌的物理过程，特别关注是否可以通过监测滑动表面的温度来持续评估这些滑坡的响应。该项目将评估故障平面温度影响稳定性的可能性，并收集现场温度数据。它将重点测试这样一个假设：通过利用材料的热响应丰富模型并监测滑动表面的温度，可以连续评估深层滑坡的响应。预计通过结合理论和数值方法、欧洲安道尔活跃滑坡材料的实验以及滑坡底部位移、测压水平和温度的现场数据来实现这一目标。该项目旨在提供独特的、变革性的知识和技术，了解深层滑坡如何在长期、多物理载荷（即包括升高的温度、压力和变形率）下做出反应。这项工作的长期目标是量化导致深层滑坡不稳定的主要过程，并制定针对此类灾害的操作方案。因此，预计该试点项目的成果可能会催生一种建模、监测和评估深层滑坡的新方法。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优势和能力进行评估，被认为值得支持。更广泛的影响审查标准。

项目成果

期刊论文数量（4）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Continuous assessment of landslides by measuring their basal temperature

通过测量基础温度对滑坡进行连续评估

DOI：
10.1007/s10346-021-01762-x
发表时间：
2021-09-18
期刊：
Landslides
影响因子：
6.7
作者：
C. Seguí;M. Veveakis
通讯作者：
M. Veveakis

On the Stability of Deep‐Seated Landslides. The Cases of Vaiont (Italy) and Shuping (Three Gorges Dam, China)

关于深层滑坡的稳定性。

DOI：
10.1029/2019jf005203
发表时间：
2020-07-01
期刊：
Journal of Geophysical Research: Earth Surface
影响因子：
0
作者：
C. Seguí;H. Rattez;M. Veveakis
通讯作者：
M. Veveakis

The interplay between phyllosilicates fabric and mechanical response of deep-seated landslides. The case of El Forn de Canillo landslide (Andorra)

页硅酸盐结构与深层滑坡的机械响应之间的相互作用。

DOI：
10.1007/s10346-020-01492-6
发表时间：
2021-01
期刊：
Landslides
影响因子：
6.7
作者：
Seguí, Carolina;Tauler, Esperança;Planas, Xavier;Moya, Jose;Veveakis, Manolis
通讯作者：
Veveakis, Manolis

Forecasting and mitigating landslide collapse by fusing physics-based and data-driven approaches

通过融合基于物理和数据驱动的方法来预测和减轻滑坡崩塌