Time Series Analysis of Acoustic Emission Measurements from an Experimental Avalanche Slope at Patsio in Great Himalaya

IF 3 3区 材料科学 Q2 MATERIALS SCIENCE, CHARACTERIZATION & TESTING
Prem Datt, Rahul Sheoran, Praveen K. Srivastava
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Abstract

Snow avalanches are formed due to the failure of a weak layer buried below a cohesive snow slab. Microscopic failures due to progressive damage within the snow release elastic waves known as ‘acoustic emissions (AEs)’. Attempts were made to monitor AEs prior to snow slope failure to obtain a potential tool for non-invasive snowpack stability assessment. We present acoustic emission measurements from a natural snowpack present on a test slope near Patsio field observatory located in Indian Himalaya. Time series analyses of AE parameters such as amplitude, counts and energy were carried out for the observation period. Snow related additional data such as snowpack evolution, snowstorms and pit profiles were also recorded to interpret the AE response of natural snowpack. The snowpack on the test slope was monitored continuously to observe any fracture or slope failure. We found an increased AE activity with loading during snowfall. For some of the events, distinct energy peaks were recorded simultaneously by all AE sensors. These high energy events may be attributed to the formation of large cracks within the snowpack. The amplitude-frequency distribution data of AE events were further analyzed, and the temporal variation of the b-value was estimated. We then tried to relate the temporal evolution of the b-value with the occurrence of cracks observed on the surface of snowpack. However, no clear pattern emerged. The b-value decreased toward the fracture event but overall showed strong fluctuations during the snowstorm.

Abstract Image

大喜马拉雅帕齐奥实验雪崩坡声发射测量的时间序列分析
雪崩的形成是由于埋在有凝聚力的雪板下面的薄弱层的破坏。由于积雪内部的渐进破坏造成的微观破坏释放出称为“声发射(ae)”的弹性波。试图在雪坡破坏之前监测ae,以获得一种非侵入性积雪稳定性评估的潜在工具。我们提出了声发射测量从一个天然积雪存在的测试斜坡附近的帕西奥现场观测站位于印度喜马拉雅山脉。对观测期内的声发射参数(振幅、计数和能量)进行时间序列分析。此外,还记录了积雪演变、暴风雪和坑剖面等与雪相关的附加数据,以解释自然积雪的声发射响应。连续监测试验边坡上的积雪,观察有无断裂或边坡破坏。我们发现,在降雪期间,随着载荷的增加,声发射活动增加。对于某些事件,所有声发射传感器同时记录到明显的能量峰值。这些高能量事件可能归因于积雪内部形成的大裂缝。进一步分析声发射事件的幅频分布数据,估计b值的时间变化。然后,我们试图将b值的时间演变与积雪表面观测到的裂缝的发生联系起来。然而,并没有明确的模式出现。b值随着断裂事件的发生而减小,但总体上在暴风雪期间表现出较强的波动。
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来源期刊
Journal of Nondestructive Evaluation
Journal of Nondestructive Evaluation 工程技术-材料科学:表征与测试
CiteScore
4.90
自引率
7.10%
发文量
67
审稿时长
9 months
期刊介绍: Journal of Nondestructive Evaluation provides a forum for the broad range of scientific and engineering activities involved in developing a quantitative nondestructive evaluation (NDE) capability. This interdisciplinary journal publishes papers on the development of new equipment, analyses, and approaches to nondestructive measurements.
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