首页> 外文期刊>Cold regions science and technology >Acoustic emission characteristics and b-value estimate in relation to waveform analysis for damage response of snow
【24h】

Acoustic emission characteristics and b-value estimate in relation to waveform analysis for damage response of snow

机译:与波形分析相关的声发射特性和b值估算,用于雪的损伤响应

获取原文
获取原文并翻译 | 示例
       

摘要

The damage process within snow, a porous sintered multiphase material, results in the emission of weak acoustic signatures. It is also responsible for the failure of weak snow layers on mountain slopes leading to snow slab avalanches release. Monitoring these acoustic emissions and their characterization is useful to understand the complex damage behaviour of snow and also for identifying the relevant parameters associated with in situ snowpack stability assessment. In this paper, we present the outcomes of an acoustic emission (AE) study for the damage analysis of snow subjected to uni-axial compression under controlled laboratory conditions. The distribution of various All characteristics of snow such as peak amplitudes, hit duration, AE energy and emitted acoustic frequency spectrum corresponding to different displacement rates was analysed. The amplitude, hit duration and AE energy substantially increased with increasing displacement rate. Furthermore, the b-value for different displacement rates was estimated using least square fittings as well as maximum likelihood estimates. The temporal variation of the b-value was also estimated for particular time windows of the time series of AE data for all three displacement rates. The b-values were correlated with the external mechanical loading of the snow and were observed to vary from 3.6 to 2.3 for the displacement rates from 1 mm/min to 10 mm/min. Furthermore, the AE hit duration was found to be an important indicator of the damage behaviour. The AE energy of snow increased for decreasing grain size. Analysing the waveform of the AE signatures revealed that the emitted frequency spectrum was between 30 kHz and 70 kHz. The outcome of this study may be useful to identify the relevant AE parameters associated with evolving damage behaviour of the snowpack and for AE applications towards in-situ monitoring of snowpack stability and subsequent avalanche release. (C) 2015 Elsevier B.V. All rights reserved.
机译:多孔烧结多相材料雪中的破坏过程导致发出微弱的声学特征。这也是造成山坡上薄弱的雪层破裂导致雪板雪崩释放的原因。监视这些声发射及其特征对于了解雪的复杂破坏行为以及识别与原位雪堆稳定性评估相关的相关参数非常有用。在本文中,我们介绍了声发射(AE)研究的结果,该结果用于在受控实验室条件下经受单轴压缩的雪的损伤分析。分析了雪的所有全特征的分布,例如峰振幅,命中持续时间,声发射能量和相应于不同位移率的发射声频谱。振幅,命中持续时间和AE能量随着位移速率的增加而显着增加。此外,使用最小二乘拟合以及最大似然估计来估计不同位移率的b值。还针对所有三个位移率的AE数据的时间序列的特定时间窗口,估计了b值的时间变化。 b值与雪的外部机械负荷相关,并且对于从1毫米/分钟到10毫米/分钟的位移速率,b值在3.6到2.3之间变化。此外,发现AE命中持续时间是损害行为的重要指标。雪的AE能量增加以减小晶粒尺寸。分析AE签名的波形后发现,发射的频谱在30 kHz至70 kHz之间。这项研究的结果可能有助于确定与积雪的不断演变的破坏行为相关的相关AE参数,以及用于在原位监测积雪稳定性和随后雪崩释放的AE应用。 (C)2015 Elsevier B.V.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号