Application of the double-difference relocation method to acoustic emission events in high-pressure deformation experiments
Application of the double-difference relocation method to acoustic emission events in high-pressure deformation experiments
复制标题
双差重定位法在高压变形实验声发射事件中的应用
DOI:
10.1007/s00269-022-01203-8
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发表时间:
2022
影响因子:
1.4
通讯作者:
Wang, Yanbin
中科院分区:
文献类型:
--
作者:
Officer, Timothy;Zhu, Lupei;Li, Ziyu;Yu, Tony;Edey, David R.;Wang, Yanbin
A methodology has been developed, detailing the theory and workflow, for applying the double-difference relocation method to acoustic emission (AE) event location in high-pressure/high-temperature deformation experiments in the multi-anvil apparatus. The process is predicated on the fact that events originating from a common source region will traverse similar ray paths from the source to the receiver and display similar waveforms in seismograms. This implies their travel-time difference results only from their spatial offset and any velocity heterogeneity along the ray path is negated. To demonstrate the efficacy of this approach we applied it to a transformational faulting experiment on the isostructural olivine analogue Mg2GeO4under controlled deformation at 2.5 GPa and 700 °C while simultaneously monitoring stress, strain, and acoustic activity. Waveforms from all 1456 AE events were cross-correlated to measure differential arrival times and construct multiplet groups of similar events. In total, 110 multiplets were identified whose size is dominated by two large groups containing 272 and 202 events. Relocation of these two multiplets using the double-difference method significantly reduces event separation and improves location uncertainty by more than an order of magnitude when compared to absolute location techniques whose uncertainty rivals that of the sample size. In particular, event locations of the two largest multiplets reveal two dense clusters whose spatial geometry closely mirrors that of macroscopic faulting displayed in computerized tomography images of the recovered sample. In this way, we are able to link specific faults with their associated AE events, which would otherwise not be possible using traditional absolute location methods.
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影响因子:
2.3
作者:
T. Officer;R. Secco
通讯作者:
R. Secco
DOI:
10.1109/tgrs.2020.3019520
发表时间:
2021-07-01
影响因子:
8.2
作者:
Saad, Omar M.;Chen, Yangkang
通讯作者:
Chen, Yangkang
DOI:
--
发表时间:
2005
期刊:
影响因子:
--
作者:
E. Riggs;H. Green
通讯作者:
H. Green
影响因子:
13.6
作者:
Wang Y;Zhu L;Shi F;Schubnel A;Hilairet N;Yu T;Rivers M;Gasc J;Addad A;Deldicque D;Li Z;Brunet F
通讯作者:
Brunet F
影响因子:
3.3
作者:
De Meersman, K.;Kendall, J. -M.;van der Baan, M.
通讯作者:
van der Baan, M.