Failure warning of hydrous sandstone based on electroencephalogram technique

Kai Tao; Wei Zheng

doi:10.1051/e3sconf/20183802015

All issues

Volume 38 (2018)

E3S Web Conf., 38 (2018) 02015

References

Open Access

Issue		E3S Web Conf. Volume 38, 2018 2018 4^th International Conference on Energy Materials and Environment Engineering (ICEMEE 2018)


Article Number		02015
Number of page(s)		4
Section		Material Science and Technology
DOI		https://doi.org/10.1051/e3sconf/20183802015
Published online		04 June 2018

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[1] Scruby CB. An introduction to acoustic emission. Journal of Physics E Scientific Instruments. 1987;20:946. [CrossRef] [Google Scholar]

[2] Sun Q. The influence of moisture content on the acoustic emission at threshold of rock destruction. Acta Geodynamica Et Geomaterialia. 2015:279-87. [CrossRef] [Google Scholar]

[3] L. Girard, S. Gruber, S. Weber, J. Beutel. Environmental controls of frost cracking revealed through in situ acoustic emission measurements in steep bedrock. Geophysical Research Letters. 40 (2013) 1748-53. [CrossRef] [Google Scholar]

[4] S. Chen, L. Liang, Y. Tian. The number of connected components in a graph associated with a rectangular (0, 1)-matrix. Linear Algebra & Its Applications. 487 (2015) 74-85. [CrossRef] [Google Scholar]

[5] E.S.A.D. Silva, H. Pedrini. Connected-component labeling based on hypercubes for memory constrained scenarios. Expert Systems with Applications. 61 (2016) 272-81. [CrossRef] [Google Scholar]

[6] Suzuki T, Shiotani T, Ohtsu M. Evaluation of cracking damage in freeze-thawed concrete using acoustic emission and X-ray CT image. Construction & Building Materials. 2017;136:619-26. [CrossRef] [Google Scholar]

[7] Wan LH, Ping C, Huang YH, Wang YX. Study of subcritical crack growth of rocks and threshold values in different environments. Rock & Soil Mechanics. 2010;31:2737-42. [Google Scholar]

[8] Costa ET, Costa EQ. Changes in EEG amplitude (Alpha and Beta waves) with Thermal environment. 2016;83: page. 87-93. [Google Scholar]

[9] Münch M, Plomp G, Thunell E, Kawasaki A, Scartezzini JL, Herzog MH. Different colors of light lead to different adaptation and activation as determined by high-density EEG. Neuroimage. 2014;101:547. [CrossRef] [PubMed] [Google Scholar]

[10] Alharbi ET, Alharbi ET, Alharbi ET. SINGLE TRIAL CLASSIFICATION OF EVOKED EEG SIGNALS DUE TO RGB COLORS. Brain Broad Research in Artificial Intelligence & Neuroscience. 2017. [Google Scholar]