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      A Study on the Characteristics of Microseismic Signal during Deformation and Failure of Different Materials under Uniaxial Compression

      1 , 1 , 2 , 1 , 2 , 1 , 3
      Shock and Vibration
      Hindawi Limited

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          Abstract

          With the decline of shallow coal reserves and increase in demand of coal consumption, the hazard of coal and rock dynamic disasters is expanding. In this paper, we conducted some laboratory scale tests on coal, cement, and glass materials to figure out the microseismic (MS) characteristic differences among materials. A new method, denoted as WPT-LMD, is proposed to conduct signal denoising and analysis work. A series of basic analyses regarding MS are conducted, including the relationships between MS characteristics and loading rate, coal powder particle size, loading stage, and MS event statistics. Research results show that the damage of all these three materials is accompanied with MS events, abundant with low frequency component (0–200 Hz). But cement and coal specimens produce with relative wide frequency distribution in sample frequency domain, while glass specimens were found to only produce low frequency event. The powder particle sizes have obvious influence on the strength of coal specimen, but the loading rate seems to have no influence on the MS characteristics. The outcome of the paper will further provide a theoretical basis for understanding the mechanism of MS activities and has great significance to improve the coal mining safety.

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          A microscopic mechanism for steady state inhomogeneous flow in metallic glasses

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            The local mean decomposition and its application to EEG perception data.

            This paper describes the local mean decomposition (LMD), a new iterative approach to demodulating amplitude and frequency modulated signals. The new method decomposes such signals into a set of functions, each of which is the product of an envelope signal and a frequency modulated signal from which a time-varying instantaneous frequency can be derived. The LMD method can be used to analyse a wide variety of natural signals such as electrocardiograms, functional magnetic resonance imaging data, and earthquake data. The paper presents the results of applying LMD to a set of scalp electroencephalogram (EEG) visual perception data. The LMD instantaneous frequency and energy structure of the EEG is examined, and compared with results obtained using the spectrogram. The nature of visual perception is investigated by measuring the degree of EEG instantaneous phase concentration that occurs following stimulus onset over multiple trials. The analysis suggests that there is a statistically significant difference between the theta phase concentrations of the perception and no perception EEG data.
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              An experimental investigation on behaviour of coal under fluid saturation, using acoustic emission

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                Author and article information

                Journal
                Shock and Vibration
                Shock and Vibration
                Hindawi Limited
                1070-9622
                1875-9203
                2016
                2016
                : 2016
                : 1-12
                Affiliations
                [1 ]Faculty of Resources and Safety Engineering, China University of Mining and Technology, Beijing 100083, China
                [2 ]Department of Petroleum Engineering, Curtin University of Technology, Perth, WA 6151, Australia
                [3 ]School of Safety and Environment, Taiyuan University of Science and Technology, Taiyuan 030024, China
                Article
                10.1155/2016/6751496
                e708cd41-a8c4-4e43-acc2-0b788bc1b8b7
                © 2016

                http://creativecommons.org/licenses/by/4.0/

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