Number of the records: 1  

Linear and nonlinear attributes of ultrasonic time series recorded from experimentally loaded rock samples and total failure prediction

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    SYSNO ASEP0087473
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleLinear and nonlinear attributes of ultrasonic time series recorded from experimentally loaded rock samples and total failure prediction
    TitleLineární a nelineární vlastnosti ultrazvukové časové série, zaznamenané z experimentálně zatěžovaných horninových vzorků a predikce totálního rozrušení
    Author(s) Rudajev, Vladimír (GLU-S) RID, SAI
    Číž, R. (AU)
    Source TitleInternational Journal of Rock Mechanics and Mining Sciences. - : Elsevier - ISSN 1365-1609
    Roč. 44, č. 3 (2007), s. 457-467
    Number of pages11 s.
    Publication formWWW - WWW
    Languageeng - English
    CountryGB - United Kingdom
    Keywordsultrasonic emission ; microfracturing ; time series ; autocorrelation ; fractal dimensions ; neural networks
    Subject RIVDC - Siesmology, Volcanology, Earth Structure
    R&D ProjectsGA205/06/0906 GA ČR - Czech Science Foundation (CSF)
    CEZAV0Z30130516 - GLU-S (2005-2011)
    AV0Z30460519 - USMH-B (2005-2011)
    UT WOS000244217400010
    EID SCOPUS33846325122
    DOI10.1016/j.ijrmms.2006.08.001
    AnnotationThe monitoring of the ultrasonic and acoustic emission occurring during loading of rocks provides important information about the fracturing process taking place in the rock sample. This study analyzed and compared several parameters derived from the time series of the UE activity for short- and middle-term experiments. The comparison between linear correlation coefficients, nonlinear correlation coefficients, variogram values and fractal dimensions is carried out. All analyzed parameters show precursor behaviour prior to the rock sample total failure. Developed multi-channel algorithm, based on artificial neural networks, is proposed for the discrimination between stable and unstable state of rock sample.
    WorkplaceInstitute of Geology
    ContactJana Popelková, popelkova@gli.cas.cz, Sabina Janíčková, Tel.: 233 087 272
    Year of Publishing2008
Number of the records: 1  

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