Počet záznamů: 1  

Detection of metal fibres in cementitious composites based on signal and image processing approaches

  1. 1.
    SYSNO ASEP0472580
    Druh ASEPJ - Článek v odborném periodiku
    Zařazení RIVJ - Článek v odborném periodiku
    Poddruh JČlánek ve SCOPUS
    NázevDetection of metal fibres in cementitious composites based on signal and image processing approaches
    Tvůrce(i) Vala, J. (CZ)
    Hobst, L. (CZ)
    Kozák, Vladislav (UFM-A) RID, ORCID
    Celkový počet autorů3
    Zdroj.dok.WSEAS Transactions on Applied and Theoretical Mechanics - ISSN 1991-8747
    Roč. 10, č. 1 (2015), s. 39-46
    Poč.str.8 s.
    Jazyk dok.eng - angličtina
    Země vyd.GR - Řecko
    Klíč. slovaCementitious composites ; Computational simulation ; Non-destructive testing
    Vědní obor RIVJI - Kompozitní materiály
    Institucionální podporaUFM-A - RVO:68081723
    EID SCOPUS84926451665
    AnotaceMechanical properties of cementitious composites, reinforced by metal fibres, are conditioned by the volume fraction and distribution of directions of fibres. However, their reliable non-destructive or low-invasive experimental evaluation is a serious problem. The paper pays attention to four classes of such indirect methods. The first class relies on the planar X-ray imaging, with the discrete fast Fourier transform applied to image processing. The second one applies the magnetic approach, with certain electromagnetic alternative. The third one comes from the computed tomography, as an unique exact method for the detection of volume fraction without breaking the sample, with an information on (an)isotropy as a benefit. The last one is concentrated to the FEM modelling. Examples related to all sketched method from the experiments performed at the Brno University of Technology show the advantages and restrictions of particular approaches. © 2015, World Scientific and Engineering Academy and Society. All rights reserved.
    PracovištěÚstav fyziky materiálu
    KontaktYvonna Šrámková, sramkova@ipm.cz, Tel.: 532 290 485
    Rok sběru2017
Počet záznamů: 1  

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