Highlights A procedure for determining operational parameters for PIV analysis is presented. Velocity fields calculated through PIV can be utilized to infer strain fields. Shear bands formation is a periodic phenomenon, even when grousers are absent.

    Abstract Experimental analysis of running gear–soil interaction traditionally focuses on the measurement of forces and torques developed by the running gear. This type of measurement provides useful information about running gear performance but it does not allow for explicit investigation of soil failure behavior. This paper describes a methodology based on particle image velocimetry for analyzing soil motion from a sequence of images. A procedure for systematically identifying experimental and processing settings is presented. Soil motion is analyzed for a rigid wheel traveling on a Mars regolith simulant while operating against a glass wall, thereby imposing plain strain boundary conditions. An off-the-shelf high speed camera is used to collect images of the soil flow. Experimental results show that it is possible to accurately compute soil deformation characteristics without the need of markers. Measured soil velocity fields are used to calculate strain fields.


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    Titel :

    Design and implementation of a particle image velocimetry method for analysis of running gear–soil interaction


    Beteiligte:
    Senatore, Carmine (Autor:in) / Wulfmeier, Markus (Autor:in) / Vlahinić, Ivan (Autor:in) / Andrade, Jose (Autor:in) / Iagnemma, Karl (Autor:in)

    Erschienen in:

    Journal of Terramechanics ; 50 , 5-6 ; 311-326


    Erscheinungsdatum :

    2013-09-29


    Format / Umfang :

    16 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Design and implementation of a particle image velocity method for analysis of running gear-soil interaction

    Senatore,C. / Wulfmeiner,M. / Vlahimic,I. et al. | Kraftfahrwesen | 2013


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    Online Contents | 1995


    Particle Image Velocimetry via Wavelet Analysis

    Jeonghwan Ko / Andrew J. Kurdila / Jose L. Gilarranz et al. | AIAA | 1998


    Holographic Particle Image Velocimetry

    Hinsch, K. D. / Deutsches Zentrum fur Luft- und Raumfahrt / University og Gottingen et al. | British Library Conference Proceedings | 2001