1. Micro-scale effects of stylolite orientation on the motion of tensile failure: A study analyzing strain fields of stylolite limestones using Particle Image Velocimetry
- Author
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Versluis, Barry (author) and Versluis, Barry (author)
- Abstract
Many laboratory tests of samples where the rock fractures are based on meso-scale (cm) characterization of effective ‘intact’ strength parameters neglecting the microstructure effects. Understanding fracturing processes at micro-scale (mm) will require models with microstructure data. However, data is lacking on micro-scale. Stylolites are natural rock-rock interlocked interfaces which form by a localized dissolution process and their interface contains minerals and material different from that in the surrounding host rock. Microstructures such as stylolites influence the tensile stress behaviour in a rock formation. We are interested in stylolites because they can act as drains or as barriers to flow. Therefore, we introduce a study where we investigate on micro-scale failure mechanisms of limestone samples with stylolites in diverse orientations. In preceding study (Pluymakers et al., pers. comm.) a series of Brazilian Disc Tests was performed on eleven samples all including stylolites of microscale carbonate samples from the ”Treuchtlinger Marmor” formation from the Molasse Basin (Munich, Germany). All experiments were filmed using a DSLR camera. In this study we aim to develop the use of the Particle Image Velocimetry method to analyze such type of movies. We use the developed Particle Image Velocimetry method to analyze three of the movies of the preceding study, which contained samples where the stylolite is at different angles to the horizontal axis of the sample, so to s3. Two samples has an angle of 90° between the stylolite and s3 and one with an angle of 40°. In this open-source software the pixel displacement is analyzed in frames (i.e. consecutive images, ’before’ and ’after’ image) and it calculates the velocity distribution within the framepairs, but it is also used to derive, display and export multiple parameters of the flow pattern. In this study we, Applied Earth Sciences
- Published
- 2020