Antony, SJ orcid.org/0000-0003-1761-6306, Olugbenga, A and Ozerkan, N (2018) Sensing, measuring and modelling the mechanical properties of sandstone. Rock Mechanics and Rock Engineering, 51 (2). pp. 451-464. ISSN 0723-2632
Abstract
We present a hybrid framework for simulating the strength and dilation characteristics of sandstone. Where possible, the grain-scale properties of sandstone are evaluated experimentally in detail. Also, using photo-stress analysis, we sense the deviator stress (/strain) distribution at the microscale and its components along the orthogonal directions on the surface of a V-notch sandstone sample under mechanical loading. Based on this measurement and applying a grain-scale model, the optical anisotropy index K0 is inferred at the grain scale. This correlated well with the grain contact stiffness ratio K evaluated using ultrasound sensors independently. Thereafter, in addition to other experimentally characterised structural and grain-scale properties of sandstone, K is fed as an input into the discrete element modelling of fracture strength and dilation of the sandstone samples. Physical bulk scale experiments are also conducted to evaluate the load-displacement relation, dilation and bulk fracture strength characteristics of sandstone samples under compression and shear. A good level of agreement is obtained between the results of the simulations and experiments. The current generic framework could be applied to understand the internal and bulk mechanical properties of such complex opaque and heterogeneous materials more realistically in future.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Springer-Verlag GmbH Austria 2017. This is an author produced version of a paper published in Rock Mechanics and Rock Engineering. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Micromechanics, rock mechanics, mechanical properties, optical stress analysis, DEM |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds) |
Funding Information: | Funder Grant number Qatar National Research Fund NPRP-6-1010-2-413 |
Depositing User: | Symplectic Publications |
Date Deposited: | 18 Oct 2017 09:39 |
Last Modified: | 25 Oct 2018 00:38 |
Status: | Published |
Publisher: | Springer Verlag |
Identification Number: | 10.1007/s00603-017-1347-3 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:122676 |