Data Publication

Micromechanics of shear failure in a porous rock: a combined dataset of high-resolution time-resolved 3D x-ray micro-tomography volumes and local 3D strain fields with contemporaneous acoustic emissions and ultrasonic velocity survey waveforms

NERC EDS National Geoscience Data Centre

(2022)

Descriptions

This dataset shows both the micro-scale mechanisms and acoustic response involved in shear failure of a deforming porous rock. To our knowledge, this is the first such dataset to combine simultaneous acoustic measurements and x-ray tomography imaging. It comprises a time-series of 3D in-situ synchrotron x-ray microtomography (µCT) volumes showing a Clashach sandstone sample (CL10) undergoing triaxial deformation to failure under a constant acoustic emissions (AE) event rate. Use of a constant AE event rate slowed down the failure process after peak stress, enabling shear failure to be captured in unprecedented spatio-temporal detail by the µCT volumes. These volumes are accompanied by the local incremental 3D strain fields and simultaneously acquired waveforms from acoustic emissions and ultrasonic velocity surveys, as well as mechanical bulk stress and strain. These data are fully explained in Cartwright-Taylor et al. Seismic events miss important grain-scale mechanisms governed by kinematics during shear failure of porous rock, in review at Nature Communications. We also include an equivalent time-series of the same data types showing a second Clashach sandstone sample (CL04) undergoing triaxial deformation to failure, this time under a constant strain rate where failure happened abruptly, shortly after peak stress. Both collections were acquired in-situ on the beamline I12-JEEP at the Diamond Light Source, Didcot, UK, in September 2019. Each 3D µCT volume of the sample is contained in a .zip file labelled with the sequential scan number. Each volume comprises reconstructed 16-bit grey-scale data in a sequence of 2D image files (.tif), each numbered according to the depth at which it lies within the sample volume. The file dimensions are pixels, with an edge length of 7.91 µm. Two further .zip files contain the incremental 3D volumetric and deviatoric strain fields, obtained from digital volume correlation between neighbouring µCT volumes. Each strain field consists of a 32-bit 3D image file (.tif) in pixels with an edge length of 316.4 µm, labelled with its scan increment. Also included are (i) .csv files, containing the mechanical stress and strain time-series, the time and mechanical data at which each µCT volume was scanned, and the acoustic emissions event rate data, and (ii) .zip files containing times and waveforms for the acoustic emissions and ultrasonic velocity surveys as .ascii files. The .zip and .xlsx files are labelled with the sample name, the data type (grey-scale, strain-volumetric, strain-deviatoric, seismic, mechanical, mechCT, eventrateAE) and the sequential scan number (grey-scale only) according to the following convention: sample_datatype_scan#. We acknowledge Diamond Light Source for time on beamline I12-JEEP under proposal MG22517. This work is supported by the UK's Natural Environment Research Council (NERC) through the CATFAIL project NE/R001693/1 Catastrophic failure: what controls precursory localisation in rocks?

Keywords

Originally assigned keywords

rock deformation

shear failure

faulting

compression tests

sandstone

ultrasonic velocity

digital volume correlation

micromechanics

acoustic emissions

Corresponding MSL vocabulary keywords

shear failure

sandstone

acoustic emission (AE)

MSL enriched keywords

Inferred deformation behavior

deformation behaviour

localized deformation

shear failure

sedimentary rock

sandstone

Measured property

acoustic emission (AE)

Measured property

acoustic emission (AE)

Ancillary equipment

acoustic measurement - active source

ultrasonic imaging equipment

strain

Ancillary equipment

model structure monitoring (3D)

acoustic measurement - active source

ultrasonic imaging equipment

strain

minerals

chemical elements

carbon

diamond

Apparatus

deformation testing

compression testing

triaxial compression apparatus

Apparatus

X-ray tomography

Technique

imaging (3D)

computed tomography (CT)

MSL enriched sub domains i

rock and melt physics

analogue modelling of geologic processes

microscopy and tomography

Source

https://www2.bgs.ac.uk/nationalgeosciencedatacentre/citedData/catalogue/56c7802c-93db-4f0f-8b89-e18e10215633.html

Source publisher

NERC EDS National Geoscience Data Centre

DOI

10.5285/56c7802c-93db-4f0f-8b89-e18e10215633

Creators

Cartwright-Taylor, Alexis

Butler, Ian B

Fusseis, Florian

Ling, Martin

Andò, Edward

Mangriotis, Maria-Daphne

Main, Ian G

Rizzo, Roberto E

Marti, Sina

Leung, Derek D

Magdysyuk, Oxana V

Citation

Cartwright-Taylor, A., Butler, I. B., Fusseis, F., Ling, M., Andò, E., Mangriotis, M.-D., Main, I. G., Rizzo, R. E., Marti, S., Leung, D. D., & Magdysyuk, O. V. (2022). Micromechanics of shear failure in a porous rock: a combined dataset of high-resolution time-resolved 3D x-ray micro-tomography volumes and local 3D strain fields with contemporaneous acoustic emissions and ultrasonic velocity survey waveforms [Data set]. NERC EDS National Geoscience Data Centre. https://doi.org/10.5285/56C7802C-93DB-4F0F-8B89-E18E10215633

Dates

Available:

2022-05-12

Issued:

2022

Funding References

Funder name: Natural Environment Research Council

Funder identifier: https://doi.org/10.13039/501100000270

Funder identifier type: Crossref Funder ID

Award number: NE/R001693/1

Award title: Catastrophic Failure: what controls precursory damage localisation in rocks?