Frictional and mechanical properties for a wide range of geologic materials related to cation exchange capacity

DOI

Natural faults are known to host a wide range of mineral types, with a wide range of fault strength (quantified by the coefficient of friction) and friction velocity-dependence (quantified by the parameter a-b). In particular the velocity-dependence of friction is important because it partially determines the style of fault slip, from stable creep through a family of slow slip or slow earthquakes, to fast earthquakes. We use a chemical approach related to water-rock interactions. We measured the cation exchange capacity (CEC) of 10 different rock and mineral standards, including non-clays and a range of phyllosilicate minerals. We use the CEC as a proxy for the mineral surface charge and the ability to bind water to the mineral surfaces. For these materials, we conducted laboratory shearing experiments measuring the pre-shear cohesion, peak friction coefficient, residual friction coefficient, post-shear cohesion under 10 MPa effective normal stress. The velocity-dependence of friction a-b was determined from 3-fold velocity step increases in the range 0.1-30 µm/s.

Identifier
DOI https://doi.pangaea.de/10.1594/PANGAEA.964844
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.964844
Provenance
Creator Ikari, Matt J (ORCID: 0000-0002-8164-411X); Conin, Marianne
Publisher PANGAEA
Publication Year 2024
Funding Reference European Research Council https://doi.org/10.13039/501100000781 Crossref Funder ID 714430 https://cordis.europa.eu/project/id/714430 Plate-rate experimental deformation: Aseismic, transient or seismic fault slip
Rights Creative Commons Attribution 4.0 International; Data access is restricted (moratorium, sensitive data, license constraints); https://creativecommons.org/licenses/by/4.0/
OpenAccess false
Representation
Resource Type Bundled Publication of Datasets; Collection
Format application/zip
Size 9 datasets
Discipline Earth System Research