Signatures of localization control transition between rupture styles on basaltic megathrusts
Year: 2025
Type: article
Abstract: Megathrust faults at subduction zones slip at a broad spectrum of rates from slow creep (centimeters per year) to dynamic rupture (meters per second) with large excess fluid pressures implicated as a control on nucleation style. We report friction measurements on oceanic basalt gouges (IODP Expedition 368X) at elevated temperatures (150°C−450°C), stresses (150 MPa) and large fluid overpressures (30-120 MPa) to represent conditions along the descending slab and to link observed rheology to microtextural evolution. With reducing effective stress, slip instabilities are first manifest as slow-slip and evolve through dynamic stick-slip as a result of reduced shear zone width. This transition in rupture style is driven by an increase in effective fault stiffness k’c and decrease in nucleation length L. Increased intergranular pressure dissolution at elevated effective stress mediates the shear localization width, controls the dynamics of strain localization, and leaves a structurally discernable fingerprint. Our results imply that effective stress-controlled mass transfer, together with strain localization, dictates the styles of instability nucleation manifest as slow earthquakes rationally evolving into dynamic megathrust ruptures. Evolution of slow slip to dynamic rupture on seabed megathrusts in basalt can be explained by strain localization and a transition to strain weakening behaviour encoded as a microtextural signature in triaxial shear experiments on oceanic basalt gouge.
Language: English
Subfield: Geophysics
Field: Earth and Planetary Sciences
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,490
Awards: The physics of Earthquake faulting: learning from laboratory earthquake prediCTiON to Improve forecasts of the spectrum of tectoniC failure modes: TECTONIC, MACHINE LEARNING AND DATA SCIENCE TO ADVANCE LABORATORY EARTHQUAKE PREDICTION AND ILLUMINATE THE MECHANICS OF PRECURSORS TO FAILURE, G5646633403, G7129640874, MACHINE LEARNING APPROACHES TO PREDICTING INDUCED SEISMICITY AND IMAGING GEOTHERMAL RESERVOIR PROPERTIES, G8499911927
OpenAlex ID: W4417424128
