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2022 Fault-size dependent fracture energy, seismogenesis, and cascading rupture on multi-scale fault networks

By Dmitry Garagash

Dalhousie University

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Description

Fracture energy fundamentally affects all aspects of earthquake rupture, including fault seismogenesis. Seismological inferences of fracture energy [1-3] are seen to increase with both slip and the size of fault source. To explain these observations, refs [3-5] invoke co-seismic shear heating as the mechanism leading to continuing fault co-seismic weakening with slip on all scales. In this case, the observed correlation of fracture energy G with source/fault size R can be simply a consequence of larger faults been capable of hosting larger slip, and can otherwise be independent of individual fault properties (such as the thickness of the fault’s principal slip zone known to depend on fault maturity, total accrued fault slip, and fault size). While theoretically feasible at larger slip permissible on larger faults, such proposed fault-invariance of the fracture energy is questionable at smaller slip and/or smaller faults and fractures. It is the latter, i.e. the fracture energy at smaller values of slip, that governs dynamic rupture nucleation and is relevant to understanding seismogenesis.

We, therefore, propose that the fracture energy can be decomposed:
G = Gc (R) + ΔG(δ), where  Gc (R) is the minimum, ‘small slip’ fracture energy that is a fault property linked to the fault size R or total fault accrued slip, while ΔG(δ) is the ‘large-slip’ and possibly fault-invariant part of the fracture energy that increases continuously with co-seismic slip. The two can be linked to distinct fault weakening mechanisms activated at different levels of co-seismic slip [3].

We revisit the compilation [3] of seismologically-inferred partial fracture energy G' vs. source size R varying from ~10 meters to ~10 km. We convert G’ estimates which assume zero dynamic stress over/undershoot to the full fracture energy estimates by incorporating the effect of co-seismic restrengthening evaluated on the basis of a circular crack-like rupture driven by flash-heated, rate-state friction. While doing so, we recover the emergent linear scaling of the minimum fracture energy  Gc with fault size. 

We apply this scaling to model mechanically viable composite earthquake ruptures occurring as a cascade over networks of faults/fractures of very different sizes [6]. Depending on the prestress orientation, we recover two distinct modes of a composite earthquake rupture behavior. The first is the ‘classical’ rupture on a well-oriented main fault activating poorly-oriented fractures in the damage zone (off-fault slip). The second mode is the earthquake rupture cascading on well-oriented multi-scale fractures in the damage zone without main fault activation. The latter has very distinct ‘signature’ characteristics potentially observable by seismological methods, including the misalignment of the focal mechanism with the main fault trace, naturally limited apparent rupture (cascading) speed, and complex moment-rate release in the intermediate-to-high frequency content.

References

[1] R. E. Abercrombie and J. R. Rice. Can observations of earthquake scaling constrain slip weakening? Geophys. J. Int., 162:406–424, 2005.
[2] P. M. Mai, P. Somerville, A. Pitarka, L. Dalguer, S. Song, G. Beroza, H. Miyake, and K. Irikura. On scaling of fracture energy and stress drop in dynamic rupture models: Consequences for near-source ground-motions. Geophysical Monograph-American Geophysical Union, 170:283, 2006.
[3] R. C. Viesca and D. I. Garagash. Ubiquitous weakening of faults due to thermal pressurization. Nature Geoscience, 8:875–879, 2015.
[4] J. R. Rice. Heating and weakening of faults during earthquake slip. J. Geophys. Res., 111:B05311, 2006.
[5] N. Brantut and Robert C Viesca. The fracture energy of ruptures driven by flash heating. Geophysical Research Letters, 44(13):6718–6725, 2017. 
[6] K. Palgunadi, A.-A. Gabriel, D. Garagash and P. M. Mai, Cascading Earthquake Rupture in A Multi-Scale Fracture Network (S22A-04), AGU Fall Meeting 2021.

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