Earthquake nucleation. Pablo Ampuero Caltech Seismolab

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Earthquake nucleation Pablo Ampuero Caltech Seismolab

How do earthquakes start? Do small and large earthquakes start differently? Predictive value of earthquake onset and foreshock sequences? Seismological observations: seismic nucleation phase, foreshock sequences Laboratory observations Friction laws and earthquake nucleation Further implications: stress drop, recurrence time, seismicity rate, tremors

Seismological observations Nucleation duration (s) Ellsworth and Beroza (1995) Beroza and Ellsworth (1996) Seismic moment (Nm)

Seismological observations Foreshock sequences Dodge et al (1996)

Seismological observations A Mw3.9 earthquake in Alaska triggered by Love waves from the April 11, 2012 Mw 8.6 Sumatra earthquake Tape et al (2013)

Seismological observations Nucleation phase of the Mw3.9 Alaska triggered earthquake Tape et al (2013)

Seismological observations 1/ττ cc instantaneous frequency Simons et al (2006) Nakamura (1988)

Seismological observations Magnitude dependence of early dominant period Allen and Kanamori (2003)

Seismological observations Peak ground displacement (Pd) grows exponentially. Growth rate depends on magnitude Colombelli et al (2014)

Seismological observations Foreshock sequence of the 2011 Tohoku earthquake Kato et al (2012)

Seismological observations Foreshocks of the 2014 Iquique (Chile) earthquake

Laboratory experiments Ohnaka (1990)

Laboratory experiments Nielsen et al (2010)

Laboratory experiments Laboratory foreshocks Rubinstein et al (2007)

Laboratory experiments Foreshocks promoted by aseismic slip McLaskey and Kilgore (2014)

Fracture mechanics Static equilibrium in a linear elastic solid with a crack and boundary conditions: σ(x) = σ 0 for x > a and σ(x) = 0 for x < a. σ 0 Stress singularity at the crack tips σ 0

Fracture mechanics Stress singularity at the crack tips. Asymptotic form: +OO( rr) where r is the distance to a crack tip, K is the stress intensity factor and Δσ the stress drop (here, σ 0-0) In reality, stresses are finite: singularity accommodated by inelastic deformation.

Fracture mechanics Energy release rate = energy flux to the crack tip per unit of crack advance: GG aa = KK aa 2 2μμ = ππ Δττ2 aa 2μμ During quasi-static crack growth, this energy is dissipated at the crack tip into fracture energy GG(aa) = GG cc During dynamic growth, GG aa > GG cc At rest, GG aa GG cc

Nucleation size At the onset of rupture (critical equilibrium): GG cc = ππ Δττ2 aa 2μμ earthquake initiation requires a minimum crack size (nucleation size) aa cc = 2222GG cc ππδδττ 22 (μμ 30 GPa, Δττ 5 MPa) Estimates for large earthquakes: GG cc 10 6 J/m 2 aa cc 1 km how can M<4 earthquakes nucleate?! Laboratory estimates: GG cc 10 3 J/m 2 aa cc 1 m (M -2) G c scaling problem

Limitations of fracture mechanics: Rock strength is finite Shear stress (Mpa) Byerlee s law ττ 0.6σσ Normal stress (Mpa)

Fault zone damage [Chester and Chester, 1998] Fault zone thickness and maturity (Savage and Brodsky, 2011)

Cohesive zone models Assumption: dissipative processes are mapped onto the fault plane, represented by a distribution of cohesive stresses near the crack tip Usual cohesive models: constant (Dugdale, Barenblatt) linearly dependent on distance to crack tip (Palmer and Rice, Ida) linearly dependent on slip (Ida, Andrews) Slip and stress along a shear crack (only half crack shown, Andrews 1976) Slip Process zone Stress Singular crack ττ ss Slip weakening crack ττ dd

Cohesive zone size Cohesive stresses generate a negative stress intensity factor KK cc ττ ss ττ dd Λ Slip Stress τ s that cancels the singularity: KK + KK cc = 0 size of the cohesive zone Λ KK2 ττ ss ττ dd 2 GG cc = KK2 2μμ τ d Λ 2μμGG cc / ττ ss ττ dd 2 Process zone size Λ

Laboratory-derived friction laws Requirements : High normal stress (100 MPa) High slip rate (1 m/s) Large displacements (>1 m) Large sample (>L c ) and high resolution Gouge + fluids Sandwich configuration (Ohnaka and Shen 1999) Only partially met by current experiments Rotary configuration (Chambon et al 2002)

Laboratory-derived friction laws Low resolution experiments ( spring+block ) record the average stress and slip macroscopic friction High resolution experiments are densely instrumented local friction + rupture nucleation and propagation S = stress D = slip Large scale experiment Dieterich (1980)

Slip weakening friction Chambon et al (2000) Slip weakening (e.g. Ohnaka) is the main effect during fast dynamic rupture. Linear slip weakening is a simplified model. Important parameters: D c = characteristic slip, associated to micro-contact evolution or grain rearrangement. Slip (cm) Without gouge D c 0.1 mm. With gouge D c >10 cm Strength drop: ττ ss ττ dd Usually a small fraction of normal stress 0.1 σσ Fracture energy of a linear slip weakening model : GG cc = 11 22 ττ ss ττ dd DD cc

Exponential initiation Linear slip-weakening: Δττ = ττ ss ττ dd DD/DD cc If there is some viscosity in the fault behavior: Δττ = ηη DD Equating both: Hence DD = ssss DD tt exp ssss where ss = ττ ss ττ dd /ηηdd cc One form of viscosity is radiation damping, ηη = μμ/2cc ss

Dynamic Rupture Simulation

Exponential initiation ss mm = 2cc ss ττ ss ττ dd /μμdd cc ss = ττ ss ττ dd /ηηdd cc Simulations Ripperger et al (2007) Observations Tape et al (2013)

Rupture arrest Rupture percolation transition Ripperger et al (2007)

Rupture arrest Fault plane Nucleation area ττ 00 ττ nnnnnn > ττ 00 Runaway ruptures Stopping ruptures Rupture nucleated at a highly stressed patch. Will it stop spontaneously? How does the rupture outcome depend on patch size and overstress? ττ 00 increases Numerical simulations compared to fracture mechanics predictions (Galis et al, 2014) Background stress

Laboratory foreshocks Rubinstein et al (2007)

Laboratory foreshocks Kammer et al (2014) Lab results reproduced by slip-weakening and fracture mechanics models

Rate-and-state friction Second order effects: logarithmic healing (micro-contact creep) and velocityweakening Phenomenological rate-and-state friction law introduced by Dieterich and Ruina in the early 1980s Essential ingredients: non-linear viscosity evolution effect μμ = μμ + aa ln VV VV + bb ln VV θθ LL θθ = 1 VVVV LL Most important during slow slip (nucleation and post-seismic) During fast dynamic rupture, an equivalent D c can be estimated: D c 20 L VV = slip velocity, θθ = state variable

Integration between dynamic rupture and earthquake cycle modeling Galvez et al (2014) Yingdi Luo, earthquake cycle simulations

Rate-and-state simulations of deep tremor swarms Tremor swarms result from a cascade of triggering between brittle asperities mediated by creep transients: Asperity failure propagating creep perturbation loading and failure of next asperity Quasi-dynamic 3D simulations in collaboration with K. Ariyoshi (Earth Simulator, JAMSTEC, Japan)

Rate-and-state simulations of foreshock swarms Iquique 2014 foreshock sequence

Slow fronts during nucleation Nielsen et al (2010) Kaneko and Ampuero (2011)

Slow fronts in rate-and-state earthquake models (Kaneko and Ampuero 2011) Before V slow stage During V slow stage Before the V slow stage (interseismic stage): inward propagation of two very slow creep fronts The V slow stage starts on a stress concentration inherited from the coalescence of the creep fronts Consider a stress concentration (=F length) over a background stress drop ( τ). The static energy release rate as function of distance to the stress concentration (a) reaches a minimum at some distance. This implies a roughly constant rupture speed.

Process zone size In slip-weakening friction: Λ μμdd cc /(ττ ss ττ dd ) In rate-and-state friction: Fast sliding far above steady-state (VV LL/θθ) produces quasi-linear slip-weakening with: DD cc LL ln VV VV ττ ss ττ dd bbbb ln VV VV ΛΛ μμμμ bbbb = LL bb Rubin and Ampuero (2005)

Nucleation size Different nucleation regimes depending on a/b (ratio of viscous to weakening effects) Localized slip at low a/b Expanding slip at high a/b Minimum localization size = LL bb Different nucleation sizes Maximum nucleation size bb bb aa 2 LLbb a/b Rubin and Ampuero (2005)

Rate-and-state friction and fracture energy Most important during slow slip (nucleation and postseismic) Rate-and-state behaves as slip-weakening during fast dynamic rupture Kaneko et al (2008) Equivalent : DD cc = LL ln VV VV 20 LL GG cc 1 2 bbbbbb ln VV 2 VV

Faults operating at low stress How large is stress drop Δττ compared to strength drop ττ ss ττ dd? From seismological observations: Δττ = 1 10 Mpa From friction and lithostatic overburden: ττ ss ττ dd = σσ μμ ss μμ dd = OO(100 MMMMMM) Δττ ττ ss ττ dd Why so small?

Faults operating at low stress Fault loaded by deep creep stress concentration at the base of the seismogenic zone Interseismic slip Interseismic stress Seismogenic zone Creeping zone z z

Faults operating at low stress Static strength ττ ss Interseismic stress Stress drop Strength drop ττ ss ττ dd Dynamic strength ττ dd Seismogenic depth W z

Faults operating at low stress Static strength ττ ss Interseismic stress Average stress drop ΔΔττ Strength drop ττ ss ττ dd Dynamic strength ττ dd Seismogenic depth W z

Faults operating at low stress Fracture energy balance: GG cc = KK2 Δττ2 WW 2μμ 2μμ Δττ 2μμGG cc /WW Uenishi and Rice s nucleation size: LL cc = μμdd cc ττ ss ττ dd Δττ ττ ss ττ dd LL cc WW 1

Recurrence time scaling of repeating earthquakes Recurrence time scaling TT MM 0 0.18 Nadeau and Johnson (1989) Whereas classical scaling is TT MM 0 1/3

Repeating earthquakes Model: a circular brittle patch (radius R) embedded in a creeping fault

Repeating earthquakes z z Seismogenic zone Interseismic slip Interseismic stress Creeping zone z z

Recurrence time scaling of repeating earthquakes Repeating earthquake model: a circular brittle patch (radius R) embedded in a creeping fault (steady slip rate VV cccccccccc ) From fracture mechanics Δττ 2μμGG cc /RR From elasticity: Δττ μμμμ/rr Slip budget: DD = VV cccccccccc TT per event Seismic moment: MM 0 = μμμμrr 2 DD TT MM 0 0.18 TT 2GG cc μμ 2 5 1 1 5 V cccccccccc MM 0

How do earthquakes start? Do small and large earthquakes start differently? Predictive value of earthquake onset and foreshock sequences? Seismological observations: seismic nucleation phase, foreshock sequences Laboratory observations Friction laws and earthquake nucleation Further implications: stress drop, recurrence time, seismicity rate, tremors