Skip to main content
Log in

Quantification of Fault-Zone Plasticity Effects with Spontaneous Rupture Simulations

  • Published:
Pure and Applied Geophysics Aims and scope Submit manuscript

Abstract

Previous studies have shown that plastic yielding in crustal rocks in the fault zone may impose a physical limit to extreme ground motions. We explore the effects of fault-zone non-linearity on peak ground velocities (PGVs) by simulating a suite of surface-rupturing strike-slip earthquakes in a medium governed by Drucker–Prager plasticity using the AWP-ODC finite-difference code. Our simulations cover magnitudes ranging from 6.5 to 8.0, three different rock strength models, and average stress drops of 3.5 and 7.0 MPa, with a maximum frequency of 1 Hz and a minimum shear-wave velocity of 500 m/s. Friction angles and cohesions in our rock models are based on strength criteria which are frequently used for fractured rock masses in civil and mining engineering. For an average stress drop of 3.5 MPa, plastic yielding reduces near-fault PGVs by 15–30% in pre-fractured, low strength rock, but less than 1% in massive, high-quality rock. These reductions are almost insensitive to magnitude. If the stress drop is doubled, plasticity reduces near-fault PGVs by 38–45% and 5–15% in rocks of low and high strength, respectively. Because non-linearity reduces slip rates and static slip near the surface, plasticity acts in addition to, and may partially be emulated by, a shallow velocity-strengthening layer. The effects of plasticity are exacerbated if a fault damage zone with reduced shear-wave velocities and reduced rock strength is present. In the linear case, fault-zone trapped waves result in higher near-surface peak slip rates and ground velocities compared to simulations without a low-velocity zone. These amplifications are balanced out by fault-zone plasticity if rocks in the damage zone exhibit low-to-moderate strength throughout the depth extent of the low-velocity zone (\(\sim\)5 km). We also perform dynamic non-linear simulations of a high stress drop (8 MPa) M 7.8 earthquake rupturing the southern San Andreas fault along 250 km from Indio to Lake Hughes. Non-linearity in the fault damage zone and in near-surface deposits would reduce peak ground velocities in the Los Angeles basin by 15–50%, depending on the strength of crustal rocks and shallow sediments. These results show that non-linear effects may be relevant even at long periods, in particular in earthquakes with high stress drop and in the presence of a low-velocity fault damage zone.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17

References

  • Andrews, D. (1976). Rupture velocity of plane strain shear cracks. Journal Geophysical Research, 81(32), 5679–5687.

    Article  Google Scholar 

  • Andrews, D. (2005). Rupture dynamics with energy loss outside the slip zone. Journal of Geophysical Research, 110(B1), 307.

    Article  Google Scholar 

  • Andrews, D., Hanks, T., & Whitney, J. (2007). Physical limits on ground motion at Yucca Mountain. Journal Geophysical Research, 97(6), 1771–1792.

    Google Scholar 

  • Barall, M. (2010). Tpv26 and tpv27 vertical fault with viscoplasticity benchmarks. Report: Invisible Software Inc.

    Google Scholar 

  • Baumann, C., & Dalguer, L. (2014). Evaluating the compatibility of dynamic rupture-based synthetic ground motion with empirical ground-motion prediction equation. Bulletin of the Seismological Society of America, 104(2),

  • Bizzarri, A. (2010). How to promote earthquake ruptures: Different nucleation strategies in a dynamic model with slip-weakening friction. Journal Geophysical Research, 100(3), 923–940.

    Google Scholar 

  • Bommer, J., & Abrahamson, N. (2006). Why do modern probabilistic seismic-hazard analyses often lead to increased hazard estimates? Journal Geophysical Research, 96(6), 1967–1977.

    Google Scholar 

  • Bommer, J., Abrahamson, N., Strasser, F., Pecker, A., Bard, P.-Y., Bungum, H., et al. (2004). The challenge of defining upper bounds on earthquake ground motions. Journal Geophysical Research, 75(1), 82–95.

    Google Scholar 

  • Boore, D. M., Stewart, J. P., Seyhan, E., & Atkinson, G. M. (2014). NGA-West2 equations for predicting PGA, PGV, and 5% damped PSA for shallow crustal earthquakes. Journal Geophysical Research, 30(3), 1057–1085.

    Google Scholar 

  • Campbell, K. W., & Bozorgnia, Y. (2014). NGA-West2 ground motion model for the average horizontal components of PGA, PGV, and 5% damped linear acceleration response spectra. Journal Geophysical Research, 30(3), 1087–1115.

    Google Scholar 

  • Chang, C., Zoback, M. D., & Khaksar, A. (2006). Empirical relations between rock strength and physical properties in sedimentary rocks. Journal Geophysical Research, 51(3), 223–237.

    Google Scholar 

  • Cochran, E. S., Li, Y.-G., Shearer, P. M., Barbot, S., Fialko, Y., & Vidale, J. E. (2009). Seismic and geodetic evidence for extensive, long-lived fault damage zones. Geology, 37(4), 315–318.

    Article  Google Scholar 

  • Cui, Y., Olsen, K., Lee, K., Zhou, J., Small, P., Roten, D., Ely, G., Panda, D., Chourasia, A., Levesque, J., Day, S., & Maechling, P. (2010). Scalable earthquake simulation on petascale supercomputers. In Proceedings of SC10. New Orleans, LA.

  • Dalguer, L., & Day, S. (2007). Staggered-grid split-node method for spontaneous rupture simulation. Journal of Geophysical Research, 112(B02), 302.

    Google Scholar 

  • Dalguer, L., & Mai, P. (2012). Prediction of near-source ground motion exceeding 1\(g\) at low frequencies (\(<\) 2 Hz) from \(M_w\) \(\sim\) 6.5 deterministic and numerical simulations physics-based dynamic rupture simulations. In Proceedings of 15th World Conference on Earthquake Engineering. Lisbon: Int. Assoc. for Earthquake Eng.

  • Dalguer, L., Day, S., Olsen, K., & Cruz-Atienza, V. (2008a). Rupture models and ground motion for Shakeout and other southern San Andreas fault scenarios. In Proceedings of 14th World Conference on Earthquake Engineering. Beijing: Int. Assoc. for Earthquake Eng.

  • Dalguer, L. A., & M. Mai. (2008). Implications of Style-of-Faulting and Loading Characteristics on the Dynamic Rupture Process. In AGU Fall Meeting Abstracts (pp. D1798).

  • Dalguer, L. A., Miyake, H., Day, S. M., & Irikura, K. (2008b). Surface rupturing and buried dynamic-rupture models calibrated with statistical observations of past earthquakes. Geology, 98(3), 1147–1161.

    Google Scholar 

  • Day, S., & Bradley, C. (2001). Memory-efficient simulation of anelastic wave propagation. Geology, 91(3), 520.

    Google Scholar 

  • Denolle, M., Dunham, E., Prieto, G., & Beroza, G. (2013). Strong Ground Motion Prediction using Virtual Earthquakes. Science, 343, 2013.

    Google Scholar 

  • Duan, B., & Day, S. (2010). Sensitivity study of physical limits on ground motion at Yucca Mountain. Science, 100(6), 2996–3019.

    Google Scholar 

  • Dunham, E. M., Belanger, D., Cong, L., & Kozdon, J. E. (2011a). Earthquake ruptures with strongly rate-weakening friction and off-fault plasticity, Part 1: planar faults. Science, 101(5), 2296–2307.

    Google Scholar 

  • Dunham, E. M., Belanger, D., Cong, L., & Kozdon, J. E. (2011b). Earthquake ruptures with strongly rate-weakening friction and off-fault plasticity, Part 2: Nonplanar faults. Science, 101(5), 2308–2322.

    Google Scholar 

  • Fialko, Y. (2004). Probing the mechanical properties of seismically active crust with space geodesy: Study of the coseismic deformation due to the 1992 M\(_w\) 7. 3 Landers (southern California) earthquake. Journal of Geophysical Research: Solid. Earth, 109(B3),

  • Fialko, Y., Sandwell, D., Simons, M., & Rosen, P. (2005). Three-dimensional deformation caused by the Bam. Science, 435(7040), 295–299.

    Google Scholar 

  • Field, E., Kramer, S., Elgamal, A.-W., Bray, J., Matasovic, N., Johnson, P., et al. (1998). Nonlinear site response: Where we’re at (a report from a SCEC/PEER seminar and workshop). Science, 69(3), 230–234.

    Google Scholar 

  • Gabriel, A.-A., Ampuero, J.-P., Dalguer, L. A., & Mai, P. M. (2013). Source properties of dynamic rupture pulses with off-fault plasticity. Journal Geophysical Research, 118(8), 4117–4126. doi:10.1002/jgrb.50213.

    Google Scholar 

  • Graves, R., & R. Pitarka. (2016). Kinematic ground motion simulations on rough faults including effects of 3D stochastic velocity perturbations. Bulletin of the Seismological Society of America (submitted to).

  • Graves, R. W., Aagaard, B. T., Hudnut, K. W., Star, L. M., Stewart, J. P., & Jordan, T. H. (2008). Broadband simulations for Mw 7.8 southern San Andreas earthquakes: Ground motion sensitivity to rupture speed. Geophysical Research Letters, 35(22), 302.

    Article  Google Scholar 

  • Hanks, T., Abrahamson, N., Board, M., Boore, D., Brune, J., & Cornell, C. (2005). Observed ground motions, extreme ground motions, and physical limits to ground motions. In Directions in Strong Motion Instrumentation (pp. 55–59).

  • Harris, R., Barall, M., Archuleta, R., Dunham, E., Aagaard, B., Ampuero, J., et al. (2009). The SCEC/USGS dynamic earthquake rupture code verification exercise. Journal Geophysical Research, 80(1), 119–126.

    Google Scholar 

  • Harris, R. A., & Day, S. M. (1997). Effects of a low-velocity zone on a dynamic rupture. Journal Geophysical Research, 87(5), 1267–1280.

    Google Scholar 

  • Harris, R. A., Barall, M., Andrews, D., Duan, B., Ma, S., Dunham, E., et al. (2011). Verifying a computational method for predicting extreme ground motion. Journal Geophysical Research, 82(5), 638–644.

    Google Scholar 

  • Hoek, E., Carranza-Torres, C., & Corkum, B. (2002). Hoek-Brown failure criterion - 2002 edition. Journal Geophysical Research, 1, 267–273.

    Google Scholar 

  • Horsrud, P. (2001). Estimating mechanical properties of shale from empirical correlations. Journal Geophysical Research, 16(2), 68–73.

    Google Scholar 

  • Huang, Y., Ampuero, J.-P., & Helmberger, D. V. (2014). Earthquake ruptures modulated by waves in damaged fault zones. Journal Geophysical Research, 119(4), 3133–3154.

    Google Scholar 

  • Leonard, M. (2010). Earthquake fault scaling: self-consistent relating of rupture length, width, average displacement, and moment release. Journal Geophysical Research, 100(5A), 1971–1988.

    Google Scholar 

  • Li, Y. G., Vidale, J. E., & Cochran, E. S. (2004). Low-velocity damaged structure of the San Andreas Fault at Parkfield from fault zone trapped waves. Geophysical Research Letters, 31(12),

  • Ma, S. (2008). A physical model for widespread near-surface and fault zone damage induced by earthquakes. Geochemistry Geophysics Geosystems, 9(11), 009.

    Article  Google Scholar 

  • Ma, S., & Andrews, D. (2010). Inelastic off-fault response and three-dimensional dynamics of earthquake rupture on a strike-slip fault. Journal of Geophysical Research: Solid Earth, 115(B4),

  • Magistrale, H., Day, S., Clayton, R., & Graves, R. (2000). The SCEC Southern California Reference Three-Dimensional Seismic Velocity Model Version 2. Journal Geophysical Research, 90(6B), S65–S76.

    Google Scholar 

  • Mai, P. M., & Beroza, G. C. (2002). A spatial random field model to characterize complexity in earthquake slip. Journal of Geophysical Research (Solid Earth), 107, 2308.

    Google Scholar 

  • Marinos, V., Marinos, P., & Hoek, E. (2005). The geological strength index: applications and limitations. Journal Geophysical Research, 64(1), 55–65.

    Google Scholar 

  • Milliner, C., Dolan, J., Hollingsworth, J., Leprince, S., Ayoub, F., & Sammis, C. (2015). Quantifying near-field and off-fault deformation patterns of the 1992 Mw 7.3 Landers earthquake. Geochemistry, Geophysics, Geosystems, 16, 1577–1598.

    Article  Google Scholar 

  • Olsen, K. B. (1994). Simulation of three-dimensional wave propagation in the Salt Lake basin, Ph.D. thesis, University of Utah, Salt Lake City, Utah.

  • Olsen, K. B., Day, S. M., Minster, J. B., Cui, Y., Chourasia, A., Faerman, M., et al. (2006). TeraShake: Strong shaking in Los Angeles expected from southern San Andreas earthquake. Journal Geophysical Research, 77, 281–282.

    Google Scholar 

  • Olsen, K. B., Day, S. M., Minster, Y. A., Cui, Y., Chourasia, A. J., Okaya, D., & Maechling, P. (2008). Terashake2; spontaneous rupture simulations of Mw 7.7 earthquakes on the southern San Andreas Fault. Bulletin of the Seismological Society of America, 98(3), 1162–1185, 2008.

  • Olsen, K. B., Day, S. M., Dalguer, L. A., Mayhew, J., Cui, Y., Zhu, J., et al. (2009). ShakeOut-D: Ground motion estimates using an ensemble of large earthquakes on the southern San Andreas fault with spontaneous rupture propagation. Geophysical Research Letters, 36(4), 303.

    Article  Google Scholar 

  • Roten, D., Olsen, K. B., Pechmann, J., Cruz-Atienza, V., & Magistrale, H. (2011). 3D Simulations of \(M\) 7 Earthquakes on the Wasatch fault, Utah, Part I: Long-period (0–1 Hz) ground motions. Journal Geophysical Research, 101(5), 2045–2063.

    Google Scholar 

  • Roten, D., Olsen, K., Day, S., Cui, Y., & Fäh, D. (2014). Expected seismic shaking in Los Angeles reduced by San Andreas fault zone plasticity. Journal Geophysical Research, 41(8), 2769–2777.

    Article  Google Scholar 

  • Shi, Z., & Day, S. M. (2013). Rupture dynamics and ground motion from 3-D rough-fault simulations. Journal Geophysical Research, 118(3), 1122–1141.

    Google Scholar 

  • Templeton, E., Bhat, H., Dmowska, R., & Rice, J. (2010). Dynamic rupture through a branched fault configuration at Yucca Mountain, and resulting ground motions. Journal Geophysical Research, 100(4), 1485–1497.

    Google Scholar 

  • Vidale, J. E., & Li, Y.-G. (2003). Damage to the shallow Landers fault from the nearby Hector Mine earthquake. Nature, 421(6922), 524–526.

    Article  Google Scholar 

  • Wyllie, D., & Mah, C. (2004). Rock slope engineering. Boca Raton: CRC Press.

    Google Scholar 

Download references

Acknowledgements

Computations were performed on Blue Waters at NCSA, using resources provided through the PRAC (Petascale Computing Resource Allocation) program, and on Titan, which is part of the Oak Ridge Leadership Facility at the Oak Ridge National Laboratory supported by DOE Contract No. DE-AC05-00OR22725. This research was supported by SCEC through by NSF Cooperative Agreement EAR-0529922 and USGS Cooperative Agreement 07HQAG0008, by USGS award G15AP00077, and by NSF awards EAR-1226343, OCI-114849, OCI-1450451, and EAR-1135455. We used the PyNGA package for Python by Feng Wang to compute spectral accelerations predicted by the two GMPEs. The authors thank two anonymous reviewers and the guest editor for valuable suggestions that helped to improve the manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to D. Roten.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Roten, D., Olsen, K.B., Day, S.M. et al. Quantification of Fault-Zone Plasticity Effects with Spontaneous Rupture Simulations. Pure Appl. Geophys. 174, 3369–3391 (2017). https://doi.org/10.1007/s00024-017-1466-5

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00024-017-1466-5

Keywords

Navigation