Abstract
Rupture in the heterogeneous crust appears to be a catastrophe transition. Catastrophic rupture sensitively depends on the details of heterogeneity and stress transfer on multiple scales. These are difficult to identify and deal with. As a result, the threshold of earthquake-like rupture presents uncertainty. This may be the root of the difficulty of earthquake prediction. Based on a coupled pattern mapping model, we represent critical sensitivity and trans-scale fluctuations associated with catastrophic rupture. Critical sensitivity means that a system may become significantly sensitive near catastrophe transition. Trans-scale fluctuations mean that the level of stress fluctuations increases strongly and the spatial scale of stress and damage fluctuations evolves from the mesoscopic heterogeneity scale to the macroscopic scale as the catastrophe regime is approached. The underlying mechanism behind critical sensitivity and trans-scale fluctuations is the coupling effect between heterogeneity and dynamical nonlinearity. Such features may provide clues for prediction of catastrophic rupture, like material failure and great earthquakes. Critical sensitivity may be the physical mechanism underlying a promising earthquake forecasting method, the load-unload response ratio (LURR).
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References
Bak, P., Tang, C., and Wiesenfeld, K. (1987), Self-Organized Criticality: An Explanation of 1/f Noise, Phys. Rev. Lett. 59, 381-384.
Bak, P., Tang, C., and Wiesenfeld, K. (1988), Self Organized Criticality, Phys. Rev. A 38, 364-374.
Bak, P. Self-Organized Criticality: A Holistic view of Nature.Complexity: MetaphorsModelsand Reality (eds. Cowan, G., Pines, D. and Meltzer, D.) (SFI Studies in Sciences of Complexity, Proc. Vol. XIX, Addison-Wesley 1994) pp. 477-493.
Bai, Y. L., Lu, C.S., Ke, F. J., Xia, M. F. (1994), Evolution Induced Catastrophe, Phys. Lett. A 185, 196-199.
Ben-Zion, Y. and Sammis, C. G. (2001), Characterization of Fault Zones, Pure Appl. Geophys., (in press).
Bowman, D. D., Ouillon, G., Sammis, C. G., Sornette, A., and Sornette, D. (1998), An Observational Test of the Critical Earthquake Concept, J. Geophys. Res. 103, 359.
Curran, D. R., Seaman, L., and Shockey, D. A. (1997), Dynamic Failure of Solids, Phys. Rep. 147, 253-388.
Curtin, W. A. (1997), Toughening in Disordered Brittle Materials, Phys. Rev. B 55, 11270-11276.
Coleman, B. D. (1958), On The Strength of Classical Fibers and Fiber Bundles, J. Mech. Phys. Solids 7, 60-70.
Daniels, H. E. (1945), The Statistical Theory of The Strength of Bundles of Threads, Proc. Roy. Soc. London A 183, 405-435.
Diodati, P., Marchesoni, F., and Piazza, S. (1991), Acoustic Emission from Volcanic Rocks: An Example of Self-organize Criticality, Phys. Rev. Lett. 67, 2239-2242.
Garcimartin, A., Guarino, L., Bellon and Ciliberto, S. (1997), Statistical Properties of Fracture Precursors, Phys. Rev. Lett. 79, 3202-3205.
Gutenberg, B. and Richter, C. F. (1944), Frequency of Earthquake in California, Bull. Seismol. Soc. Am. 34, 125-188.
Geller, R. J., Jacksom, D. D., Kagan, Y. Y., and Mulargia, F. (1997), Earthquakes Cannot be Predicted, Science 275, 1616-1617.
Heimpel, M. (1997), Critical Behaviour and the Evolution of Fault Strength during Earthquake Cycles, Nature, 388, 865-868.
Ibnabdeljalil, M. and Curtin, W.A. (1997), Strength and Reliability of Fiber-reinforced Composites:Local Load Sharing and Associated Size Effects, Int. J. Solids and Structures 34, 2649-2668.
Jaume, S. C. and Sykes L. R. (1999), Evolving Towards a Critical Point: A Review of Accelerating Seismic Moment! Energy Release Prior to Large and Great Earthquakes, Pure Appl. Geophys. 155, 279-305.
Knopoff, L. (2000), The Magnitude Distribution of Declustered Earthquakes in Southern California, Proc. Natl. Acad. Sci. USA 97, 11880-11884.
Lockner, D. A., Byerlee, J. D., Ponomarev, A., and Sidorin, A. (1991), Quasi-Static Fault Growth and Shear Fracture Energy in Granite, Nature 350, 439-443.
Lockner, D. A. and Byerlee, J. D., Precursory AE Patterns Leading to Roch Fracture. In Proc. 5th Conf on Acoustic Emmisions1 Microseismic Active in Geologic Structure and Materials, (ed. Hardy, H.R.) (Trans. Publ. 1992) pp. 1-4.
Lu, C. S., Takayasu, H., Tretyakov, A. Y., Takayasu, M., and Syumoyo, S. (1998), Lattice Model of the Brittle Crust, Self-Organized Criticality in a Block, Phys. Lett. A 242, 349-354.
Langer, J. S., Carlson, J. M., Myers, C. R., and Shaw, B. E. (1996), Slip Complexity in Dynamic Models of Earthquake Faults, Proc. Natl. Acad. Sci. USA 93, 3825-3829.
Meakin, P. (1991), Models for Material Failure and Deformation, Science 252, 226-234.
Sahimi, M. and Arbabi, S. (1993), Mechanics of Disordered Solid. III. Fracture Properties, Phys. Rev. B 47, 713-722.
Sammis, C. G. and Smith S. W. (1999), Seismic Cycles and the Evolution of Stress Correlation in Cellular Automaton Models of Finite Fault Networks, Pure Appl. Geophys. 155, 307-334.
Stein, R. S. (1999), The Role of Stress Transfer in Earthquake Occurrence, Nature 402, 605-609.
Swinbanks, D. (1997), Quake Panel Admits Prediction is Difficult’, Nature 388, 4.
Tiampo, K. F., Rundle, J. B., Gross, S. J., and Klein, K. (2000), Karhunen-Loeve Expansion Analysis of Seismicity on the Southern California Fault System, EOS Trans. AGU, 81(48), Fall Meet. Suppl., Abstract NG61A-12, 2000.
Turcotte, D. L. (1999), The Physics of Earthquakes: Is It a Statistical Problem?, In Proc. 1-st ACES Workshop Proceedings. (ed. Mora, P.), 95-98 (The APEC Cooperation for Earthquake Simulation, Brisbane).
Wang, C. Y. and Cai, Y. E. (1997), Sensitivity of Earthquake Cycles on the San Andreas Fault to Small Changes in Regional Compression, Nature 388, 158-161.
Wang, Y. C., Yin, X. C., and Wang, H. T. (1998), The Experimental Simulation of Rocks on Load) Unload Response Ratio for Earthquake Prediction, Earthquake Research in China (English Version) 12, 367-372.
Wei, Y. J., Xia, M. F., Ke, F. J., Yin, X. C., and Bai, Y. L. (2000), Evolution-Induced Catastrophe and Its Predictability, Pure Appl. Geophys. 157, 1945-1957.
Wyss, M., Aceves, R. L., Park, S. K., Geller, R. J., Jackson, D.D., Kagan, Y.Y., and Mulargia F. (1997), Cannot Earthquakes Be Predicted?, Science 275, 487-490.
Xia, M. F., Bai, Y. L., and Ke, F. J. (1996), A Stochastic Jump and Deterministic Dynamics Model of Impact Failure Evolution with Rate Effect, Theor. Appl. Frac. Mech. 24, 189-196.
Xia, M. F., Ke, F. J., Bai, J., and Bai, Y. L. (1997), Threshold Diversity and Trans-Scales Sensitivity in a Nonlinear Evolution Model, Phys. Lett. A 236, 60-64.
Xia, M. F., Ke, F. J., Wei, Y. J., Bai, J., and Bai, Y. L. (2000), Evolution Induced Catastrophe in a Nonlinear Dynamical Model of Materials Failures, Nonlinear Dynamics 22, 205-224.
Yin, X. C., Chen, X. Z., Song, Z. P., and Yin, C. (1994), A New Approach to Earthquake Prediction: Load/ Unload Response Ratio (LURR) Theory, Pure Appl. Geophys. 145, 701-705.
Yin, X. C., Chen, X. Z., Wang, Y. C., Wang, H. T., Peng, K. Y., Zhang, Y. X., and Zhuang, J. C. (1999), Development of a New Approach for Earthquake Prediction — The Load) Unload Response Ratio. In Proc. 1-st ACES Workshop Proceedings. (ed. Mora, P.), pp. 325-330 (The APEC Cooperation for Earthquake Simulation, Brisbane).
Yin, X. C., Mora, P., Peng, K. Y., Wang, Y. C., and Weatherly, D. (2002), Load-unload Response Ratio and Accelerating Moment/Energy ReleaseCritical Region Scaling and Earthquake Prediction, Pure appl. geophys. 159, 2511-2523.
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Xia, M.F., Wei, Y.J., Ke, F.J., Bai, Y.L. (2002). Critical Sensitivity and Trans-scale Fluctuations in Catastrophic Rupture. In: Matsu’ura, M., Mora, P., Donnellan, A., Yin, Xc. (eds) Earthquake Processes: Physical Modelling, Numerical Simulation and Data Analysis Part II. Pageoph Topical Volumes. Birkhäuser, Basel. https://doi.org/10.1007/978-3-0348-8197-5_16
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DOI: https://doi.org/10.1007/978-3-0348-8197-5_16
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