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Prediction of catastrophes: An experimental model

Randall D. Peters1, Martine Le Berre2, and Yves Pomeau3

  • 1Department of Physics, Mercer University, Macon, Georgia, USA
  • 2Institut des Sciences Moléculaires d'Orsay ISMO-CNRS, Université Paris-Sud, Bâtiment 210, 91405 Orsay, France
  • 3Department of Mathematics, University of Arizona, Tucson, Arizona, USA

Phys. Rev. E 86, 026207 – Published 16 August, 2012

DOI: https://doi.org/10.1103/PhysRevE.86.026207

Abstract

Catastrophes of all kinds can be roughly defined as short-duration, large-amplitude events following and followed by long periods of “ripening.” Major earthquakes surely belong to the class of “catastrophic” events. Because of the space-time scales involved, an experimental approach is often difficult, not to say impossible, however desirable it could be. Described in this article is a “laboratory” setup that yields data of a type that is amenable to theoretical methods of prediction. Observations are made of a critical slowing down in the noisy signal of a solder wire creeping under constant stress. This effect is shown to be a fair signal of the forthcoming catastrophe in two separate dynamical models. The first is an “abstract” model in which a time-dependent quantity drifts slowly but makes quick jumps from time to time. The second is a realistic physical model for the collective motion of dislocations (the Ananthakrishna set of equations for unstable creep). Hope thus exists that similar changes in the response to noise could forewarn catastrophes in other situations, where such precursor effects should manifest early enough.

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References (22)

  1. G. Ananthakrishna, Phys. Rep. 440, 113 (2007).
  2. Y. Pomeau and M. Le Berre, arXiv:1102.5637; Y. Pomeau, M. Le Berre, J.-L. Le Mouël, C. Narteau, and P. Fromy, Comptes-rendus de la 14e Rencontre du Non Linéaire, edited by C. Josserand, M. Lefranc, and C. Letellier (Non-Linéaire, Saint-Etienne du Rouvray, 2011).
  3. G. Ananthakrishna and D. Sahoo, J. Phys. D 14, 2081 (1981).
  4. M. C. Valsakumar and G. Ananthakrishna, J. Phys. D 16, 1055 (1983).
  5. A. A. Dorodnicyn, Am. Math. Soc. Transl. Seri. One 4, 1 (1953) [translated from Priklad Mat. Mek. 11, 313 (1947)].
  6. V. A. Dubrovskiy and V. N. Sergeev, GEOS, Moscow 1, 222 (2001) (in Russian); Dok. Phys. 49, 231 (2004).
  7. V. A. Dubrovskiy and V. N. Sergeev, Ital. J. Eng. Geol. Environ., Spec. Issue 1, 183 (2006).
  8. D. Sornette and J. V. Andersen, Europhys. Lett. 74, 778 (2006).
  9. Y. Haung, H. Salem, C. Sammis, and D. Sornette, Europhys. Lett. 41, 43 (1994); C. G. Bufe and D. J. Varnes, J. Geophys. Res. 98, 9871 (1990); A. Guarino, S. Ciliberto, A. Garcimartín, M. Zei, and R. Scorretti, Eur. Phys. J. B 26, 141 (2002); R. De and G. Ananthakrishna, Europhys. Lett. 66, 715 (2004); see Nature Debates (1999) http://helix.nature.com/debates/earthquake.
  10. Y. Pomeau and M. Le Berre, in Chaos, CNN, Memristors and Beyond, edited by A. Adamatzky and G. Chen (World Scientific, Singapore, 2012) (to be published); see also arXiv:1107.3331.
  11. In situations similar to one of the van der Pol equation in the limit of large nonlinearities, the slow to fast transition occurs at the point on the slow manifold where the large component of the velocity is tangent to the slow manifold. This tangency never happens in the Dieterich-Ruina equations because, there, the large component of the velocity crosses everywhere the slow manifold at a finite angle. Therefore the scenario of slow to fast transition is different in the Dieterich-Ruina equations than what it is in limit cycles of the Liénard–van der Pol–like equations.
  12. This product came from Tel-Atomic, Inc., a company that specializes in “Tools for Teaching Advanced Physics.” It is no longer available as a commercial product. One reason this instrument is no longer manufactured was the loss, due to a factory fire, of readily available chips that constituted the key component (NE5521n integrated circuit) used in the support electronics for its displacement sensor [13]. The same first example of fully differential capacitive sensors is also employed (except employed as a pair, for mechanical common mode rejection of noise) with different electronics, in another of the company's instruments, the computerized Cavendish balance [14].
  13. US Patent No. 5461319 (1995). A description of the sensor is provided at http://telatomic.com/mechanics/sensor.html.
  14. http://telatomic.com/mechanics/cavendish-balance.html. The support electronics for this balance employs a novel capacitive to digital converter (AD7745), which was marketed by Analog Devices soon after the demise of the NE5521n.
  15. The USB4CH is described online at http://www.symres.com.
  16. The VolksMeter is described online at http://psn.quake.net/volksmeter/State-of-the-art-Digital-Seismograph.pdf.
  17. The Earthquake data are shown at http://physics.mercer.edu/hpage/CSP/bounce.html.
  18. R. Thom, Stabilité structurelle et morphogénese (Benjamin, New York, 1972); V. I. Arnol'd, Catastrophe Theory, 3rd ed. (Springer-Verlag, New York, 1992).
  19. Sweeping bifurcation in dynamical systems has been studied before. To the best of our knowledge it has been considered in continuous transitions in the following two cases: first, from the point of view of bifurcation theory with a time direction inverse of ours, namely in the direction where a pair of equilibria appears in forward time; see T. Erneux and P. Mandel, SIAM J Appl. Math. 46, 1 (1986); second, for continuous thermodynamical phase transitions; see D. Sornette, J. Phys. I (France) 4, 209 (1994). J.-P. Bouchaud and R. Cont, Eur. Phys. J. B 6, 543 (1998), also studied the saddle-node transition with noise, considering the bifurcation for different shapes of potential near the transition value. They suggest a change of shape of potential resulting from the time dependence of a control parameter. However they do not solve the dynamical problem with an explicitly time-dependent potential, whereas this is the key of our study. We show in particular that the slow dependence (with respect to time) of the potential allows one to obtain a universal picture of the dynamical saddle-node bifurcation with an intermediate time scale near the transition which could precisely be seen as a precursor time, a time scale absent in this reference.
  20. M. Abramowitz and I. A. Stegun, eds., Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables (Dover, New York, 1965), Chap. 10.
  21. C. Kuehn, Physica D 240, 1020 (2011), and references herein.
  22. R. D. Peters, M. Le Berre, and Y. Pomeau, arXiv:1204.1551.

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