Literature DB >> 23005845

Prediction of catastrophes: an experimental model.

Randall D Peters1, Martine Le Berre, Yves Pomeau.   

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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Year:  2012        PMID: 23005845     DOI: 10.1103/PhysRevE.86.026207

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  3 in total

1.  Numerical path integral calculation of the probability function and exit time: an application to non-gradient drift forces.

Authors:  Fernando Mora; Pierre Coullet; Sergio Rica; Enrique Tirapegui
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2018-11-12       Impact factor: 4.226

2.  Supernovae: an example of complexity in the physics of compressible fluids.

Authors:  Yves Pomeau; Martine Le Berre; Pierre-Henri Chavanis; Bruno Denet
Journal:  Eur Phys J E Soft Matter       Date:  2014-04-25       Impact factor: 1.890

3.  Alignment of Lyapunov Vectors: A Quantitative Criterion to Predict Catastrophes?

Authors:  Marcus W Beims; Jason A C Gallas
Journal:  Sci Rep       Date:  2016-11-15       Impact factor: 4.379

  3 in total

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