Abstract

Forecasting the imminent catastrophic failure has a high importance for a large variety of systems from the collapse of engineering constructions, through the emergence of landslides and earthquakes, to volcanic eruptions. Failure forecast methods predict the lifetime of the system based on the time-to-failure power law of observables describing the final acceleration towards failure. We show that the statistics of records of the event series of breaking bursts, accompanying the failure process, provides a powerful tool to detect the onset of acceleration, as an early warning of the impending catastrophe. We focus on the fracture of heterogeneous materials using a fiber bundle model, which exhibits transitions between perfectly brittle, quasi-brittle, and ductile behaviors as the amount of disorder is increased. Analyzing the lifetime of record size bursts, we demonstrate that the acceleration starts at a characteristic record rank, below which record breaking slows down due to the dominance of disorder in fracturing, while above it stress redistribution gives rise to an enhanced triggering of bursts and acceleration of the dynamics. The emergence of this signal depends on the degree of disorder making both highly brittle fracture of low disorder materials, and ductile fracture of strongly disordered ones, unpredictable.

Highlights

  • Www.nature.com/scientificreports similar to the entropy change of seismicity under time reversal suggested earlier for earthquakes[25,26,27,44,45,46]

  • Here we demonstrate that the waiting time between consecutive record breakings, i.e. the lifetime of records, is very sensitive to the details of the fracture process providing a clear signal of the acceleration of the dynamics towards ultimate failure

  • To investigate the evolution of fracture processes leading to ultimate failure, we use a generic fiber bundle model (FBM) which has proven successful in reproducing both the constitutive response and the intermittent bursting dynamics of heterogeneous materials on the macro- and microscales, respectively[60,61]

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Summary

Introduction

Www.nature.com/scientificreports similar to the entropy change of seismicity under time reversal suggested earlier for earthquakes[25,26,27,44,45,46]. To quantify how the degree of disorder determines the predictability of failure, we investigate the internal structure of the sequence of breaking bursts analyzing the record size events. We show the existence of a characteristic record rank k* which marks the onset of acceleration of record breaking: below k* record breaking slows down due to the dominance of disorder in the fracture process, while above it the stress redistribution gives rise to an enhanced triggering of bursts after breaking events. We show that the highly brittle fracture of low disorder materials and the ductile failure of strongly disordered ones are both unpredictable due to the absence of accelerated record breaking. Our results imply the existence of a lower and upper bound of the amount of materials’ disorder beyond which no meaningful failure prediction is possible

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