Record breaking bursts during the compressive failure of porous materials

TL;DR

This study analyzes record-breaking events in crackling noise during the compressive failure of porous materials, revealing a transition from random disorder effects to correlated interactions leading to failure.

Contribution

It introduces a detailed statistical analysis of record events in crackling noise, highlighting the transition point and the influence of correlations on failure dynamics.

Findings

Number of records follows a decelerating power law then accelerates before failure.

A characteristic record rank separates disorder-dominated and correlation-dominated regimes.

Surrogate data confirms correlations are responsible for observed record behavior.

Abstract

An accurate understanding of the interplay between random and deterministic processes in generating extreme events is of critical importance in many fields, from forecasting extreme meteorological events to the catastrophic failure of materials and in the Earth. Here we investigate the statistics of record-breaking events in the time series of crackling noise generated by local rupture events during the compressive failure of porous materials. The events are generated by computer simulations of the uni-axial compression of cylindrical samples in a discrete element model of sedimentary rocks that closely resemble those of real experiments. The number of records grows initially as a decelerating power law of the number of events, followed by an acceleration immediately prior to failure. We demonstrate the existence of a characteristic record rank k^* which separates the two regimes of the time evolution. Up to this rank deceleration occurs due to the effect of random disorder. Record breaking then accelerates towards macroscopic failure, when physical interactions leading to spatial and temporal correlations dominate the location and timing of local ruptures. Sub-sequences of bursts between consecutive records are characterized by a power law size distribution with an exponent which decreases as failure is approached. High rank records are preceded by bursts of increasing size and waiting time between consecutive events and they are followed by a relaxation process. As a reference, surrogate time series are generated by reshuffling the crackling bursts. The record statistics of the uncorrelated surrogates agrees very well with the corresponding predictions of independent identically distributed random variables, which confirms that the temporal and spatial correlation of cracking bursts are responsible for the observed unique behaviour.