Cargando…

Record statistics of bursts signals the onset of acceleration towards failure

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Kádár, Viktória, Pál, Gergő, Kun, Ferenc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7018714/
https://www.ncbi.nlm.nih.gov/pubmed/32054929
http://dx.doi.org/10.1038/s41598-020-59333-4
_version_ 1783497376877510656
author Kádár, Viktória
Pál, Gergő
Kun, Ferenc
author_facet Kádár, Viktória
Pál, Gergő
Kun, Ferenc
author_sort Kádár, Viktória
collection PubMed
description 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.
format Online
Article
Text
id pubmed-7018714
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-70187142020-02-21 Record statistics of bursts signals the onset of acceleration towards failure Kádár, Viktória Pál, Gergő Kun, Ferenc Sci Rep Article 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. Nature Publishing Group UK 2020-02-13 /pmc/articles/PMC7018714/ /pubmed/32054929 http://dx.doi.org/10.1038/s41598-020-59333-4 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Kádár, Viktória
Pál, Gergő
Kun, Ferenc
Record statistics of bursts signals the onset of acceleration towards failure
title Record statistics of bursts signals the onset of acceleration towards failure
title_full Record statistics of bursts signals the onset of acceleration towards failure
title_fullStr Record statistics of bursts signals the onset of acceleration towards failure
title_full_unstemmed Record statistics of bursts signals the onset of acceleration towards failure
title_short Record statistics of bursts signals the onset of acceleration towards failure
title_sort record statistics of bursts signals the onset of acceleration towards failure
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7018714/
https://www.ncbi.nlm.nih.gov/pubmed/32054929
http://dx.doi.org/10.1038/s41598-020-59333-4
work_keys_str_mv AT kadarviktoria recordstatisticsofburstssignalstheonsetofaccelerationtowardsfailure
AT palgergo recordstatisticsofburstssignalstheonsetofaccelerationtowardsfailure
AT kunferenc recordstatisticsofburstssignalstheonsetofaccelerationtowardsfailure