Literature DB >> 27627383

Predicting sample lifetimes in creep fracture of heterogeneous materials.

Juha Koivisto1, Markus Ovaska1, Amandine Miksic1, Lasse Laurson1, Mikko J Alava1.   

Abstract

Materials flow-under creep or constant loads-and, finally, fail. The prediction of sample lifetimes is an important and highly challenging problem because of the inherently heterogeneous nature of most materials that results in large sample-to-sample lifetime fluctuations, even under the same conditions. We study creep deformation of paper sheets as one heterogeneous material and thus show how to predict lifetimes of individual samples by exploiting the "universal" features in the sample-inherent creep curves, particularly the passage to an accelerating creep rate. Using simulations of a viscoelastic fiber bundle model, we illustrate how deformation localization controls the shape of the creep curve and thus the degree of lifetime predictability.

Entities:  

Year:  2016        PMID: 27627383     DOI: 10.1103/PhysRevE.94.023002

Source DB:  PubMed          Journal:  Phys Rev E        ISSN: 2470-0045            Impact factor:   2.529


  5 in total

1.  Microscopic dynamics and failure precursors of a gel under mechanical load.

Authors:  Stefano Aime; Laurence Ramos; Luca Cipelletti
Journal:  Proc Natl Acad Sci U S A       Date:  2018-03-19       Impact factor: 11.205

2.  Catastrophic Failure and Critical Scaling Laws of Fiber Bundle Material.

Authors:  Shengwang Hao; Hang Yang; Xiangzhou Liang
Journal:  Materials (Basel)       Date:  2017-05-09       Impact factor: 3.623

3.  Crack growth and energy dissipation in paper.

Authors:  Maryam Hanifpour; Tero Mäkinen; Juha Koivisto; Markus Ovaska; Mikko J Alava
Journal:  Sci Rep       Date:  2018-11-26       Impact factor: 4.379

4.  Machine learning plastic deformation of crystals.

Authors:  Henri Salmenjoki; Mikko J Alava; Lasse Laurson
Journal:  Nat Commun       Date:  2018-12-13       Impact factor: 14.919

5.  Record statistics of bursts signals the onset of acceleration towards failure.

Authors:  Viktória Kádár; Gergő Pál; Ferenc Kun
Journal:  Sci Rep       Date:  2020-02-13       Impact factor: 4.379

  5 in total

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