Literature DB >> 33219335

Early prediction of macrocrack location in concrete, rocks and other granular composite materials.

Antoinette Tordesillas1, Sanath Kahagalage2, Charl Ras2, Michał Nitka3, Jacek Tejchman3.   

Abstract

Heterogeneous quasibrittle composites like concrete, ceramics and rocks comprise grains held together by bonds. The question on whether or not the path of the crack that leads to failure can be predicted from known microstructural features, viz. bond connectivity, size, fracture surface energy and strength, remains open. Many fracture criteria exist. The most widely used are based on a postulated stress and/or energy extremal. Since force and energy share common transmission paths, their flow bottleneck may be the precursory failure mechanism to reconcile these optimality criteria in one unified framework. We explore this in the framework of network flow theory, using microstructural data from 3D discrete element models of concrete under uniaxial tension. We find the force and energy bottlenecks emerge in the same path and provide an early and accurate prediction of the ultimate macrocrack path [Formula: see text]. Relative to all feasible crack paths, the Griffith's fracture surface energy and the Francfort-Marigo energy functional are minimum in [Formula: see text]; likewise for the critical strain energy density if bonds are uniformly sized. Redundancies in transmission paths govern prefailure dynamics, and predispose [Formula: see text] to cascading failure during which the concomitant energy release rate and normal (Rankine) stress become maximum along [Formula: see text].

Entities:  

Year:  2020        PMID: 33219335      PMCID: PMC7679422          DOI: 10.1038/s41598-020-76616-y

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  10 in total

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6.  Controlling congestion on complex networks: fairness, efficiency and network structure.

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7.  Direct observation of atomic-scale fracture path within ceramic grain boundary core.

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8.  Generalized energy failure criterion.

Authors:  R T Qu; Z J Zhang; P Zhang; Z Q Liu; Z F Zhang
Journal:  Sci Rep       Date:  2016-03-21       Impact factor: 4.379

9.  Early Crack Detection of Reinforced Concrete Structure Using Embedded Sensors.

Authors:  Joyraj Chakraborty; Andrzej Katunin; Piotr Klikowicz; Marek Salamak
Journal:  Sensors (Basel)       Date:  2019-09-09       Impact factor: 3.576

10.  Preferential flow pathways in a deforming granular material: self-organization into functional groups for optimized global transport.

Authors:  Joost H van der Linden; Antoinette Tordesillas; Guillermo A Narsilio
Journal:  Sci Rep       Date:  2019-12-03       Impact factor: 4.379

  10 in total
  1 in total

1.  Spatiotemporal slope stability analytics for failure estimation (SSSAFE): linking radar data to the fundamental dynamics of granular failure.

Authors:  Antoinette Tordesillas; Sanath Kahagalage; Lachlan Campbell; Pat Bellett; Emanuele Intrieri; Robin Batterham
Journal:  Sci Rep       Date:  2021-05-06       Impact factor: 4.379

  1 in total

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