Dynamics of undeforming regions in the lead up to failure: jumping scales from lab to field
Knowledge transfer from micromechanics of granular media failure to geohazard forecasting and mitigation has been slow. But in the face of a rapidly expanding data infrastructure on the motion of individual grains for laboratory samples – and ground motion data at the field scale – opportunities to...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2021-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2021/03/epjconf_pg2021_10002.pdf |
| _version_ | 1818354079422742528 |
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| author | Tordesillas Antoinette Zhou Shuo Campbell Lachlan Bellett Pat |
| author_facet | Tordesillas Antoinette Zhou Shuo Campbell Lachlan Bellett Pat |
| author_sort | Tordesillas Antoinette |
| collection | DOAJ |
| description | Knowledge transfer from micromechanics of granular media failure to geohazard forecasting and mitigation has been slow. But in the face of a rapidly expanding data infrastructure on the motion of individual grains for laboratory samples – and ground motion data at the field scale – opportunities to accelerate this knowledge transfer are emerging. In particular, such data assets coupled with data-driven approaches enable ‘new eyes’ to re-examine granular failure. To this end, effective strategies that can jump scales from bench to field are urgently needed. Here we demonstrate one strategy that focusses on the study of deformation patterns in the precursory failure regime using kinematic data. Unlike previous studies which focus on regions of high strains, here we probe the development and evolution of near-undeforming regions through the lens of explosive percolation. We find a common dynamical signature in which undeforming regions, which are initially transient in the precursory failure regime, become persistent from the time of imminent failure. We demonstrate the robustness of these findings for data on individual grain motions in a classical laboratory test and ground motion in two real landslides at vastly different scales. |
| first_indexed | 2024-12-13T19:19:43Z |
| format | Article |
| id | doaj.art-e3543dae35484574977f7299a8fe18cd |
| institution | Directory Open Access Journal |
| issn | 2100-014X |
| language | English |
| last_indexed | 2024-12-13T19:19:43Z |
| publishDate | 2021-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | EPJ Web of Conferences |
| spelling | doaj.art-e3543dae35484574977f7299a8fe18cd2022-12-21T23:34:11ZengEDP SciencesEPJ Web of Conferences2100-014X2021-01-012491000210.1051/epjconf/202124910002epjconf_pg2021_10002Dynamics of undeforming regions in the lead up to failure: jumping scales from lab to fieldTordesillas Antoinette0Zhou Shuo1Campbell Lachlan2Bellett Pat3School of Mathematics and Statistics, University of MelbourneSchool of Mathematics and Statistics, University of MelbourneGroundProbe, Orica MonitorGroundProbe, Orica MonitorKnowledge transfer from micromechanics of granular media failure to geohazard forecasting and mitigation has been slow. But in the face of a rapidly expanding data infrastructure on the motion of individual grains for laboratory samples – and ground motion data at the field scale – opportunities to accelerate this knowledge transfer are emerging. In particular, such data assets coupled with data-driven approaches enable ‘new eyes’ to re-examine granular failure. To this end, effective strategies that can jump scales from bench to field are urgently needed. Here we demonstrate one strategy that focusses on the study of deformation patterns in the precursory failure regime using kinematic data. Unlike previous studies which focus on regions of high strains, here we probe the development and evolution of near-undeforming regions through the lens of explosive percolation. We find a common dynamical signature in which undeforming regions, which are initially transient in the precursory failure regime, become persistent from the time of imminent failure. We demonstrate the robustness of these findings for data on individual grain motions in a classical laboratory test and ground motion in two real landslides at vastly different scales.https://www.epj-conferences.org/articles/epjconf/pdf/2021/03/epjconf_pg2021_10002.pdf |
| spellingShingle | Tordesillas Antoinette Zhou Shuo Campbell Lachlan Bellett Pat Dynamics of undeforming regions in the lead up to failure: jumping scales from lab to field EPJ Web of Conferences |
| title | Dynamics of undeforming regions in the lead up to failure: jumping scales from lab to field |
| title_full | Dynamics of undeforming regions in the lead up to failure: jumping scales from lab to field |
| title_fullStr | Dynamics of undeforming regions in the lead up to failure: jumping scales from lab to field |
| title_full_unstemmed | Dynamics of undeforming regions in the lead up to failure: jumping scales from lab to field |
| title_short | Dynamics of undeforming regions in the lead up to failure: jumping scales from lab to field |
| title_sort | dynamics of undeforming regions in the lead up to failure jumping scales from lab to field |
| url | https://www.epj-conferences.org/articles/epjconf/pdf/2021/03/epjconf_pg2021_10002.pdf |
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