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A virtual testing strategy to determine effective yield criteria for porous pressure sensitive solids

Mahshid Ranjbar, Djordje Peric Orcid Logo

International Journal of Rock Mechanics and Mining Sciences, Volume: 138, Start page: 104625

Swansea University Author: Djordje Peric Orcid Logo

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DOI (Published version): 10.1016/j.ijrmms.2021.104625

Abstract

The aim of this work is to determine an effective yield criteria for porous pressure sensitive solids by employing a virtual testing strategy. The focus is on the pressure sensitivity typically displayed by geomaterials, such as sandstone. Virtual testing strategy is based on computational homogenis...

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Published in: International Journal of Rock Mechanics and Mining Sciences
ISSN: 1365-1609
Published: Elsevier BV 2021
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URI: https://cronfa.swan.ac.uk/Record/cronfa56030
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first_indexed 2021-01-14T10:29:20Z
last_indexed 2023-01-11T14:34:58Z
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spelling 2022-10-31T18:30:08.1575136 v2 56030 2021-01-14 A virtual testing strategy to determine effective yield criteria for porous pressure sensitive solids 9d35cb799b2542ad39140943a9a9da65 0000-0002-1112-301X Djordje Peric Djordje Peric true false 2021-01-14 CIVL The aim of this work is to determine an effective yield criteria for porous pressure sensitive solids by employing a virtual testing strategy. The focus is on the pressure sensitivity typically displayed by geomaterials, such as sandstone. Virtual testing strategy is based on computational homogenisation approach following a unified variational formulation, which provides bounds on the effective material properties for a given choice of the Representative Volume Element (RVE). In order to estimate the effective properties of porous solid, the constitutive behaviour of continuum matrix is assumed to follow the standard Drucker–Prager elasto-plastic model. The computationally generated effective yield criteria for porous solids are obtained for various RVE choices and compared against the recently proposed analytical estimates for Drucker–Prager type solids and the SR4 constitutive model for soft rocks. The developed virtual testing strategy is applied to estimate the effective properties of a realistic rock sample, thus illustrating a wide range of potential applications. Journal Article International Journal of Rock Mechanics and Mining Sciences 138 104625 Elsevier BV 1365-1609 Multi-scale, Yield criterion, Computational homogenisation, Virtual testing, Porous elasto-plastic materials 1 2 2021 2021-02-01 10.1016/j.ijrmms.2021.104625 COLLEGE NANME Civil Engineering COLLEGE CODE CIVL Swansea University 2022-10-31T18:30:08.1575136 2021-01-14T10:27:59.3921583 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering Mahshid Ranjbar 1 Djordje Peric 0000-0002-1112-301X 2 56030__19068__5b4de48cd45640cfa459e94419c4637d.pdf 56030.pdf 2021-01-15T09:05:39.9843298 Output 9029288 application/pdf Accepted Manuscript true 2022-01-12T00:00:00.0000000 © 2021. All rights reserved. All article content, except where otherwise noted, is licensed under a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND true eng http://creativecommons.org/licenses/by-nc-nd/4.0/
title A virtual testing strategy to determine effective yield criteria for porous pressure sensitive solids
spellingShingle A virtual testing strategy to determine effective yield criteria for porous pressure sensitive solids
Djordje Peric
title_short A virtual testing strategy to determine effective yield criteria for porous pressure sensitive solids
title_full A virtual testing strategy to determine effective yield criteria for porous pressure sensitive solids
title_fullStr A virtual testing strategy to determine effective yield criteria for porous pressure sensitive solids
title_full_unstemmed A virtual testing strategy to determine effective yield criteria for porous pressure sensitive solids
title_sort A virtual testing strategy to determine effective yield criteria for porous pressure sensitive solids
author_id_str_mv 9d35cb799b2542ad39140943a9a9da65
author_id_fullname_str_mv 9d35cb799b2542ad39140943a9a9da65_***_Djordje Peric
author Djordje Peric
author2 Mahshid Ranjbar
Djordje Peric
format Journal article
container_title International Journal of Rock Mechanics and Mining Sciences
container_volume 138
container_start_page 104625
publishDate 2021
institution Swansea University
issn 1365-1609
doi_str_mv 10.1016/j.ijrmms.2021.104625
publisher Elsevier BV
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering
document_store_str 1
active_str 0
description The aim of this work is to determine an effective yield criteria for porous pressure sensitive solids by employing a virtual testing strategy. The focus is on the pressure sensitivity typically displayed by geomaterials, such as sandstone. Virtual testing strategy is based on computational homogenisation approach following a unified variational formulation, which provides bounds on the effective material properties for a given choice of the Representative Volume Element (RVE). In order to estimate the effective properties of porous solid, the constitutive behaviour of continuum matrix is assumed to follow the standard Drucker–Prager elasto-plastic model. The computationally generated effective yield criteria for porous solids are obtained for various RVE choices and compared against the recently proposed analytical estimates for Drucker–Prager type solids and the SR4 constitutive model for soft rocks. The developed virtual testing strategy is applied to estimate the effective properties of a realistic rock sample, thus illustrating a wide range of potential applications.
published_date 2021-02-01T04:10:40Z
_version_ 1763753737669574656
score 11.035655

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