https://m2.mtmt.hu/ hun 2026-10-25 00:14 BookChapter 36213605 ADMIN_APPROVED true 0 false 2026-06-01T10:49:55.386+0000 2026-05-04T18:11:13.005+0000 2025-06-27T05:06:57.575+0000 true 10002250 Vásárhelyi Balázs /api/author/10002250 Author true 10002250 2026-04-13T10:41:25.774+0000 2026-04-13T10:41:25.774+0000 2026-05-04T18:11:13.177+0000 true 10063514 Mikola Katalin /api/admin/10063514 Admin true 10063514 Admin 10063514 /api/admin/10063514 Mikola Katalin true 10063514 true 2026-04-08T21:04:37.328+0000 true false true 25 25 /api/publicationtype/25 PublicationType 2 true 25 BookChapter true 10000312 Conference paper true 25 25 /api/publicationtype/25 PublicationType 2 true 25 BookChapter /api/subtype/10000312 Konferenciaközlemény SubType 228 true 10000312 true 1 /api/category/1 Category true 1 Narimani, S. Predicting the Crack Stress Thresholds of the Intact Granitic Rocks by machine learning and multivariate analysis techniques 1 8 1 8 2025 This research aims to significantly advance the understanding of crack stress thresholds in rocks by utilizing intelligent and statistical methodologies applied to a comprehensive database of granitic rocks. The database includes essential mechanical parameters, such as crack initiation stress and crack damage stress, as outputs, and unconfined compressive stress, Young's modulus, and Poisson's ratio as inputs. The study employs multivariate regression analysis (MRA), Decision tree (DT), and artificial neural network (ANN) techniques to analyze the data. To assess and compare the performance of these models, various metrics are used, including root-mean-square error (RMSE), mean absolute error (MAE), coefficient of determination (R²), mean absolute percent error (MAPE) and the a20-index. The findings reveal that the ANN method surpasses MRA-based and decision tree regression-based approaches in accurately predicting the output parameters. The ANN model demonstrates outstanding predictive performance for σci, achieving an R²=0.934, RMSE=5.965, MAE=4.79, MAPE=5.3% and VAF=93.34%. Similarly, the model excels in predicting σcd with an R²=0.985, RMSE=4.676, MAE=3.785, MAPE=2.3%, VAF=98.4%, Additionally, sensitivity analysis identifies unconfined Compressive stress (UCS) as the most critical factor in predicting crack initiation stress (σci) and crack damage stress (σcd). The findings suggest that the ANN model is more effective in predicting σci and σcd of rocks compared to other methods. true false 2025 true true true true true false NONE 2026-06-01 false 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 false false false false 2025-09-25T05:06:57.985+0000 Geotechnika és Mérnökgeológia Tanszék (BME / ÉMK) 2 13 1 3 0 true 1792 true 10002 English /api/language/10002 Angol Language true 2 false true 10734 true 10037 /api/country/10037 Country true 2149062 /api/city/10734 City true 1308895 true 29667129 /api/publicationidentifier/29667129 https://www.worldcat.org/search?q=isbn%3A9788282080798 9788282080798 PublicationIdentifier true 122 ISBN https://www.worldcat.org/search?q=isbn%3A@@@ /api/publicationsource/122 ISBN PlainSource true true 10002 /api/publicationsourcetype/10002 PublicationSourceType true false 122 true false true 31950087 /api/publicationidentifier/31950087 https://hdl.handle.net/11250/3574972 https://hdl.handle.net/11250/3574972 PublicationIdentifier true 142 @@@ /api/publicationsource/142 Repozitóriumban PlainSource true true 10006 /api/publicationsourcetype/10006 PublicationSourceType true true 142 true false true 29667136 /api/publicationidentifier/29667136 https://eurock2025.com/proceedings https://eurock2025.com/proceedings PublicationIdentifier true 39 Full text @@@ /api/publicationsource/39 Teljes dokumentum PlainSource true true 10006 /api/publicationsourcetype/10006 PublicationSourceType true true 39 true false /api/publication/36272080 true true 23 23 /api/publicationtype/23 PublicationType 3 true 23 Book ISRM International Symposium Eurock 2025 : Expanding the Underground Space false false 36272080 false true true true true 10000144 Conference proceedings true 23 23 /api/publicationtype/23 PublicationType 3 true 23 Book /api/subtype/10000144 Konferenciakötet SubType 345 true 10000144 false Book 2025 true 1 /api/category/1 Category true 1 false 10063514 Language 10002 /api/language/10002 Angol English true 2 true PersonAuthorship 127036410 /api/authorship/127036410 1 0.333 true false true Author 10081821 /api/author/10081821 Narimani Ghourtlar Samad true true Narimani S. true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 127036412 /api/authorship/127036412 2 0.333 false false Author 10002250 /api/author/10002250 Vásárhelyi Balázs true 10002250 true Vásárhely B. true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 127036411 /api/authorship/127036411 3 0.333 false true Davarpanah S.M. true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PublicationIdentifier 29667130 /api/publicationidentifier/29667130 PlainSource 39 /api/publicationsource/39 PublicationSourceType 10006 /api/publicationsourcetype/10006 true true true Teljes dokumentum Full text @@@ true true 39 true https://airdrive.eventsair.com/eventsairwesteuprod/production-atlanticmice-public/a6d89bd81fde4639880b5950e395e3cb https://airdrive.eventsair.com/eventsairwesteuprod/production-atlanticmice-public/a6d89bd81fde4639880b5950e395e3cb false true /api/publication/36213605 <div class="BookChapter Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png"> <div class="autype autype0"> <span class="author-name" mtid="10081821"><a href="/gui2/?type=authors&mode=browse&sel=10081821" target="_blank">Narimani S. ✉ (<span class="authorship-author-name">Narimani Ghourtlar Samad</span> <span class="authorAux-mtmt"> Geotechnics, Geology, Rock Mechanics, Tunneling...</span>) </a> </span> <span class="author-affil"><span title="Budapesti Műszaki és Gazdaságtudományi Egyetem">BME</span>/<span title="Építőmérnöki Kar">ÉMK</span>/Geotechnika és Mérnökgeológia Tanszék</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10002250"><a href="/gui2/?type=authors&mode=browse&sel=10002250" target="_blank">Vásárhely B. (<span class="authorship-author-name">Vásárhelyi Balázs</span> <span class="authorAux-mtmt"> Kőzetmechanika</span>) </a> </span> <span class="author-affil"><span title="Budapesti Műszaki és Gazdaságtudományi Egyetem">BME</span>/<span title="Építőmérnöki Kar">ÉMK</span>/Geotechnika és Mérnökgeológia Tanszék</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Davarpanah S.M. </span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;36213605" target="_blank">Predicting the Crack Stress Thresholds of the Intact Granitic Rocks by machine learning and multivariate analysis techniques</a></div> <div class="InBook"><div class="chapter-in">In:</div> <div class="authors"> <div class="autype autype-1"> <span class="author-name" >Kristin Hilde Holmøy </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Javier Macias </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Are Håvard Høien </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Mari Lie Arntsen </span> (szerk.) </div> </div> <div class="booktitle"><a href="/gui2/?mode=browse&params=publication;36272080" target="_blank">ISRM International Symposium Eurock 2025 : Expanding the Underground Space </a></div> <div class="conference"> Konferencia helye, ideje: <span class="location">Trondheim, Norvégia <span class="conference-date">2025.06.16. - 2025.06.20.</span> </div> <span class="publishedAt">Oslo: <span class="publishers">Norsk Betongforening</span>, <span class="page"> pp 1-8 </span> <span class="year">(2025)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:black" title="https://airdrive.eventsair.com/eventsairwesteuprod/production-atlanticmice-public/a6d89bd81fde4639880b5950e395e3cb" target="_blank" href="https://airdrive.eventsair.com/eventsairwesteuprod/production-atlanticmice-public/a6d89bd81fde4639880b5950e395e3cb"> Teljes dokumentum </a> </span> </span> <span class="bookchapter-ids">Befoglaló link(ek):</span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:black" title="9788282080798" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9788282080798"> 9788282080798 </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="https://hdl.handle.net/11250/3574972" target="_blank" href="https://hdl.handle.net/11250/3574972"> Repozitóriumban </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="https://eurock2025.com/proceedings" target="_blank" href="https://eurock2025.com/proceedings"> Teljes dokumentum </a> </span> </span> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;36213605&sort=publishedYear,desc&sort=title"> Idézett közlemények száma: 2 </a> </div> <div class="mtid"><span class="long-pub-mtid">Közlemény: 36213605</span> | <span class="status-data status-ADMIN_APPROVED"> Admin láttamozott </span> <span class="long-book-mtid">Befoglaló: 36272080</span> Forrás Idéző | <span class="type-subtype">Könyvrészlet ( Konferenciaközlemény ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData"></span> </div> <div class="lastModified">Utolsó módosítás: 2026.05.04. 20:11 Mikola Katalin (MTMT 3, admin) </div> <div class="lockedBy">Központi kezelésű 2026.04.08. 23:04 Mikola Katalin (MTMT 3, admin) </div> </div> </div>