Prediction of the tensile strength of sandstones using image processing and GMDH techniques
Abstract The tensile strength of rock plays a crucial role in the planning of tunnels and underground engineering projects. Given the inefficiency of the direct method in measuring this strength, non-destructive testing methods are now being employed to predict the tensile strength (TS) of rocks. Du...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2025-08-01
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| Series: | International Journal of Geo-Engineering |
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| Online Access: | https://doi.org/10.1186/s40703-025-00249-1 |
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| author | Amin Taheri-Garavand Yasin Abdi Yudong Zhang |
| author_facet | Amin Taheri-Garavand Yasin Abdi Yudong Zhang |
| author_sort | Amin Taheri-Garavand |
| collection | DOAJ |
| description | Abstract The tensile strength of rock plays a crucial role in the planning of tunnels and underground engineering projects. Given the inefficiency of the direct method in measuring this strength, non-destructive testing methods are now being employed to predict the tensile strength (TS) of rocks. Due to the significance of the aforementioned parameter, this paper integrates image processing techniques with the Group Method of Data Handling (GMDH) for the assessment of the tensile strength of sandstones. To this end, 102 disk-shaped sandstone samples were prepared, followed by petrographic analyses and scanning operations for all 102 images. Principal component analysis was conducted for the purpose of feature reduction. Finally, a Group Method of Data Handling (GMDH) model, which utilized input data derived from an image processing technique, was developed to assess the tensile strength of the model. The statistical indices, including a correlation coefficient (R) value of 0.961 for the Brazilian tensile strength (BTS), indicate the workability and feasibility of the proposed model. |
| format | Article |
| id | doaj-art-6b25e4d051bd41ccbf7910a96a6ded12 |
| institution | Kabale University |
| issn | 2198-2783 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | International Journal of Geo-Engineering |
| spelling | doaj-art-6b25e4d051bd41ccbf7910a96a6ded122025-08-24T11:05:55ZengSpringerOpenInternational Journal of Geo-Engineering2198-27832025-08-0116112010.1186/s40703-025-00249-1Prediction of the tensile strength of sandstones using image processing and GMDH techniquesAmin Taheri-Garavand0Yasin Abdi1Yudong Zhang2Mechanical Engineering of Biosystems Department, Lorestan UniversityDepartment of Geology, Faculty of Sciences, Lorestan UniversitySchool of Computing and Mathematics, University of LeicesterAbstract The tensile strength of rock plays a crucial role in the planning of tunnels and underground engineering projects. Given the inefficiency of the direct method in measuring this strength, non-destructive testing methods are now being employed to predict the tensile strength (TS) of rocks. Due to the significance of the aforementioned parameter, this paper integrates image processing techniques with the Group Method of Data Handling (GMDH) for the assessment of the tensile strength of sandstones. To this end, 102 disk-shaped sandstone samples were prepared, followed by petrographic analyses and scanning operations for all 102 images. Principal component analysis was conducted for the purpose of feature reduction. Finally, a Group Method of Data Handling (GMDH) model, which utilized input data derived from an image processing technique, was developed to assess the tensile strength of the model. The statistical indices, including a correlation coefficient (R) value of 0.961 for the Brazilian tensile strength (BTS), indicate the workability and feasibility of the proposed model.https://doi.org/10.1186/s40703-025-00249-1GMDHBrazilian tensile strengthImage ProcessingPCAThin sectionSandstone |
| spellingShingle | Amin Taheri-Garavand Yasin Abdi Yudong Zhang Prediction of the tensile strength of sandstones using image processing and GMDH techniques International Journal of Geo-Engineering GMDH Brazilian tensile strength Image Processing PCA Thin section Sandstone |
| title | Prediction of the tensile strength of sandstones using image processing and GMDH techniques |
| title_full | Prediction of the tensile strength of sandstones using image processing and GMDH techniques |
| title_fullStr | Prediction of the tensile strength of sandstones using image processing and GMDH techniques |
| title_full_unstemmed | Prediction of the tensile strength of sandstones using image processing and GMDH techniques |
| title_short | Prediction of the tensile strength of sandstones using image processing and GMDH techniques |
| title_sort | prediction of the tensile strength of sandstones using image processing and gmdh techniques |
| topic | GMDH Brazilian tensile strength Image Processing PCA Thin section Sandstone |
| url | https://doi.org/10.1186/s40703-025-00249-1 |
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