Groutability classification of granular soils with cement grouts
This research aims to develop a methodology for applying the geostatistical method to generate a groutability classification for granular soils. To ensure the precision of the suggested technique, a total of 103 data samples were used. Predicting the groutability of granular soils has always been di...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-06-01
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| Series: | Journal of Rock Mechanics and Geotechnical Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1674775522001949 |
| _version_ | 1797819877174542336 |
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| author | Hadi Farhadian Zeynab Maleki |
| author_facet | Hadi Farhadian Zeynab Maleki |
| author_sort | Hadi Farhadian |
| collection | DOAJ |
| description | This research aims to develop a methodology for applying the geostatistical method to generate a groutability classification for granular soils. To ensure the precision of the suggested technique, a total of 103 data samples were used. Predicting the groutability of granular soils has always been difficult because of many soil characteristics. As a result, a new two-dimensional graph, the groutability classification of granular soil (GCS) chart, was developed. GCS establishment was based on data analysis of the grain size of soil and cement-based grouts (N1 and N2), relative density (Dr) and fines content of the soil (FC), water/cement ratio of grout mixture (w/c), and grouting pressure (P), all of which have a direct impact on the groutability of soil media. The geostatistical method was used to develop and compile the GCS graph based on the aforementioned parameters with the use of coefficient S, which is a coefficient of the scoring set of parameters including P, w/c, Dr, and FC. The validation process was carried out hierarchically, with an additional set of 30 data. The proposed method has a prediction accuracy of roughly 96.7%, demonstrating a helpful tool. The proposed approach can be easily implemented in practical engineering situations because it has a comparable syntax to commonly used formulae. It should be noted that the proposed formula was only tested using the data samples collected, and the applicability of the produced procedure to other situations requires more examination. |
| first_indexed | 2024-03-13T09:29:06Z |
| format | Article |
| id | doaj.art-4cf2f5516f61413b82c3773258188e13 |
| institution | Directory Open Access Journal |
| issn | 1674-7755 |
| language | English |
| last_indexed | 2024-03-13T09:29:06Z |
| publishDate | 2023-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Rock Mechanics and Geotechnical Engineering |
| spelling | doaj.art-4cf2f5516f61413b82c3773258188e132023-05-26T04:21:05ZengElsevierJournal of Rock Mechanics and Geotechnical Engineering1674-77552023-06-0115615801590Groutability classification of granular soils with cement groutsHadi Farhadian0Zeynab Maleki1Department of Mining Engineering, Faculty of Engineering, University of Birjand, Birjand, Iran; Corresponding author.School of Earth Sciences, Damghan University, Damghan, IranThis research aims to develop a methodology for applying the geostatistical method to generate a groutability classification for granular soils. To ensure the precision of the suggested technique, a total of 103 data samples were used. Predicting the groutability of granular soils has always been difficult because of many soil characteristics. As a result, a new two-dimensional graph, the groutability classification of granular soil (GCS) chart, was developed. GCS establishment was based on data analysis of the grain size of soil and cement-based grouts (N1 and N2), relative density (Dr) and fines content of the soil (FC), water/cement ratio of grout mixture (w/c), and grouting pressure (P), all of which have a direct impact on the groutability of soil media. The geostatistical method was used to develop and compile the GCS graph based on the aforementioned parameters with the use of coefficient S, which is a coefficient of the scoring set of parameters including P, w/c, Dr, and FC. The validation process was carried out hierarchically, with an additional set of 30 data. The proposed method has a prediction accuracy of roughly 96.7%, demonstrating a helpful tool. The proposed approach can be easily implemented in practical engineering situations because it has a comparable syntax to commonly used formulae. It should be noted that the proposed formula was only tested using the data samples collected, and the applicability of the produced procedure to other situations requires more examination.http://www.sciencedirect.com/science/article/pii/S1674775522001949PredictionGroutabilityClassificationGroutability classification of granular soil (GCS) |
| spellingShingle | Hadi Farhadian Zeynab Maleki Groutability classification of granular soils with cement grouts Journal of Rock Mechanics and Geotechnical Engineering Prediction Groutability Classification Groutability classification of granular soil (GCS) |
| title | Groutability classification of granular soils with cement grouts |
| title_full | Groutability classification of granular soils with cement grouts |
| title_fullStr | Groutability classification of granular soils with cement grouts |
| title_full_unstemmed | Groutability classification of granular soils with cement grouts |
| title_short | Groutability classification of granular soils with cement grouts |
| title_sort | groutability classification of granular soils with cement grouts |
| topic | Prediction Groutability Classification Groutability classification of granular soil (GCS) |
| url | http://www.sciencedirect.com/science/article/pii/S1674775522001949 |
| work_keys_str_mv | AT hadifarhadian groutabilityclassificationofgranularsoilswithcementgrouts AT zeynabmaleki groutabilityclassificationofgranularsoilswithcementgrouts |