Prediction of QU AND Ru capacitiesof pile in clayey soil layer using geospatial analysis
The basicpurpose of foundation design is to predict ultimate soil bearing (Qu) and to determine actual load-carrying capacities (Ru) at the final set installation. One specific case study was when the project owner was only allowed to use limited CPT data ofthe high-cost reason...
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| Format: | Article |
| Language: | English |
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Geotec., Const. Mat. &Env.
2022
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| Online Access: | http://eprints.uthm.edu.my/8103/ http://eprints.uthm.edu.my/8103/1/J14983_272620a96e0bb29b6693b6f0b8e7872a.pdf |
| _version_ | 1848889299821395968 |
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| author | Maha Agung, Putera Agung Hasan, Muhammad Fathurrouf Ahmad, Mustaffa Anjang Martina, Nunung Saifullizan, M. B. |
| author_facet | Maha Agung, Putera Agung Hasan, Muhammad Fathurrouf Ahmad, Mustaffa Anjang Martina, Nunung Saifullizan, M. B. |
| author_sort | Maha Agung, Putera Agung |
| building | UTHM Institutional Repository |
| collection | Online Access |
| description | The basicpurpose of foundation design is to predict ultimate soil bearing (Qu) and to determine actual load-carrying capacities (Ru) at the final set installation. One specific case study was when the project owner was only allowed to use limited CPT data ofthe high-cost reason for complete soil investigation. Besides that, the location was not only relatively densely populated, but also the soil investigation work could cause some noiseduring the implementation of field-testing methods using SPT and Borlogs. CPT has been selected and easy in predicting the Quvalue of a single pile. Two points at one of the configurations of single piles were evaluated randomly by the PDA test in determining the actual load capacity or Ru. In general conclusion, the Quwas less than Ruvalues for all existing points of the single pile at the study area. To find out other values of Quand Ruin all pileswere analyzed by a geospatial analysis. By using isotropic Moran’s method, there was a positive autocorrelation in adjacent pile location since I = 0.1767 > I0 = -0.25. Graphically,the semivariogram also validated Gaussian interpolation models as the best correlation in searching pair; distance; and semivariance values among the single pile. Finally, the ordinary Kriging method was used to plot all pointsgraphically in 3 D based on Moran’s and semivariogram of Quand Rudata. Thus, thismethod yields good results of Quand Rufor other single piles with an error of around 13.2% at the final set installation between 8.9 to 9.5 m. |
| first_indexed | 2025-11-15T20:23:59Z |
| format | Article |
| id | uthm-8103 |
| institution | Universiti Tun Hussein Onn Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T20:23:59Z |
| publishDate | 2022 |
| publisher | Geotec., Const. Mat. &Env. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uthm-81032022-12-06T02:59:45Z http://eprints.uthm.edu.my/8103/ Prediction of QU AND Ru capacitiesof pile in clayey soil layer using geospatial analysis Maha Agung, Putera Agung Hasan, Muhammad Fathurrouf Ahmad, Mustaffa Anjang Martina, Nunung Saifullizan, M. B. T Technology (General) The basicpurpose of foundation design is to predict ultimate soil bearing (Qu) and to determine actual load-carrying capacities (Ru) at the final set installation. One specific case study was when the project owner was only allowed to use limited CPT data ofthe high-cost reason for complete soil investigation. Besides that, the location was not only relatively densely populated, but also the soil investigation work could cause some noiseduring the implementation of field-testing methods using SPT and Borlogs. CPT has been selected and easy in predicting the Quvalue of a single pile. Two points at one of the configurations of single piles were evaluated randomly by the PDA test in determining the actual load capacity or Ru. In general conclusion, the Quwas less than Ruvalues for all existing points of the single pile at the study area. To find out other values of Quand Ruin all pileswere analyzed by a geospatial analysis. By using isotropic Moran’s method, there was a positive autocorrelation in adjacent pile location since I = 0.1767 > I0 = -0.25. Graphically,the semivariogram also validated Gaussian interpolation models as the best correlation in searching pair; distance; and semivariance values among the single pile. Finally, the ordinary Kriging method was used to plot all pointsgraphically in 3 D based on Moran’s and semivariogram of Quand Rudata. Thus, thismethod yields good results of Quand Rufor other single piles with an error of around 13.2% at the final set installation between 8.9 to 9.5 m. Geotec., Const. Mat. &Env. 2022 Article PeerReviewed text en http://eprints.uthm.edu.my/8103/1/J14983_272620a96e0bb29b6693b6f0b8e7872a.pdf Maha Agung, Putera Agung and Hasan, Muhammad Fathurrouf and Ahmad, Mustaffa Anjang and Martina, Nunung and Saifullizan, M. B. (2022) Prediction of QU AND Ru capacitiesof pile in clayey soil layer using geospatial analysis. International Journal of GEOMATE, 23 (98). pp. 31-38. ISSN 2186-2990 https://doi.org/10.21660/2022.98.3062 |
| spellingShingle | T Technology (General) Maha Agung, Putera Agung Hasan, Muhammad Fathurrouf Ahmad, Mustaffa Anjang Martina, Nunung Saifullizan, M. B. Prediction of QU AND Ru capacitiesof pile in clayey soil layer using geospatial analysis |
| title | Prediction of QU AND Ru capacitiesof pile in clayey soil layer using geospatial analysis |
| title_full | Prediction of QU AND Ru capacitiesof pile in clayey soil layer using geospatial analysis |
| title_fullStr | Prediction of QU AND Ru capacitiesof pile in clayey soil layer using geospatial analysis |
| title_full_unstemmed | Prediction of QU AND Ru capacitiesof pile in clayey soil layer using geospatial analysis |
| title_short | Prediction of QU AND Ru capacitiesof pile in clayey soil layer using geospatial analysis |
| title_sort | prediction of qu and ru capacitiesof pile in clayey soil layer using geospatial analysis |
| topic | T Technology (General) |
| url | http://eprints.uthm.edu.my/8103/ http://eprints.uthm.edu.my/8103/ http://eprints.uthm.edu.my/8103/1/J14983_272620a96e0bb29b6693b6f0b8e7872a.pdf |