دورية أكاديمية
Prediction of the uniaxial compressive strength of sandstone using various modeling techniques
| العنوان: | Prediction of the uniaxial compressive strength of sandstone using various modeling techniques |
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| المؤلفون: | Jahed Armaghani, D., Mohd Amin, M.F., Faradonbeh, R.S., Abdullah, R.A., Yağız, Saffet |
| بيانات النشر: | Elsevier Ltd |
| سنة النشر: | 2016 |
| المجموعة: | Pamukkale University Repository / Pamukkale Üniversitesi Açık Erişim Arşivi |
| مصطلحات موضوعية: | Imperialist competitive algorithm, Artificial neural network, Non-destructive tests, Point load index, Uniaxial compressive strength, Mean square error, Neural networks, Nondestructive examination, Optimization, Sandstone, Seismic waves, Wave propagation, Coefficient of determination, Imperialist competitive algorithms, Modeling technique, Non-destructive test, Performance indices, Point load, Root mean squared errors, Compressive strength, algorithm, nondestructive testing, numerical model, prediction, rock mechanics, uniaxial strength, Dengkil, Malaysia, Selangor, West Malaysia |
| الوصف: | Sandstone blocks were collected from Dengkil site in Malaysia and brought to laboratory, and then intact samples prepared for testing. Rock tests, including Schmidt hammer rebound number, P-wave velocity, point load index, and UCS were conducted. The established dataset is composed of 108 cases. Consequently, the established dataset was utilized for developing the simple regression, linear, non-linear multiple regressions, artificial neural network, and a hybrid model, developed by integrating imperialist competitive algorithm with ANN. After performing the relevant models, several performance indices i.e. root mean squared error, coefficient of determination, variance account for, and total ranking, are examined for selecting the best model and comparing the obtained results. It is obtained that the ICA-ANN model is superior to the others. It is concluded that the hybrid of ICA-ANN could be used for predicting UCS of similar rock type in practice. © 2016 Elsevier Ltd. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| ردمك: | 978-0-00-375209-0 0-00-375209-7 |
| تدمد: | 1365-1609 |
| العلاقة: | International Journal of Rock Mechanics and Mining Sciences; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://hdl.handle.net/11499/9606Test; https://doi.org/10.1016/j.ijrmms.2016.03.018Test; 85; 174; 186; 2-s2.0-84962409054; WOS:000375209700017 |
| DOI: | 10.1016/j.ijrmms.2016.03.018 |
| الإتاحة: | https://doi.org/10.1016/j.ijrmms.2016.03.018Test https://hdl.handle.net/11499/9606Test |
| حقوق: | none |
| رقم الانضمام: | edsbas.436F2EBB |
| قاعدة البيانات: | BASE |
| ردمك: | 9780003752090 0003752097 |
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| تدمد: | 13651609 |
| DOI: | 10.1016/j.ijrmms.2016.03.018 |