کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6782318 | 1432267 | 2018 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Prediction of rock mass rating using TSP method and statistical analysis in Semnan Rooziyeh spring conveyance tunnel
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
مهندسی ژئوتکنیک و زمین شناسی مهندسی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
In this study, the rock mass rating (RMR) value is assessed for a case-defined water transfer project, namely Rooziyeh spring. The progress paths of the tunnel and project quality are investigated using combined TSP and statistical modeling methods. The accuracy and validity of results are verified with respect to experimental RMR values obtained in the site plan. The developed models are investigated using the t- and F-statistical tests (with the confidence level of 99%), the determination coefficient and the estimation error. The investigation results showed that the developed models can reliably predict the RMR values based on the TSP test results of the Rooziyeh spring tunnel path. In addition, in order to validate the developed statistical models and to generate the prediction method to the other tunnel cases, the datasets of Koohrang water conveyance tunnel are provided as inputs. Therefore, the RMR and TSP results are studied in 11 zones of this tunnel with RMR values of 40-73. The average prediction error for linear and nonlinear models is 43% and 22%, respectively. Based on results, the nonlinear statistical models provide the highest accuracy than other linear models and thus are approved as accurate statistical models.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Tunnelling and Underground Space Technology - Volume 79, September 2018, Pages 224-230
Journal: Tunnelling and Underground Space Technology - Volume 79, September 2018, Pages 224-230
نویسندگان
Akbar Esmailzadeh, Reza Mikaeil, Erfan Shafei, Golsa Sadegheslam,