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http://dx.doi.org/10.9711/KTAJ.2017.19.6.857

Development and implementation of statistical prediction procedure for field penetration index using ridge regression with best subset selection  

Lee, Hang-Lo (Dept. of Civil Engineering, Inha University)
Song, Ki-Il (Dept. of Civil Engineering, Inha University)
Kim, Kyoung Yul (Power Transmission Laboratory, KEPCO Research Institute)
Publication Information
Journal of Korean Tunnelling and Underground Space Association / v.19, no.6, 2017 , pp. 857-870 More about this Journal
Abstract
The use of shield TBM is gradually increasing due to the urbanization of social infrastructures. Reliable estimation of advance rate is very important for accurate construction period and cost. For this purpose, it is required to develop the prediction model of advance rate that can consider the ground properties reasonably. Based on the database collected from field, statistical prediction procedure for field penetration index (FPI) was modularized in this study to calculate penetration rate of shield TBM. As output parameter, FPI was selected and various systems were included in this module such as, procedure of eliminating abnormal dataset, preprocessing of dataset and ridge regression with best subset selection. And it was finally validated by using field dataset.
Keywords
Field penetration index; Statistical prediction procedure; Prediction model; Best subset selection; Ridge regression;
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Times Cited By KSCI : 1  (Citation Analysis)
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