پيش بيني نرخ نفوذ ماشين هاي تونل بري با استفاده از شبكه عصبي

Predicting Penetration Rate of TBM with Neuro Network

In this article at first some models of penetration rate prediction were reviewed then a Neuro Network was created for prediction of penetration rate. The Neuro Network inputs are UCS, RQD, normal force on disc cutter, diameter of disc cutter and quartz content. With elimination of quartz content and RQD from input parameters, the response of Neuro Network was investigated. Neuro Network response Compared with Garaham Model, and ability of Neuro Network in penetration rate prediction and prediction penetration rate of Gavoshan Tunnelʹs TBM were discussed in the latest part of article.