Ana gezinime geç Aramaya geç Ana içeriğe geç

Prediction of thrust and torque requirements of TBMs with fuzzy logic models

  • O. Acaroglu*
  • *Bu çalışma için yazışmadan sorumlu yazar

Araştırma çıktısı: Dergi yayını › Makale › Hakemli

61 Atıf (Scopus)

Özet

For successful tunnel excavations, selection of proper tunnel boring machine (TBM), optimization of design parameters and prediction of their performance are critical. Normal and rolling forces of disc cutters are used for determination of thrust, torque and power requirement of TBMs as well as prediction of their performance. Much research has been conducted to predict these parameters of disc cutters using analytical, empirical and numerical approaches. In recent years alternative methods, such as fuzzy logic, have been extensively used to deal with subjects having ambiguities and uncertainties. A model was established to predict normal forces of constant cross section (CCS) disc cutters in the rock cutting process by using fuzzy logic method. The other model which predicts specific energy requirement of disc cutter can also be used for predicting the rolling forces of these cutters. These models are based on experience and verified the database which consists of linear cutting test results generated at the Earth Mechanics Institute of the Colorado School of Mines. The models predict forces of disc cutters using uniaxial compressive and tensile strength of rocks, disc diameter and tip width, penetration and spacing of cuts.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)267-275
Sayfa sayısı9
DergiTunnelling and Underground Space Technology
Hacim26
Basın numarası2
DOI'lar
Yayın durumuYayınlandı - Mar 2011

Finansman

This research was realized by the support of The Scientific and Technological Research Council of Turkey (TUBITAK). The author is grateful for the support from Earth Mechanics Institute (EMI) of the Colorado School of Mines.

Finansörler
Earth Mechanics Institute
TUBITAK
Colorado School of Mines
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu

    Parmak izi

    Prediction of thrust and torque requirements of TBMs with fuzzy logic models' araştırma başlıklarına git. Birlikte benzersiz bir parmak izi oluştururlar.

    Alıntı Yap