One of the most important issues in mechanized excavating is to predict the TBM penetration rate. Understanding the factors influencing the rate of penetration is important, which allows for a more accurate estimation of the stopping and excavating times and operating costs. In this study, Input and output parameters including Uniaxial Compressive Strength (UCS), Brazilian Tensile Strength (BTS), Peak Slope Index (PSI), Distance between Planes of Weakness (DPW), Alpha angle and Rate of Penetration (ROP) (m/hr) in the Queens Water Tunnel using support vector machine .Results showed that prediction of penetration rate for Support Vector Machine (SVM) method is R. = 0.9678 and RMSE = 0.064778, According to the results, Support Vector Machine (SVM) is effective and has high accuracy.
کلید واژگان :TBM, Penetration rate, Support Vector Machine (SVM)
ارزش ریالی : 300000 ریال
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جزئیات مقاله
- کد شناسه : 2164468985716369
- سال انتشار : 2020
- نوع مقاله : پذیرفته شده در سایر مجلات علمی معتبر و علمی مروری و ISC
- زبان : انگلیسی
- محل پذیرش : GEOSABERES: Revista de Estudos Geoeducacionais
- برگزار کنندگان :
- ISSN : 21780463
- تاریخ ثبت : 1400/11/23 21:47:37
- ثبت کننده : علیرضا افرادی
- تعداد بازدید : 168
- تعداد فروش : 0