Skoči na glavni sadržaj

Tehnički vjesnik, Vol. 33 No. 2, 2026.

Izvorni znanstveni članak

https://doi.org/10.17559/TV-20241021002080

Estimation of the Specific Charge in the Tunnel Excavation by Using the Drilling and Blasting Method

Tung Manh Bui ; Department of Underground Mining, Hanoi University of Mining and Geology, 18 Vien Stress, Duc Thang, Bac Tu Liem, Hanoi, Vietnam
Hoang Hiep Do ; Department of Underground Mining, Hanoi University of Mining and Geology, 18 Vien Stress, Duc Thang, Bac Tu Liem, Hanoi, Vietnam
Nghia Viet Nguyen ; Department of Mine Surveying, Hanoi University of Mining and Geology, 18 Vien Stress, Duc Thang, Bac Tu Liem, Hanoi, Vietnam
Nhan Thi Pham ; Faculty of Civil Engineering, Hanoi University of Mining and Geology, 18 Vien Stress, Duc Thang, Bac Tu Liem, Hanoi, Vietnam
Chi Thanh Nguyen orcid id orcid.org/0000-0003-4455-0234 ; Department of Underground and Mining Construction, Hanoi University of Mining and Geology, 18 Vien Stress, Duc Thang, Bac Tu Liem, Hanoi, Vietnam; Tunnelling and Underground Space Technology (TUST), Hanoi, Vietnam *

* Dopisni autor.

Puni tekst: engleski pdf 1.007 Kb

str. 443-450

preuzimanja: 89

citiraj

Sažetak

The specific charge (q, kg/m3) is one of the decisive technical parameters to the efficiency of tunnel construction using the drilling and blasting method. To accurately determine and calculate the specific charge (q, kg/m3), thereby improving the efficiency of tunnel construction, currently, there are many methods to determine the specific charge (q, kg/m3), such as: Pokrovsky's method, experimental method, and method of using numerical simulation software. In this paper, the authors used artificial neural network (ANN) and Random forest (RF) techniques to build artificial intelligence models capable of identifying and predicting the specific charge (q, kg/m3) with high accuracy. By using data compiled during the construction of the Deo Ca tunnel, Phu Yen, Vietnam, artificial intelligence models with ANN and RF techniques were built. Based on the prediction results of artificial intelligence models with specific data compiled from the actual construction process of Deo Ca tunnel, the accuracy of the results of the artificial intelligence models was confirmed.

Ključne riječi

ANN; blasting; estimation; random forest; the specific charge; tunnel

Hrčak ID:

344969

URI

https://hrcak.srce.hr/344969

Datum izdavanja:

28.2.2026.

Posjeta: 212 *