Multiple linear regression analysis model and artificial neural network model to calculate and estimate the blast induced area of the tunnel face. A case study Deo Ca tunnel

The area of the tunnel face after blasting is a very important factor in underground excavations where drilling and method used. face, this significant that has affected cost safety constructions case using excavations. Because depends on many different parameters, such as geological conditions located, parameters explosion, other tunnel, it difficult to accurately determine value blasting. This paper uses data obtained actual Deo Ca (39 datasets) build computational prediction models for by two methods, multiple linear regression analysis artificial neural network (ANN). Determination coefficient R2 (MLRA) ANN were at 0.9224, 0.9449, respectively. applicability calculating predicting validated based comparison with results practice.