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Design of Pre Blasting (Pre-Splitting) in Tan Cang Quarry NO.1 in Vietnam

Nguyen Dinh An, Pham Thai Hop, Le Cong Dien, Tran Quang Hieu, Tran Dinh Bao

Inżynieria Mineralna

2020

no. 2, vol. 1

155--162

Nowadays, construction material quarries in Dong Nai Province are exploiting with large quarrying depth, and the annual output could reach to tens of million cubic meters. The blasting frequency could be reached to hundreds of times, so the frequency is the major reason decreasing the cohesion of rock mass. Therefore, the surrounding area of blasting holes is broken, especially the area next to the final border where bench slope angle is not implemented as that of design stage, as well as the back break, also causes fractures on the bench slope, resulting in instability and unsafety due to falling rock. In this paper, the author also wants to introduce the pre blasting and the method to define blasting parameters to increase the stabilization of Slopes in Tan Cang quarry NO.1 in Vietnam.

Obecnie kamieniołom litych surowców skalnych w prowincji Dong Nai prowadzi eksploatację na dużej głębokości. Roczne wydobycie materiałów budowlanych dochodzi do kilkudziesięciu milionów metrów sześciennych. Duża ilość wybuchów powtarzających się rocznie jest główną przyczyną osłabienia więzi skalnej w masie wraz z rozprzestrzenianiem się fal sejsmicznych z wybuchów powodują więc drgania i niszczenie warstwy, osuwisko kopalniane i różne deformacje nieciągłe. W artykule, przedstawiono metody wyznaczenia granicznych parametrów robót strzałowych oraz diagram wybuchów w celu zwiększenia stabilności zbocza w kamieniołomie nr 1 -Tan Cang 1 w Wietnamie.

A Lasso and Elastic-Net Regularized Generalized Linear Model for Predicting Blast-Induced Air Over-pressure in Open-Pit Mines

Bui Xuan‑Nam, Nguyen Hoang, Tran Quang Hieu, Bui Hoang‑Bac, Nguyen Quoc Long, Nguyen Dinh An, Le Thi Thu Hoa, Pham Van Viet

Inżynieria Mineralna

2019

R. 21, nr 2/2

8--20

Air overpressure (AOp) is one of the products of blasting operations in open-pit mines which have a great impact on the environment and public health. It can be dangerous for the lungs, brain, hearing and the other human senses. In addition, the impact on the surrounding environment such as the vibration of buildings, break the glass door systems are also dangerous agents caused by AOp. Therefore, it should be properly controlled and forecasted to minimize the impacts on the environment and public health. In this paper, a Lasso and Elastic-Net Regularized Generalized Linear Model (GLMNET) was developed for predicting blast-induced AOp. The United States Bureau of Mines (USBM) empirical technique was also applied to estimate blast-induced AOp and compare with the developed GLMNET model. Nui Beo open-pit coal mine, Vietnam was selected as a case study. The performance indices are used to evaluate the performance of the models, including Root Mean Square Error (RMSE), Determination Coefficient (R2), and Mean Absolute Error (MAE). For this aim, 108 blasting events were investigated with the Maximum of explosive charge capacity, monitoring distance, powder factor, burden, and the length of stemming were considered as input variables for predicting AOp. As a result, a robust GLMNET model was found for predicting blast-induced AOp with an RMSE of 1.663, R2 of 0.975, and MAE of 1.413 on testing datasets. Whereas, the USBM empirical method only reached an RMSE of 2.982, R2 of 0.838, and MAE of 2.162 on testing datasets.