Developing an XGBoost model to predict blast‑induced peak particle velocity in an open‑pit mine: a case study

• Autorzy: Nguyen Hoang , Bui Xuan‑Nam , Bui Hoang‑Bac , Cuong Dao Trong

Identyfikatory

DOI

10.1007/s11600-019-00268-4

• Języki publikacji: EN

Abstrakty

EN

Ground vibration is one of the most undesirable effects induced by blasting operations in open-pit mines, and it can cause damage to surrounding structures. Therefore, predicting ground vibration is important to reduce the environmental effects of mine blasting. In this study, an eXtreme gradient boosting (XGBoost) model was developed to predict peak particle velocity (PPV) induced by blasting in Deo Nai open-pit coal mine in Vietnam. Three models, namely, support vector machine (SVM), random forest (RF), and k-nearest neighbor (KNN), were also applied for comparison with XGBoost. To employ these models, 146 datasets from 146 blasting events in Deo Nai mine were used. Performance of the predictive models was evaluated using root-mean-squared error (RMSE) and coefficient of determination (R2). The results indicated that the developed XGBoost model with RMSE = 1.554, R2 = 0.955 on training datasets, and RMSE = 1.742, R2 = 0.952 on testing datasets exhibited higher performance than the SVM, RF, and KNN models. Thus, XGBoost is a robust algorithm for building a PPV predictive model. The proposed algorithm can be applied to other open-pit coal mines with conditions similar to those in Deo Nai.

Słowa kluczowe

EN

XGBoost; ground vibration; peak particle velocity; eXtreme gradient boosting

PL

XGBoost; drgania gruntu; maksymalna prędkość drgań cząstek

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2019
• Tom: Vol. 67, no. 2
• Strony: 477--490
• Opis fizyczny: Bibliogr. 56 poz.

Twórcy

autor

Nguyen Hoang

• Department of Surface Mining, Mining Faculty, Hanoi University of Mining and Geology, 18 Vien St., Duc Thang Ward, Bac Tu Liem Dist., Hanoi, Vietnam
• Center for Mining, Electro‑Mechanical Research, Hanoi University of Mining and Geology, 18 Vien St., Duc Thang Ward, Bac Tu Liem Dist., Hanoi, Vietnam

autor

Bui Xuan‑Nam

• Department of Surface Mining, Mining Faculty, Hanoi University of Mining and Geology, 18 Vien St., Duc Thang Ward, Bac Tu Liem Dist., Hanoi, Vietnam
• Center for Mining, Electro‑Mechanical Research, Hanoi University of Mining and Geology, 18 Vien St., Duc Thang Ward, Bac Tu Liem Dist., Hanoi, Vietnam

autor

Bui Hoang‑Bac

• Faculty of Geosciences and Geoengineering, Hanoi University of Mining and Geology, 18 Vien St., Duc Thang Ward, Bac Tu Liem Dist., Hanoi, Vietnam
• Center for Excellence in Analysis and Experiment, Hanoi University of Mining and Geology, 18 Vien St., Duc Thang Ward, Bac Tu Liem Dist., Hanoi, Vietnam

autor

Cuong Dao Trong

• Ministry of Industry and Trade, Hanoi, Vietnam

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020). Korekta do artykułu w Acta Geophysica 2021 Vol. 69, no. 2. Nr DOI korekty: 10.1007/s11600-021-00575-9