Prediction of flyrock distance induced by blasting using particle swarm optimization and multiple regression analysis: an engineering perspective

• Autorzy: Chen Yong , Wang Minghua , Yin Heng , Zhang Tianbao

Identyfikatory

DOI

10.1007/s11600-023-01247-6

• Języki publikacji: EN

Abstrakty

EN

Flyrock is one of the major safety hazards induced by blasting operations. However, few studies were for predicting blasting-induced flyrock distance from the perspective of engineers. The present paper attempts to provide an engineer-friendly equation predicting blasting-induced flyrock distance. Data used in the present study contains s seven blasting parameters including borehole diameter, blasthole length, powder factor, stemming length, maximum charge per delay, burden, and flyrock distance is obtained. Data is inputted into Random Forest for feature selection. The selected features are formulated as two candidate equations, including Multiple Linear Regression (MLR) equation and Multiple Nonlinear Regression (MNR) equation. Those two candidates are respectively referred by Particle Swarm Optimization for searching optimum values for the coefficients of selected features. It is proved that MLR equation has better accuracy. MLR equation is compared with two empirical equations and the MLR equation based on least squares method. It is found that the coefficient of correlation of the proposed MLR equation reaches 0.918, which is the highest compared with the scores of other three equations. The present study utilizes feature selection process to screen inputs, which effectively excludes irrelevant parameters from being considered. Plus the contribution of Particle Swarm Optimization, the accuracy of the obtained equation can be guaranteed.

Słowa kluczowe

EN

random forest; particle swarm optimization; multiple regression analysis; fly-rock distance

PL

las losowy; optymalizacja roju cząstek; analiza regresji wielokrotnej; odrzucające skały

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2024
• Tom: Vol. 72, no. 1
• Strony: 287--301
• Opis fizyczny: Bibliogr. 61 poz.

Twórcy

autor

Chen Yong

• China Construction Third Engineering Bureau Infrastructure Construction Investment Co., LTD, Gaoxin Rd No. 66 of Hongshan District, Wuhan 430070, People’s Republic of China

• https://orcid.org/0000-0003-4722-2199

autor

Wang Minghua

• China Shandong International Economic and Technical Cooperation Corporation, Jinan, People’s Republic of China

autor

Yin Heng

• China Construction Third Engineering Bureau Infrastructure Construction Investment Co., LTD, Gaoxin Rd No. 66 of Hongshan District, Wuhan 430070, People’s Republic of China

autor

Zhang Tianbao

• China Construction Third Engineering Bureau Infrastructure Construction Investment Co., LTD, Gaoxin Rd No. 66 of Hongshan District, Wuhan 430070, People’s Republic of China

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