Development of ground vibration attenuation model by imperialist competitive algorithm

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MOKHTARIAN ASL MOJTABA; ALIPOUR AREF

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Journal: JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS Year:2018 | Volume:4 | Issue:1 Page(s): 95-104

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Title

Development of ground vibration attenuation model by imperialist competitive algorithm

Author(s)

MOKHTARIAN ASL MOJTABA | ALIPOUR AREF | Issue Writer Certificate

Keywords

Blasting

Ground Vibration

Peak Particle Velocity

Imperialist Competitive

Algorithm

Sungun Copper Mine

Abstract

Summary: The effect of blast-induced Ground Vibrations on mines and on adjacent structures and facilities is an example of the adverse consequences of the mining cycle. In order to control the vibrations, and also, managing the adverse effects, the measurement and modeling of the concerned wave attenuation are necessary. Normally, by implementing several trial blasts and analyzing corresponding Ground Vibrations, we can determine the related attenuation model for different sites and mines. Usually, the modeling of the Peak Particle Velocity (PPV) damping is performed based on the distance between blast-face and monitoring station and maximum charge used per delay. In this research, using different empirical models, the PPV equation is determined for Blasting in the Sungun Copper Mine. Moreover, Imperialist Competitive Algorithm (ICA) has been employed to develop prediction model for Ground Vibrations. A comparison of the results obtained from different models are made based on several statistical tests between monitored and predicted values of PPV. According to these statistical tests, fairly good performance of the ICA-based model in the forecasting of PPV is proved. Introduction Drilling and Blasting are typical methods of rock excavation. The Ground Vibrations are an adverse effect of Blasting that cannot be completely eliminated; but certainly can be minimized up to permissible level to avoid possible damages to surrounding structures. Ground Vibration is directly related to the maximum charge per delay and distance between blast face and monitoring station. To predict Ground Vibration, several empirical models have been developed by various investigators. In the most of these models, the PPV is the parameter of concern. Methodology and Approaches In this paper, the ICA was proposed to get an appropriate equation for forecasting the PPV in the Sungun Copper Mine. For comparison purposes, three well-known empirical models were also used. To evaluate the performance of PPV models, the correlation between the predicted and real measured values of PPV was determined. Standard statistical evaluation criteria were used to evaluate the performances of different PPV predictor models. Results and Conclusions Considering the calculated statistical error between the forecasted and real measured values of PPV, the ICA-based model has the lowest values of MAE, VARE and RMSE, while it has the highest value of VAF, in comparison with the empirical models.

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APA: Copy

MOKHTARIAN ASL, MOJTABA, & ALIPOUR, AREF. (2018). Development of ground vibration attenuation model by imperialist competitive algorithm. JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS, 4(1 ), 95-104. SID. https://sid.ir/paper/268557/en

Vancouver: Copy

MOKHTARIAN ASL MOJTABA, ALIPOUR AREF. Development of ground vibration attenuation model by imperialist competitive algorithm. JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS[Internet]. 2018;4(1 ):95-104. Available from: https://sid.ir/paper/268557/en

IEEE: Copy

MOJTABA MOKHTARIAN ASL, and AREF ALIPOUR, “Development of ground vibration attenuation model by imperialist competitive algorithm,” JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS, vol. 4, no. 1 , pp. 95–104, 2018, [Online]. Available: https://sid.ir/paper/268557/en

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