Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Ground vibration is one of the most undesirable effects of blasting operation in surface mines. Therefore, it seems that the prediction of ground vibrations with a high degree of accuracy is necessary to reduce environmental effects. This article proposes a novel swarm intelligence algorithm based on cuckoo search (NSICS) to create a precise equation for predicting the ground vibration produced by blasting operations in Miduk copper mine, Iran. To evaluate the proposed NSICS model, several empirical equations re also utilized. In this regard, 85 blasting events re considered, and the values of two effective parameters on the ground vibration, namely, maximum charge used per delay and distance beten blast face and monitoring station, re measured. In addition, the values of peck particle velocity (PPV), as a vibration descriptor, re recorded in each blasting. Two performance indices, i.e., root mean square error and coefficient of multiple correlation (R2), re used to determine the performance capacity of the proposed models. Comparing the values predicted by the models demonstrated that the proposed equation by NSICS is more reliable than empirical equations in predicting the PPV.
['Nazanin Fouladgar', 'Mahdi Hasanipanah', 'Hassan Bakhshandeh Amnieh']
I am writing a research paper on a idea Application of cuckoo search algorithm to estimate peak particle velocity in mine blasting
[{"from": "human", "value": "I am writing a research paper on a idea Application of cuckoo search algorithm to estimate peak particle velocity in mine blasting"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Ground vibration is one of the most undesirable effects of blasting operation in surface mines. Therefore, it seems that the prediction of ground vibrations with a high degree of accuracy is necessary to reduce environmental effects. This article proposes a novel swarm intelligence algorithm based on cuckoo search (NSICS) to create a precise equation for predicting the ground vibration produced by blasting operations in Miduk copper mine, Iran. To evaluate the proposed NSICS model, several empirical equations re also utilized. In this regard, 85 blasting events re considered, and the values of two effective parameters on the ground vibration, namely, maximum charge used per delay and distance beten blast face and monitoring station, re measured. In addition, the values of peck particle velocity (PPV), as a vibration descriptor, re recorded in each blasting. Two performance indices, i.e., root mean square error and coefficient of multiple correlation (R2), re used to determine the performance capacity of the proposed models. Comparing the values predicted by the models demonstrated that the proposed equation by NSICS is more reliable than empirical equations in predicting the PPV."}]