Predicting ground vibration induced by rock blasting using a novel hybrid of neural network and itemset mining
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ORIGINAL ARTICLE
Predicting ground vibration induced by rock blasting using a novel hybrid of neural network and itemset mining Maryam Amiri1 • Mahdi Hasanipanah2 • Hassan Bakhshandeh Amnieh3 Received: 30 April 2019 / Accepted: 26 February 2020 Springer-Verlag London Ltd., part of Springer Nature 2020
Abstract Blasting operation is considered as one of the cheapest methods to break the rock into small pieces in surface and underground mines. Ground vibration is a side effect of blasting and can result in damage to, or failure of, nearby structures. Therefore, it is imperative to predict ground vibration in the blasting sites. The primary objective of this paper is to propose a new model to predict ground vibration based on itemset mining (IM) and neural networks (NN), called IM– NN. It is worth mentioning that no research has tested the efficiency of IM–NN to predict ground vibration yet. IM–NN is composed of three steps; firstly, frequent and confident patterns (itemsets) were extracted by using IM. Secondly, for each test instance, the most appropriate instances were selected based on the extracted patterns. Thirdly, NN was only trained by the selected instances. To achieve the objective of this research, a dataset including 92 instances was collected from blasting events of two surface mines in Iran, Kerman province. To demonstrate the acceptability of IM–NN, the classical NN as well as several empirical equations were also developed in this study. The results indicated that IM–NN with the correlation squared (R2) of 0.944 has better performance than NN with R2 of 0.898 and may be a promising alternative to the NN for predicting ground vibration. Thus, the use of IM was a good idea to optimize and improve the NN performance. Keywords Blasting Ground vibration Neural network Itemset mining
1 Introduction Explosives are used increasingly by the engineers, due to a surge in the development of excavation operations in mining and civil engineering. The use of blasting techniques in such projects, especially when they are performed adjacent to residential spots, leads to at least two severe problems: (1) complaints about explosion-induced & Mahdi Hasanipanah [email protected] Maryam Amiri [email protected] Hassan Bakhshandeh Amnieh [email protected] 1
Department of Computer Engineering, Faculty of Engineering, Arak University, 38156-8-8349 Arak, Iran
2
Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam
3
School of Mining, College of Engineering, University of Tehran, 11155-4563 Tehran, Iran
vibrations lodged by local people; (2) facing different regulations and legal bindings enacted by governments. These all put obstacles in the way of performing the projects, hence wasting time, which will finally make the projects uneconomical. The whole energy of an explosion is not spent on removing the overburden material and fragmentation of rock mass; instead, a substantial part is wasted away producing side effects
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