ANFIS modelling for blast fragmentation and blast-induced vibrations considering stiffness ratio
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ORIGINAL PAPER
ANFIS modelling for blast fragmentation and blast-induced vibrations considering stiffness ratio Ozge Akyildiz 1
&
Turker Hudaverdi 1
Received: 24 March 2020 / Accepted: 27 October 2020 # Saudi Society for Geosciences 2020
Abstract Two independent ANFIS models were created to predict blast fragmentation and blast-induced ground vibrations. The site investigation was performed in a sandstone quarry in Istanbul Region. The first model predicts peak particle velocity. The input parameters of the ANFIS vibration model are the stiffness ratio and scaled distance. The ANFIS model was compared to classical scaled distance-based predictor equations and a multiple regression equation. Twelve predictor equations were considered to reveal actual capability of the ANFIS vibration model. The second ANFIS model predicts mean fragment size of blast muckpile. The input parameters of the ANFIS fragmentation model are the stiffness ratio and powder factor. The ANFIS fragmentation model was compared to a regression equation and the well-known Kuznetsov equation. This research specially focuses on an important but neglected design parameter, the stiffness ratio. It is believed that stiffness ratio significantly affects both ground vibration and fragmentation. The study was also aimed to perform a comprehensive and detailed model validation. Eleven error measures were used to determine prediction capabilities of the models. Performance of the error metrics was also discussed. The developed ANFIS models show quite promise. The ANFIS models have only two input parameters. Robust and noncomplex models were created. Keywords Stiffness ratio . Blast fragmentation . Ground vibration . ANFIS . Error metrics
Introduction Rock blasting is the main excavation process in aggregate quarries. The size distribution of the muckpile should be optimum and uniform as much as possible. Size distribution affects all the downstream processes such as loading, crushing, and screening. Additionally, environmental effects of blasting operation must be minimized. Some open pits and quarries are located near to residential areas. Blast-induced vibrations may reach far distances and may cause annoyance for neighbors. In recent years, there is an increasing amount of studies on forecasting blasting efficiency and environmental adverse effects. Generally existing researches in the literature focus on a
Responsible editor: Amjad Kallel * Turker Hudaverdi [email protected] 1
Department of Mining Engineering, Istanbul Technical University, Maslak, 34469 Istanbul, Turkey
single topic related to blasting. Some models predict environmental effects such as ground vibration and flyrock (e.g., Khandelwal 2010; Koçaslan et al. 2017; Dehghani and Shafaghi 2017; Faradonbeh et al. 2018). Some other studies investigate blast fragmentation efficiency (e.g., Kulatilake et al. 2010; Hasanipanah et al. 2016; Mojtahedi et al. 2018). There is an increasing need for a comprehensive research that considers blast efficiency and environmental effects together, e
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