2016
DOI: 10.1007/s00366-016-0461-2
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Prediction of blast-induced flyrock using differential evolution algorithm

Abstract: loading and hauling. Fragments can be thrown beyond the desired pile limit, which is normal but is considered adverse effect of blasting and is called flyrock. Fragments propelled far beyond predefined safety limit are considered security breach and are called wild flyrock [1].Due to high potential to cause damage to machinery and nearby structures and to cause injuries, even fatal, to personnel, flyrock is the most dangerous adverse effect of blasting and this phenomenon is responsible for 28.3 % of the damag… Show more

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Cited by 20 publications
(11 citation statements)
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“…Then, after initialization, the search space is expanded by the mutation. The V g i is the mutant solution vector of X g i which is calculated based on Equation 4 [88].…”
Section: Differential Evolution (De) Algorithmmentioning
confidence: 99%
See 1 more Smart Citation
“…Then, after initialization, the search space is expanded by the mutation. The V g i is the mutant solution vector of X g i which is calculated based on Equation 4 [88].…”
Section: Differential Evolution (De) Algorithmmentioning
confidence: 99%
“…At first, the control parameters of DE algorithm are determined to find the optimum weights and biases of ANN model that can converge faster and accurately. For this purpose, similar to PSO model, the crossover probability coefficient was selected as 0.2, and other parameters were determined by trial and error method from previous studies and experts' opinions [87,88]. In addition, the datasets for modeling were randomly divided into several subsets, including 70% for training and the rest for validation (15%) and testing (15%) [ According to Figure 6, it is evident that after the sixth iteration with 0.00133, the best cost was reached, and the model achieves a worthy convergence, and it was fixed to the end of the iteration.…”
Section: De Modellingmentioning
confidence: 99%
“…3. Dehghani and Shafaghi (2017) attempted to address the inadequate predictive capability of existing empirical models by using a combination of differential evaluation (DE) and dimensional analysis (DA) algorithms. DA is defined as an engineering method that is used to create equations that will satisfy the analysis of complex multivariable systems.…”
Section: Flyrock Research Based On Empirical and Statistical Analysismentioning
confidence: 99%
“…The methodology involved collecting data from 300 blasts and measuring and recording both the input parameters and the resulting flyrock. The input parameters considered were the blast-hole diameter (D) and length (L), number of blast-holes (NB), spacing (S), burden (B), ANFO charge mass (Q), stemming length (St), powder factor (PF) and specific drilling (SD) (Dehghani and Shafaghi, 2017). Data was collected in the same manner as in the studies discussed previously.…”
Section: Flyrock Research Based On Empirical and Statistical Analysismentioning
confidence: 99%
“…In the next step, to analyse data and provide a prediction model, a combination of differential evaluation algorithm (DE) and dimensional analysis algorithm (DA) was used. Their developed model had a more suitable performance in predicting the blast‐produced flyrock phenomenon compared to other experimental methods (Dehghani & Shafaghi, 2017). In another study by Fouladgar et al, a series of conventional experimental relations and a new metaheuristic algorithm called the cuckoo search algorithm, were used to estimate the peak particle velocity in the mine blasting.…”
Section: Introductionmentioning
confidence: 99%