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Reduction of the undesirable bench-blasting consequences with emphasis on ground vibration using a developed multi-objective stochastic programming

Authors: Ezzeddin Bakhtavar; Jafar Abdollahisharif; Mohammad Ahmadi;

Reduction of the undesirable bench-blasting consequences with emphasis on ground vibration using a developed multi-objective stochastic programming

Abstract

AbstractIn this research, a model was developed based on stochastic goal programming by considering the fuzzy weights and the risk aversion coefficients of the goals, in order to determine the best blasting plan with minimum ground vibration as a critical environmental consequence in surface mines. In this model, the binary decision variables (zero and one) were taken into consideration, in the form of selecting or not selecting the blasting plans in the developed model. In order to model the problem mathematically, for Asgarabad 2 limestone mine, the goals of reducing the air and ground vibration, reduction of fragmentation size, reduction of specific charge and reduction of the blasting costs at optimal levels were considered as the most important. The results obtained from solving the stochastic goal model suggested the selection of Plan 4 which includes a hole diameter of 64 mm, a burden of 2 m, a spacing of 2.2 m, a hole length of 3.5 m, a stemming length of 1.35 m, a specific charge of 154.45 g/tonn...

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Top 10%
Top 10%
Average
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