2020
DOI: 10.1007/s42461-019-00162-z
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Prediction of Ground Vibration Induced Due to Single Hole Blast Using Explicit Dynamics

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Cited by 22 publications
(13 citation statements)
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“…Due to the advantages of high excavation efficiency, strong adaptability to surrounding rock, low economic cost, and relatively mature technology, the drilling-blasting method is still the main construction method in the selection of mountain tunnel construction scheme [1][2][3][4][5]. e blasting vibration produced by the drilling-blasting method will damage the surrounding rock and supporting structure of the tunnel, especially in the process of short footage blasting construction, in which the surrounding rock and supporting structure will be damaged by blasting vibration for many times, and the stability of the surrounding rock and support structure in the construction process plays a decisive role in the safety of drilling and blasting construction.…”
Section: Introductionmentioning
confidence: 99%
“…Due to the advantages of high excavation efficiency, strong adaptability to surrounding rock, low economic cost, and relatively mature technology, the drilling-blasting method is still the main construction method in the selection of mountain tunnel construction scheme [1][2][3][4][5]. e blasting vibration produced by the drilling-blasting method will damage the surrounding rock and supporting structure of the tunnel, especially in the process of short footage blasting construction, in which the surrounding rock and supporting structure will be damaged by blasting vibration for many times, and the stability of the surrounding rock and support structure in the construction process plays a decisive role in the safety of drilling and blasting construction.…”
Section: Introductionmentioning
confidence: 99%
“…The Bayesian approach is applied to select the most appropriate regression model for characterization of the PPV using the SD values from an opencast coal mine, situated in an Eastern-Central part of Jharia coalfield in the Dhanbad district of Jharkhand, India (Kumar et al 2020). The data also includes 20 direct measurements of PPV values which will be used for validating the result of the proposed approaches.…”
Section: Illustrative Examplementioning
confidence: 99%
“…Although in recent decades, various artificial intelligence methods such as ANN, SVM, ANFIS, GEP, and their hybrids (Lawal and Kwon 2020) have been proposed for predicting the PPV and their performances have been encouraging as compared to the empirical models in many cases; nevertheless, the quarry operators still largely depend on the empirical models as they consider them simple because the practical implementation of many of the available AI-based models still seems like a mirage. The numerical method has also been used for predicting the PPV by generating some artificial vibrations (Kumar et al 2020). This method has also been known to be very difficult to implement and costly (Lawal and Kwon 2020).…”
Section: Introductionmentioning
confidence: 99%
“…Existing studies by Blair (2015), Yang et al (2018a), and Kumar et al (2020) indicated that the grid size had a great influence on the accuracy of simulation results. Therefore, it was necessary to carry out convergence tests to check the grid size.…”
Section: Numerical Modelmentioning
confidence: 99%