Analysis of predictor equations for determining the blast-induced vibration in rock blasting

Cardu, Marilena; Coragliotto, Dario

doi:10.1016/j.ijmst.2019.02.009

Cited by 28 publications

(12 citation statements)

References 48 publications

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“…They predict blast outcomes by expressly mimicking changes in conditions (Cardu, Coragliotto, and Oreste, 2019). They can simulate bulk explosive loading and movement of rocks around the blast area by analysing stress or strain in the affected region.…”

Section: Development Of Fragmentation Modelsmentioning

confidence: 99%

“…One of the reasons for the KCO model's superiority to the other empirical models is the fact that the required input parameters are comparatively simple to obtain and apply in fragment size prediction. Newer techniques for analysing blast fragments have been recently proposed (Abuhasel, 2019), such as artificial neural networks (ANNs) and multivariate regression (MVR) (Cardu, Coragliotto and Oreste, 2019). However, building these techniques to a level such that they can accommodate the blast design variables as well as quantify the influence of inherent rock properties on the blast outcome is tiresome, time-consuming, and also expensive.…”

Section: Introductionmentioning

confidence: 99%

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Prediction of rock fragmentation using the Kuznetsov-Cunningham-Ouchterlony model

Mutinda

Alunda

Maina

et al. 2021

J. S. Afr. Inst. Min. Metall.

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SYNOPSIS Assessment of blast fragment size distribution is critical in mining operations because it is the initial step towards mineral extraction. Different empirical models and techniques are available for predicting and investigating the consequences of blasting, one of which is the Kuznetsov-Cunningham-Ouchterlony (KCO) model. In this paper we summarize the advances in the empirical models from inception until now, and explore the improvements that have been made so far with particular emphasis is on the most recent KCO model. Utilization of the model and the errors that arise between expected and the actual outcomes are analysed. The results indicate that the KCO model remains useful for predicting the blast fragmentation at limestone mine sites, despite the availability of other advanced prediction models. It is also a valuable instrument for pre-surveying the impact of varying certain parameters of a blast plan. Keywords: blasting, rock fragmentation, modelling, prediction.

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Section: Development Of Fragmentation Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Prediction of rock fragmentation using the Kuznetsov-Cunningham-Ouchterlony model

Mutinda

Alunda

Maina

et al. 2021

J. S. Afr. Inst. Min. Metall.

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“…By substituting equation ( 8) into equation (11), the elastic strain energy density of the surrounding rock mass after excavation U w can be obtained:…”

Section: Strain Energy Released By the Excavation Of The Rockmentioning

confidence: 99%

“…Using the meshfree particle method, Rabczuk [4][5][6] presented innovative approaches for blast loading-driven fracture accounting for fluid-structure interaction, which provides a significantly new insight for the study of rock mass cracking, crack propagation, and vibration in retained rock mass under the action of shock wave and stress wave produced by explosive explosion during underground blasting excavation. In addition, a number of researchers have investigated the attenuation regularity of blasting vibration combined with a field test, theoretical calculation, and numerical simulation and proposed and improved the blasting vibration prediction model [7][8][9][10][11][12][13]. In current engineering application, Sadov's empirical formula is generally employed to investigate the association of blasting-induced vibration and blasting center distance and charging amount [14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Development of a Model to Predict Vibrations Induced by Blasting Excavation of Deep Rock Masses under High In Situ Stress

Fan

Cui

Leng

et al. 2020

Shock and Vibration

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During the process of blasting excavation of deep rock masses under high in situ stress, energy produced by the explosive and the strain energy released by rock mass excavation constitute the energy source of vibration. However, in traditional Sadov’s empirical formula, the energy produced by explosive explosion is only considered which makes the error higher when it is used to predict the blasting-induced vibration peak under the condition of high in situ stress. In this study, energy transformation and distribution mechanisms caused by excavation of deep rock masses were analyzed at first. Then, a prediction model of vibration peak based on the principle of energy balance was established by dimension analysis. Finally, the proposed model was trained and tested with the vibration data monitored during the blasting excavation of deep buried tunnel in Jinping II hydropower station. The result shows that compared with the traditional prediction model, the proposed model has higher fitting correlation coefficient and lower root-mean-square error, which can be better applied to the prediction of vibration induced by blasting excavation of deep rock masses under high in situ stress.

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“…Ranjan kumar et al, (2016) has proposed PPV empirical formulae by collecting a total of 1089 published blast data. To reduce the effect of vibration on the rock fragments which is induced by a blast, a correlation has been developed which was proposed by Cardu et al, (2019). Mondal et al, (2016) carried out comparative studied on the effectiveness of different isolation systems such as friction and elastomeric based systems.…”

Section: Introductionmentioning

confidence: 99%

Response control of structures under Seismic and Blast induced ground motions

Siripuram¹,

Manchalwar²

2021

E3S Web Conf.

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In the present paper an investigation is carried out to evaluate the efficiency of Base Isolation device in a building subjected to both seismic and blast induced ground motions. A 5-story building is modelled with different story stiffness and floor masses is considered in this study. In SAP 2000 software two buildings, one with fixed base and the other with isolated base are designed and nonlinear time history analysis is conducted. The structural responses of these two models subjected to four recorded earthquakes and four different blast ground accelerations is compared in this study. The base isolated device such as lead/rubber bearing have proved to be effective in reducing the base Shear and Top story acceleration, and also increase in Hysteresis energy in the base isolated structure subjected to seismic and blast vibrations.

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Analysis of predictor equations for determining the blast-induced vibration in rock blasting

Cited by 28 publications

References 48 publications

Prediction of rock fragmentation using the Kuznetsov-Cunningham-Ouchterlony model

Prediction of rock fragmentation using the Kuznetsov-Cunningham-Ouchterlony model

Development of a Model to Predict Vibrations Induced by Blasting Excavation of Deep Rock Masses under High In Situ Stress

Response control of structures under Seismic and Blast induced ground motions

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