The importance of site-specific characters in prediction models for blast-induced ground vibrations

Kuzu, C.

doi:10.1016/j.soildyn.2007.06.013

Cited by 93 publications

(31 citation statements)

References 12 publications

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“…Reichholf et al (2008) made an attempt to reduce the ground vibrations during blasting. The importance of site specific characters and geological factors in the prediction of ground vibrations has also been previously illustrated Kuzu (2008). Ak and Konu (2008) studied the effect of frequency of discontinuities on ground vibrations.…”

Section: Introductionmentioning

confidence: 95%

Prediction of peak particle velocity using multi regression analysis: case studies

Chandar

Sastry

Hegde

et al. 2016

Geomechanics and Geoengineering

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Ground vibrations produced from blasting operations cause structural vibrations, which may weaken structure if it occurs at the resonant frequency. Measurable parameters associated with ground vibrations are peak particle velocity (PPV), amplitude and dominant frequency (frequency of highest PPV amongst translational, vertical and horizontal vibrations). In this paper, an attempt is made to correlate measurable parameters associated with ground vibrations with scaled distance. Using the correlated data, it was found that a predictor equation can be determined for the amplitude and PPV, but not for dominant frequency as it is dynamic and depends upon infinitesimal changes that occur within a number of other parameters. Another analysis of the same is made using multiple linear regression analysis. This included predicting the PPV using scaled distance, maximum charge per delay, amplitude as predictors. A considerable improvement is seen in the prediction on adding the interaction of the predictors in multiple regressions. A comparison of different combination of predictors is made so as to assess the best combination giving the best R 2 value for the given mine. Frequency is also plotted using the aforementioned method. However, it was found that the dominant frequency cannot be predicted with high accuracy even with this method. ARTICLE HISTORY

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Section: Introductionmentioning

confidence: 95%

Prediction of peak particle velocity using multi regression analysis: case studies

Chandar

Sastry

Hegde

et al. 2016

Geomechanics and Geoengineering

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“…However, blasting has a number of negative side effects on the environment, such as air-overpressure (AOp), ground vibration, flyrock, dust and fumes, and so on [1][2][3][4][5], especially if blasting operations are carried out near to residential buildings, factories, etc. or they are not designed appropriately [6,7]. AOp resulting from blasting is an undesirable side-effect of the use of explosives.…”

Section: Introductionmentioning

confidence: 99%

A combination of the ICA-ANN model to predict air-overpressure resulting from blasting

Armaghani

Hasanipanah

Mohamad

2015

Engineering with Computers

126

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including coefficient of determination (R 2 ), root mean square error and value account for were utilized to check the performance capacity of the predictive methods. Considering these performance indices and using simple ranking method, the best models were selected among all constructed models. It was found that the ICA-ANN approach can provide higher performance capacity in predicting AOp compared to other predictive methods.

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“…Howkins (1961), Kekec and Gokay (2010), Ak (2006) and Iscen (1995) indicated that seismic velocity is affected by discontinuities in the rock masses. Kuzu (2007) reported the effects of geological factors in predicting the level of blast-induced ground vibrations and emphasized that determination of the discontinuities and investigation of the role of the main discontinuity in the stress wave propagation is important. Hao et al (2001) discussed the effects of rock joints on the characteristics of stress wave propagation, such as peak value attenuation and spectral and spatial variations.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the effect of vibrational wave propagation of different artificial discontinuous planes in rock samples

2014

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Vibrational waves can progress far away from their sources. Therefore, such waves have the capacity to cause damage to human environments. Such waves originating from mining activities (especially rock blasting) should be studied to understand their propagation mechanism in fractured rock masses. To determine how the vibrational shock wave is distributed in fractured rock masses, laboratory tests were performed. Rock samples with different discontinuity geometry combinations were tested by applying exactly the same vibrational shock to the test samples. The cumulative effects of exposure to vibrational shock waves and the propagation of waves at discontinuities in the rock samples were observed from the other end of the sample using vibration seismographs. The measured data indicated which rock mass properties have the most effect on wave propagation. In this study, different discontinuity systems were used in the rock specimens. These discontinuity systems were referred to as the groups 1, 2, 3 and 4 models. Based on the results of the vibration tests, each group was determined to have behaved differently in terms of wave propagation.

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The importance of site-specific characters in prediction models for blast-induced ground vibrations

Cited by 93 publications

References 12 publications

Prediction of peak particle velocity using multi regression analysis: case studies

Prediction of peak particle velocity using multi regression analysis: case studies

A combination of the ICA-ANN model to predict air-overpressure resulting from blasting

Evaluation of the effect of vibrational wave propagation of different artificial discontinuous planes in rock samples

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