PREDICTION OF PEAK PARTICLE VELOCITY VALUE USING BLASTING LOAD MODELING WITH FINITE ELEMENT METHOD
Ground vibration is a side effect that is a major concern of blasting operations. There are special regulations regarding the ground vibration threshold generated in order to minimize damage to buildings, structures, and nearby facilities. Therefore, the prediction of the value of ground vibration t...
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id-itb.:665392022-06-28T15:34:22ZPREDICTION OF PEAK PARTICLE VELOCITY VALUE USING BLASTING LOAD MODELING WITH FINITE ELEMENT METHOD Thariq Azis Faisal, Muhammad Indonesia Final Project blasting pressure, finite element method, empirical, numerical, peak particle velocity. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/66539 Ground vibration is a side effect that is a major concern of blasting operations. There are special regulations regarding the ground vibration threshold generated in order to minimize damage to buildings, structures, and nearby facilities. Therefore, the prediction of the value of ground vibration through the PPV (peak particle velocity) value induced from the blasting process is a major concern in mining. The most widely used method for predicting PPV values today is the empirical method. However, this empirical method does not consider the complexity of rock mass parameters and the uncertainty of in situ conditions in the form of complex topographical conditions. This study aims to predict PPV values with rock mass conditions and complex topography with input parameters in the form of variations in blast load values (blasting pressure) using finite element numerical modeling. An equation was obtained to determine the blasting pressure value based on the amount of explosive charge, namely P = 0.665 (kJ/kg) x Qmax (kg). This equation is used to predict the PPV value of 3 mm/s at a distance of 300 m from the blasting source to the monitoring point. text |
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Ground vibration is a side effect that is a major concern of blasting operations. There are special regulations regarding the ground vibration threshold generated in order to minimize damage to buildings, structures, and nearby facilities. Therefore, the prediction of the value of ground vibration through the PPV (peak particle velocity) value induced from the blasting process is a major concern in mining. The most widely used method for predicting PPV values today is the empirical method. However, this empirical method does not consider the complexity of rock mass parameters and the uncertainty of in situ conditions in the form of complex topographical conditions. This study aims to predict PPV values
with rock mass conditions and complex topography with input parameters in the form of variations in blast load values (blasting pressure) using finite element numerical modeling. An equation was obtained to determine the blasting pressure value based on the amount of explosive charge, namely P = 0.665 (kJ/kg) x Qmax (kg). This equation is used to predict the PPV value of 3 mm/s at a distance of 300
m from the blasting source to the monitoring point. |
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Final Project |
author |
Thariq Azis Faisal, Muhammad |
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Thariq Azis Faisal, Muhammad PREDICTION OF PEAK PARTICLE VELOCITY VALUE USING BLASTING LOAD MODELING WITH FINITE ELEMENT METHOD |
author_facet |
Thariq Azis Faisal, Muhammad |
author_sort |
Thariq Azis Faisal, Muhammad |
title |
PREDICTION OF PEAK PARTICLE VELOCITY VALUE USING BLASTING LOAD MODELING WITH FINITE ELEMENT METHOD |
title_short |
PREDICTION OF PEAK PARTICLE VELOCITY VALUE USING BLASTING LOAD MODELING WITH FINITE ELEMENT METHOD |
title_full |
PREDICTION OF PEAK PARTICLE VELOCITY VALUE USING BLASTING LOAD MODELING WITH FINITE ELEMENT METHOD |
title_fullStr |
PREDICTION OF PEAK PARTICLE VELOCITY VALUE USING BLASTING LOAD MODELING WITH FINITE ELEMENT METHOD |
title_full_unstemmed |
PREDICTION OF PEAK PARTICLE VELOCITY VALUE USING BLASTING LOAD MODELING WITH FINITE ELEMENT METHOD |
title_sort |
prediction of peak particle velocity value using blasting load modeling with finite element method |
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https://digilib.itb.ac.id/gdl/view/66539 |
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1822005185397915648 |