MODELING BLAST LOAD FOR PREDICTING PEAK PARTICLE VELOCITY IN BENCH BLASTING USING RS2

Ground vibration is one of the environmental effects of blasting activity in the form of a dynamic load that can hurt the situation around the blast site if it exceeds the threshold value. The most widely used controlling index to determine the magnitude of the vibration strength is the Peak Particl...

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Main Author: Wardhani Tonang, Reza
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/69879
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:69879
spelling id-itb.:698792022-12-09T09:39:08ZMODELING BLAST LOAD FOR PREDICTING PEAK PARTICLE VELOCITY IN BENCH BLASTING USING RS2 Wardhani Tonang, Reza Indonesia Theses Peak Particle Velocity (PPV), blasting load, finite element method, bench blasting, and RS2 software. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/69879 Ground vibration is one of the environmental effects of blasting activity in the form of a dynamic load that can hurt the situation around the blast site if it exceeds the threshold value. The most widely used controlling index to determine the magnitude of the vibration strength is the Peak Particle Velocity (PPV). This study conducted modeling blast load for predicting PPV value using the finite element method with RS2 software. Modeling is done by trial-error input blasting load value in the model until the PPV value is the same as the actual PPV value. The blasting load value obtained is then analyzed using multivariate statistical analysis with blasting operation parameters that can affect the PPV value namely, the maximum explosive charge per delay time and the length of the blasting area. The results showed that the blasting load is directly proportional to the maximum explosive charge per time delay and inversely proportional to the length of the blasting area. To evaluate this relationship, a comparison of the predicted PPV value from numerical modeling and empirical equations was carried out with the actual PPV value. The results show that the PPV value from numerical modeling has the best Mean Absolute Error (MAE), Root Mean Square Error (RMSE) and coefficient of determination (R2). So, it can be concluded that the blasting load equation obtained can be used in predicting the PPV value that is accurate and close to the real conditions in the field. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Ground vibration is one of the environmental effects of blasting activity in the form of a dynamic load that can hurt the situation around the blast site if it exceeds the threshold value. The most widely used controlling index to determine the magnitude of the vibration strength is the Peak Particle Velocity (PPV). This study conducted modeling blast load for predicting PPV value using the finite element method with RS2 software. Modeling is done by trial-error input blasting load value in the model until the PPV value is the same as the actual PPV value. The blasting load value obtained is then analyzed using multivariate statistical analysis with blasting operation parameters that can affect the PPV value namely, the maximum explosive charge per delay time and the length of the blasting area. The results showed that the blasting load is directly proportional to the maximum explosive charge per time delay and inversely proportional to the length of the blasting area. To evaluate this relationship, a comparison of the predicted PPV value from numerical modeling and empirical equations was carried out with the actual PPV value. The results show that the PPV value from numerical modeling has the best Mean Absolute Error (MAE), Root Mean Square Error (RMSE) and coefficient of determination (R2). So, it can be concluded that the blasting load equation obtained can be used in predicting the PPV value that is accurate and close to the real conditions in the field.
format Theses
author Wardhani Tonang, Reza
spellingShingle Wardhani Tonang, Reza
MODELING BLAST LOAD FOR PREDICTING PEAK PARTICLE VELOCITY IN BENCH BLASTING USING RS2
author_facet Wardhani Tonang, Reza
author_sort Wardhani Tonang, Reza
title MODELING BLAST LOAD FOR PREDICTING PEAK PARTICLE VELOCITY IN BENCH BLASTING USING RS2
title_short MODELING BLAST LOAD FOR PREDICTING PEAK PARTICLE VELOCITY IN BENCH BLASTING USING RS2
title_full MODELING BLAST LOAD FOR PREDICTING PEAK PARTICLE VELOCITY IN BENCH BLASTING USING RS2
title_fullStr MODELING BLAST LOAD FOR PREDICTING PEAK PARTICLE VELOCITY IN BENCH BLASTING USING RS2
title_full_unstemmed MODELING BLAST LOAD FOR PREDICTING PEAK PARTICLE VELOCITY IN BENCH BLASTING USING RS2
title_sort modeling blast load for predicting peak particle velocity in bench blasting using rs2
url https://digilib.itb.ac.id/gdl/view/69879
_version_ 1822006151162626048