DYNAMIC SIMULATION OF OPEN CUT BENCH BLASTING USING BLAST LOAD TO PREDICT PEAK PARTICLE VELOCITY (PPV) AT CISUMDAWU TOLL ROAD DEVELOPMENT PROJECT IN SECTION #4

• Main Author: Yanottama, Andy
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/72074
• Institution: Institut Teknologi Bandung

Blasting technique is one of the methods used to excavate hard rock in mines and civil work. Blasting operation may cause unfavorable effect, one of which is producing ground vibration that may give an adverse impact on the surrounding environment. One of the parameters to determine the level of ground vibration is peak particle velocity (PPV). Ground vibration from blasting operation originate from a blast load because of oxidation reaction of explosive used. This study was conducted to simulate a bench blasting by assigning the blast load in blasting operation. Vibration monitoring data by using Instatel Minimate Plus validates the simulation result. The simulation process uses finite element method (FEM) by rocscience (RS2) software. The modeling of blast load is carried out by trial and error until the numerically predicted PPV value is close to the actual PPV. The obtained blast load are the analyze using multivariate statistic analysis to determine its relationship to the maximum explosive charge per delay time and the length or radius of the blasting area. The results revealed that the blast load is directly proportional to the maximum explosive charge per delay time, and inversely proportional to the length of the blasting area. To evaluate this relationship, a comparison of the results of the predicted PPV of the empirical method and the numerical prediction PPV was carried out against the actual PPV. The results revealed that the numerical prediction PPV has the best values of Mean Absolute Error (MAE), Root Mean Square Error (RMSE) and coefficient of determination (R2). So it can be concluded that the blast load equation obtained can be used to determine the blast load value which is useful in predicting the PPV value which is close to the actual PPV value.