OPTIMIZATION OF CV GUNUNG BATUJAJAR BLASTING DESIGN CONSIDER TO FRAGMENTATION USING GENETIC ALGORITH METHODS

• Main Author: Timothy
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/61516
• Institution: Institut Teknologi Bandung

Blasting is a process that causes shock waves and gas pressure from explosives to scatter rock masses with a certain volume. CV Gunung Batujajar is a company with andesite commodity that uses blasting in the andesite mining process. One of the parameters that show blasting is well blasted or not can be rated by the size of the fragmentation resulting from the blasting. Meanwhile, the fragmentation itself depends on the size of the blasting geometry used. CV Gunung Batujajar itself has an optimal fragmentation of 40 cm. Therefore, this study will analyze the size of the blasting fragmentation of CV Gunung Batujajar and optimize the blasting geometry if the blasting fragmentation is not in accordance with the provisions of CV Gunung Batujajar.In analyzing blasting fragmentation, Wipfrag 3.3 software is used. From the results of the analysis, the size of the blasting fragmentation of front 1, north front 1, and front 2 is 40-60 cm, 38 cm, and 35-36 cm, respectively. These results indicate that the results of front 1 blasting fragmentation are still outside the company's regulations, therefore it is necessary to optimize the blasting geometry. This optimization process is carried out using the Genetic Algorithm method in Matlab software. The results of the geometry optimization of front 1 burden, spaced, stemming, and subdrill blasting are 2.6 m, 3.7 m, 2.6 m, and 0.8 m, respectively.