Using blasting caps with electronic delay units, and programmable delay times down to 1 ms, it has become possible to employ wave superposition in rock blasting. It has been hypothesized that fragmentation is improved in areas between blastholes where the tensile waves meet, overlap and interact. An improved fragmentation can, in turn, result in reduced costs for both blasting and transportation of the blasted rock, improved environmental aspects, and reductions in energy consumption during crushing and grinding of the blasted rock, as well as improved metal recovery. In this project, the above hypothesis was further studied in conjunction with developing computational tools for simulation of blasting with electronic programmable delay caps.
This course provides an overview of the Python programming language in Itasca software. The course covers major applications of Python to extend modeling capabilities with the Itasca codes through a number of applied examples.
Joel has a Master's degree in Civil Engineering, majoring in soil and rock engineering. Joel works with numerical modeling for mining projects, including both continuum and discontinuum analysis, as well as modeling of gravity flow. His previous work experience includes geotechnical problems mainly for building foundations.
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