The purpose of this study is to measure the size distribution of blasted rock using the digital image processing software “SplitDesktop system” in order to evaluate the efficiency of blasting operation. Site of study is a limestone quarry producing limestone for cement manufacturing. Fragmentation is the ultimate measure of efficiency of any production blasting operations. The degree of fragmen...

In extra-thick coal seams, mining operations can lead to large-scale disturbances, complex overburden structures, and frequent and strong strata behavior in the stope, which are serious threats to mine safety. This study analyzed the overburden structure and strata behavior and proposed the technique of confined blasting in water-filled deep holes as a measure to prevent strong rock pressure. I...

This study investigated occupational exposure to silica dust of 48 workers in stone cutting, glass making, ceramic, and sand blasting plants in the north of Iran. Samples were collected from the breathing zone using a personal sampling pump and a size-selective cyclone. Sample filters and blanks were analysed using infrared spectroscopy. The mean sampling period was 4.83 h. Mean exposure of wor...

We developed a technique for constructing light diffusing devices comprised of a flexible shape memory polymer (SMP) cylindrical diffuser attached to the tip of an optical fiber. The devices are fabricated by casting an SMP rod over the cleaved tip of an optical fiber and media blasting the SMP rod to create a light diffusing surface. The axial and polar emission profiles and circumferential (a...

Z. Kaláb, M. Stolárik, Institute of Geonics, Academy of Sciences, Czech Republic, B. Pandula, J. Kondela, Technical University of Košice, Institute of Geosciences, Slovakia The article summarizes experimental seismological measurements of vibration eff ects of blasting operations. During tunnel excavation can watch a variety of eff ects on the near or distant surroundings of the building. One o...

Prediction and parameter optimization are effective methods for mine personnel to control blast-induced ground vibration. However, the challenge of prediction lies in multi-factor multi-effect nature open-pit blasting. This study proposes a hybrid intelligent model predict vibrations using least-squares support vector machine (LSSVM) optimized by particle swarm algorithm (PSO). Meanwhile, multi...