Publications by authors named "Davood Bahrami"
Underground mine fires are a threat to the safety and health of mine workers. The timely determination of the location and size of an underground fire is of great importance in developing firefighting strategies and reducing the risk of any injuries. Machine learning was used in this paper to develop a predictive model for fire location and fire size in an underground mine.
View Article and Find Full Text PDFMine equipment fires remain as one of the most concerning safety issues in the mining industry, and most equipment fires were caused by hot surface ignitions. Detailed experimental investigations were conducted at the NIOSH Pittsburgh Mining Research Division on hot surface ignition of liquid fuels under ventilation in a mining environment. Three types of metal surface materials (stainless steel, cast iron, carbon steel), three types of liquids (diesel fuel, hydraulic fluid, engine oil), four air ventilation speeds (0, 0.
View Article and Find Full Text PDFThe primary danger with underground mine fires is carbon monoxide poisoning. A good knowledge of smoke and carbon monoxide movement in an underground mine during a fire is of importance for the design of ventilation systems, emergency response, and miners' escape and rescue. Mine fire simulation software packages have been widely used to predict carbon monoxide concentration and its spread in a mine for effective mine fire emergency planning.
View Article and Find Full Text PDFBackground: Body mass index (BMI) before pregnancy and weight gaining during pregnancy affect infant birth weight and are associated with unfavorable pregnancy outcomes. The aim of this study was to describe the weight gain pattern of Iranian pregnant women according to the BMI status at the beginning of pregnancy.
Methods: This was a longitudinal cross sectional study.