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基于爆炸参数的硫化矿尘云爆炸风险评估 被引量:2

Risk assessment of sulfide ore dust cloud explosion based on explosion parameters
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摘要 基于20 L球形爆炸装置与G-G炉实验获得的不同硫化矿尘的爆炸特性参数,运用风险矩阵对矿尘爆炸严重程度及敏感性进行分级。根据分级结果建立矿尘爆炸危险性评估的二维矩阵模型,并对不同硫化矿尘样品进行危险性评价。结果表明,硫化矿尘爆炸危险性受粒径及含硫量的共同影响,其中含硫量对爆炸危险性影响效果更明显,当粒径为75μm,含硫量由36.90%降低至17.12%时,爆炸危险性由A级下降至D级;含硫量在20%~35%,粒径由25μm增加至75μm时,爆炸危险性由B级下降至C级。硫化矿尘爆炸风险矩阵评价系统可对含硫矿山爆炸风险进行评估,为矿山粉尘爆炸预防及风险防控提供理论依据。 Based on the explosion characteristic parameters of different sulfide ore dust obtained from the experiments of a 20 L spherical explosive device and G-G furnace, the severity and sensitivity of ore dust explosion were classified by a risk matrix. According to the classification results, a two-dimensional matrix model of ore dust explosion risk asessment was established, conducting the risk assessment of different sulfide ore dust samples. The results show that the explosion risk of sulfide ore dust is jointly affected by particle size and sulfur content, and the effect of sulfur content on explosion risk is more obvious. When particle size is 75 μm and sulfur content decreases from 36.90% to 17.12%, explosion risk decreases from grade A to grade D.When sulfur content is 20%~35% and particle size increases from 25 μm to 75 μm, explosion risk decreases from grade B to grade C. The evaluation system of sulfide ore dust explosion risk matrix can evaluate the explosion risk of sulfur-containing mines to provide a theoretical basis for the prevention and risk control of mine dust explosion.
作者 苏港 饶运章 田长顺 向彩榕 黄涛 SU Gang;RAO Yunzhang;TIAN Changshun;XIANG Cairong;HUANG Tao(School of Resources and Environment Engineering,Jiangxi University of Science and Technology,Ganzhou 341000,Jiangxi,China)
出处 《有色金属科学与工程》 CAS 北大核心 2023年第1期118-124,共7页 Nonferrous Metals Science and Engineering
基金 国家自然科学基金资助项目(51874149,51364010)。
关键词 硫化矿尘 二维矩阵 风险评估 爆炸预防 sulfide ore dust two-dimensional matrix risk assessment explosion prevention
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