摘要
为揭示硫化矿石自热过程的分形特征,以从现场采集的矿石样品作为实验材料,开展矿石自热特性实验,集成小波技术和分形理论对实测温度数据进行研究。结果表明:仅矿样1、2、3和8出现明显自热现象,自热起始温度分别为136.3、178.5、195.4和200℃,在正常采矿条件下,矿石不易产生自热现象;矿样自热过程具有稳定的关联维数,验证了基于分形理论研究自热过程的可行性;在实验条件基本一致的前提下,随着自热起始温度的增大,矿样自热过程的关联维数逐渐减小,可采用关联维数来定性判断自热倾向性强弱;自热效果明显的矿样,其实验后期的关联维数大于实验前期的值,因此,可根据关联维数的变化特征来判定矿样出现明显自热的可能性,从而可减少重复实验的工作量。
To reveal the fractal characteristics of self-heating process of sulfide ores, ore samples from a copper mine were taken as experimental materials, and the self-heating characteristics were measured in laboratory. Furthermore, the measured temperature was studied by integrating wavelet technology and fractal theory. The results indicate that only the ore samples 1, 2, 3 and 8 appear obvious self-heating tendency, and their self-heating initiative temperatures are 136.3, 178.5, 195.4 and 200 ℃, respectively, which mean that they are difficult to show self-heating tendency under normal mining conditions. The correlation dimension of self-heating process of ore samples is stable, meaning that it is feasible to study the self-heating process based on fractal theory. If the experimental conditions are basically consistent, the correlation dimension of self-heating process of ore samples decreases with the increase of he self-heating initiative temperature. So, the correlation dimension can be applied to qualitatively determine the self-heating tendency. For the ore samples appearing obvious self-heating tendency in the experiment, the correlation dimension of the late period is greater than that of the previous period. Therefore, the possibility for obvious self-heating tendency of ore samples can be determined according to the variation characteristics of the correlation dimension, which can reduce the workload of repeated experiments.
出处
《中国有色金属学报》
EI
CAS
CSCD
北大核心
2015年第2期492-499,共8页
The Chinese Journal of Nonferrous Metals
基金
国家自然科学基金资助项目(51304238)
矿山热动力灾害与防治教育部重点实验室基金资助课题(JSK200206)
关键词
硫化矿石
自热过程
小波技术
分形理论
关联维数
自热倾向性
sulfide ore
self-heating process
wavelet technology
fractal theory
correlation dimension
self-heatingtendency