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作 者:何真[1] 蒋睿[1] 胡骏 HE Zhen;JIANG Rui;HU Jun(State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 43007)
机构地区:[1]武汉大学水资源与水电工程科学国家重点实验室,武汉430072
出 处:《水力发电学报》2018年第5期133-141,共9页Journal of Hydroelectric Engineering
基 金:国家自然科学基金(51379163);科技部973项目(2015CB655101)
摘 要:以不同岩性、不同细度的石粉为研究对象,采用勃氏透气法、负压筛法、水筛法和激光粒度分析法表征其细度,借助统计学手段分析各测试方法的数据可靠性。结果表明,勃氏透气法试验结果稳定性较好,是一种快速而有效的石粉细度测试方法;筛分法测试操作简便、易实现,但由于受石粉母岩岩性、颗粒表面特性等影响较大,测试结果波动较大;激光粒度分析法的试验规律与勃氏透气法相一致,当需要精确的石粉粒度分布情况时,建议辅助采用激光粒度分析法进行表征。This study examines various testing techniques for the fineness evaluation of stone powders, including the Blaine air permeation method, negative pressure screen analysis, water flushing filtration method, and laser particle size analysis, focusing on the stability of these techniques based on statistical analysis and SEM images. Results show that the Blaine method is effective and is the most stable method in the fineness evaluation of stone powder. The two sieving methods are simple and easy to achieve, but their test results are usually unstable because the rock lithology and particle surface characteristics has a great impact on stone powder grinding. Results of the laser particle size analysis are in good agreement with those of the Blaine method. This study suggests that the laser analysis should be adopted to characterize particle grading when a high accuracy is required.
分 类 号:TU528.0[建筑科学—建筑技术科学]
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