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作 者:乔立冬 姚占全[1] 王宗熙 张紫键 何梁[1] QIAO Lidong;YAO Zhanquan;WANG Zongxi;ZHANG Zijian;HE Liang(Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot,Inner Mongolia 010018, China)
机构地区:[1]内蒙古农业大学水利与土木建筑工程学院,内蒙古呼和浩特010018
出 处:《排灌机械工程学报》2022年第1期30-34,54,共6页Journal of Drainage and Irrigation Machinery Engineering
基 金:内蒙古农业大学博士科研启动基金资助项目(BJ2014-4)。
摘 要:为解决固体废弃物煤矸石的大量堆积对环境带来的巨大挑战,将煤矸石作为粗骨料替代普通碎石,基于此研究了煤矸石掺量(0,10%,20%,30%)对混凝土抗压强度的影响,通过核磁共振技术测试不同掺量煤矸石混凝土各龄期微观孔隙发育规律,同时结合灰熵法探究不同掺量煤矸石孔隙结构参数与抗压强度的关系,并结合灰色系统理论建立GM(1,4)灰色预测模型.结果表明:煤矸石的掺入会降低混凝土抗压强度,T_(2)图谱面积随煤矸石掺量增加而增加,小、微小孔隙占比较普通混凝土有所增加;根据灰熵关联度研究,煤矸石混凝土强度与孔隙结构中束缚流体饱和度、孔隙率和孔径0.1~1.0μm孔隙占比关联程度最高,分别为0.99916,0.98944,0.99593,所建立的灰色关联模型GM(1,4)试验值与预测值相对误差均值为1.97%,具有良好的预测精度.研究可为煤矸石作为粗骨料应用于实际工程提供参考依据.In order to solve the huge environmental challenge caused by the massive accumulation of solid waste coal gangue,the coal gangue was used as coarse aggregate instead of ordinary crushed stone.Based on this research,the influence of coal gangue content(0,10%,20%,30%)on the compressive strength of concrete was studied.The microscopic pore development law of different content of coal gangue concrete at various ages was tested by the nuclear magnetic resonance technology.At the same time,the relationship between the pore structure parameters of different content of coal gangue and the compressive strength of coal gangue with different content was explored by combining with the gray entropy metho.Combined with grey system theory,GM(1,4)grey prediction model was established.The results show that the addition of coal gangue will reduce the compressive strength of concrete.The area of T_(2) spectrum map increases with the increase of coal gangue content,and the proportion of small and micro pores increases compared with ordinary concrete.According to the study of grey entropy correlation,the strength of coal gangue concrete and the irreducible fluid saturation,porosity and the proportion of pore diameter in pore structure were 0.1-1.0μm.The correlation degree of micron pores in the pore structure was the highest,which were 0.99916,0.98944,and 0.99593,respectively.The average relative error between the test value and the predicted value of the established gray correlation model GM(1,4)was 1.97%,which has good prediction accuracy.This research can provide a reference for the application of coal gangue as coarse aggregate in practical engineering.
分 类 号:S277.9[农业科学—农业水土工程]
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