首页|灰色理论预测锂渣高性能混凝土中锂渣的临界细度

灰色理论预测锂渣高性能混凝土中锂渣的临界细度

扫码查看
采用灰色理论建立GM(1,1)模型来预测锂渣高性能混凝土中锂渣的细度,结果表明:通过GM(1,1)模型预测出的锂渣细度与试验值吻合较好;并通过残差检验,相对误差均≤3%.比较GM(1,1)模型计算值与试验值,证明这种灰色理论预测方法是简便易行的、可靠的、准确的,可以进一步探究应用于高性能混凝土其它性能的试验研究中.
Prediction of Grey Fheory on Critical Fineness of Lithium Slag in the High Performance Concrete with Lithium Slag
Using grey theory and establishing GM( 1,1) Model to predict fineness of lithium slag in the high performance concrete with lith ium slag. The results shows, that lithium slag's fineness through the GM (1,1) model of the prediction tallywell with experimental results. And through the residual inspection,all the relative error are within 3%. Therefore,it prones that the Grey theory prediction method is easy and conven ient , reliable and accurate. It can further explore other properties in the experimental research of the high performance concrete within lithium slag.

Grey theorypredictionlithium slagfineness

吴福飞、侍克斌、努尔开力·依孜特罗甫、赵江涛、刘宝星

展开 >

新疆农业大学水利与土木工程学院,新疆乌鲁木齐830052

灰色理论 预测 锂渣 细度

国家高等学校博士点专项科研基金新疆水利水电工程重点学科基金

20106504110005XJzdxk-2010-02-12

2013

粉煤灰综合利用
河北省墙体材料革新办公室 石家庄市粉煤灰综合利用和墙改办公室

粉煤灰综合利用

CSTPCD
影响因子:0.378
ISSN:1005-8249
年,卷(期):2013.(1)
  • 2
  • 2