[1]聂志红,焦倓,王翔.连续压实验测指标概率分布模型研究[J].郑州大学学报(工学版),2014,35(02):15-18.[doi:10.3969/j.issn.1671-6833.2014.02.004]
NIE Zhihong,JAO Tan,WANG Xiang.Study on Probability Distribution Models of Continuous Compaction Indicators[J].Journal of Zhengzhou University (Engineering Science),2014,35(02):15-18.[doi:10.3969/j.issn.1671-6833.2014.02.004]
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连续压实验测指标概率分布模型研究(
)
《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]
- 卷:
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35
- 期数:
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2014年02期
- 页码:
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15-18
- 栏目:
-
- 出版日期:
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2014-04-30
文章信息/Info
- Title:
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Study on Probability Distribution Models of Continuous Compaction Indicators
- 作者:
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聂志红; 焦倓; 王翔
-
- Author(s):
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NIE Zhihong; JAO Tan; WANG Xiang
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School of Civil Engineering,Centml South University ,Changsha 410075 , China
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- Keywords:
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subgrade construetion; eontinuous compaetion eontrol(CCC ); probability distribution.
- DOI:
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10.3969/j.issn.1671-6833.2014.02.004
- 文献标志码:
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A
- Abstract:
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CMV is an indieator of continuous compaelion eontrol (CCC). The major purpose of the paper is toinvestigate the probability models of CMV and find the optimal rolled times based on the data of a subgradesite. Several methods were used to filter the CMV data and the diserete probability was used to find the mostaeeurate probability model. After analyzing the final CMV data, the results shows that the lognormal distribu-tion is the most aeeurate distribution. Based on the model, the result of optimal rolled times was found as sixlimes. The result of the paper provide a referenee for the subgrade continuous compaction.
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