Study on Probability Distribution Models of Continuous Compaction Indicators

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Study on Probability Distribution Models of Continuous Compaction Indicators

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[1]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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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 35 Number of periods: 2014 02 Page number: 15-18 Column: Public date: 2014-04-30

Title:: Study on Probability Distribution Models of Continuous Compaction Indicators

Author(s):: NIE Zhihong; JAO Tan; WANG Xiang; School of Civil Engineering,Centml South University ,Changsha 410075 , China

Keywords:: subgrade construetion; eontinuous compaetion eontrol(CCC ); probability distribution.

CLC:: -

DOI:: 10.3969/j.issn.1671-6833.2014.02.004

Abstract:: 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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