Study on Probability Distribution Models of the Subgrade Continuous Compaction Indicator

Abstract:

The paper based on the site of a subgrade compaction test data, used the continuous compaction indicator CMV as the analysis variable, filtered the date based on the influencing factors of CMV, and used the common probability models for statistical analysis,finally got the probability distribution models with which the CMV data comply, then chose the most accurate distribution model. The result showed that the lognormal distribution was the most accurate distribution. After being examined in two other test sections, the lognormal distribution was also the most accurate distribution. It provides a reference for the continuous compaction quality testing of the subgrade.

• Periodical: Applied Mechanics and Materials (Volumes 438-439)
• Pages: 1060-1064
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.438-439.1060
• Online since: October 2013
• Authors: Tan Jiao, Xue Hui Wen, Xiang Wang
• Keywords: CMV, Continuous Compaction Indicators, Probability Distribution, Subgrade Engineering

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