Study on probability distribution models of the subgrade continuous compaction indicator

Tan Jiao, Xue Hui Wen, Xiang Wang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

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.

Original languageEnglish
Title of host publicationCivil Engineering, Architecture and Sustainable Infrastructure II
Pages1060-1064
Number of pages5
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2nd International Conference on Civil Engineering, Architecture and Sustainable Infrastructure, ICCEASI 2013 - Zhengzhou, China
Duration: 13 Jul 201315 Jul 2013

Publication series

NameApplied Mechanics and Materials
Volume438-439
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference2nd International Conference on Civil Engineering, Architecture and Sustainable Infrastructure, ICCEASI 2013
Country/TerritoryChina
CityZhengzhou
Period13/07/1315/07/13

Keywords

  • CMV
  • Continuous compaction indicators
  • Probability distribution
  • Subgrade engineering

ASJC Scopus subject areas

  • General Engineering

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