Study of Acceptance Criteria for Joint Densities in Bituminous Airport Pavements.

Abstract

This report summarizes research to: 1) collect data to determine joint density values currently obtained in the field on bituminous runway paving projects; 2) determine whether correlation exists between mat density and joint density results; 3) determine whether correlation exists between the results for nuclear density gages and the core densities obtained in the field; and 4) determine whether to use nuclear density gages in the acceptance plan for bituminous runaway pavements. Data were collected on 2 runway paving projects during the spring of 1984 using 3 nuclear density gages (CPN M-2, Seaman C-75BP and Troxler 3411-B). These data were analyzed statistically to identify current production capabilities and possible correlations between mat and joint density results and between nuclear gage readings and core results. The findings indicate that joint density values are statistically significantly lower and more variable than density values attained in the paving mat. Statistically significant differences were also found in the nuclear gage results on both projects studied. The nuclear gage results indicated that the level of correlation among the core and gage results varied from gage to gage and from project to project. It is recommended that nuclear gages not be simply substituted for cores in current FAA acceptance procedures since the procedure is based on historical core data and the gage results do not necessarily correlate well with the core results.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1985
Accession Number
ADA155773

Entities

People

  • G. B. Elzoghbi
  • J. L. Burati

Organizations

  • Clemson University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Acceptability
  • Acceptance Tests
  • Air Gaps
  • Civil Engineering
  • Construction
  • Correlation Analysis
  • Data Analysis
  • Data Mining
  • Data Science
  • Data Sets
  • Engineering
  • Information Science
  • Knowledge Management
  • Linear Regression Analysis
  • Regression Analysis
  • Statistical Analysis
  • Statistics

Fields of Study

  • Physics

Readers

  • Geotechnical Engineering.
  • Regression Analysis.