In an effort to ascertain whether or not laboratory determined fatigue data could be used to predict the cracking which might be developed in slab specimens subjcected to repetitive loading conditions, Watsonville granite and an 85-100 penetration asphalt cement slab test specimens were tested on a spring base simulating an elastic foundation. SR-4 type strain gages, aluminum foil tape and silver conducting paint were bonded to the slabs. Load was applied pneumatically for a period of 0.1 sec. and at a frequency of 100 repetitions per minute. Strains and deflections were recorded periodically on a Sanborn strip-chart recorder. Estimates of cracks were also provided by the sensors attached to the bottom of each slab. Comparisions of the number of applications to failure estimated from the slab tests agree to a reasonable degree with laboratory determined controlled stress fatigue test results on specimens obtained from slabs. It is believed that these results associated primarily with crack initiation in the slabs, lend support to the use of laboratory determined fatigue characteristics to establish distress criteria to be used in design procudures for thickness selection to minimize fatigue distress in asphalt pavements. The results of the study also support the conclusions of others that elastic theory may be used to predict the response to asphalt-bound materials to short term loads representative of those associated with moving traffic provided the appropriate conditions (loading time and temperature) are used.

  • Corporate Authors:

    University of Minnesota, Minneapolis

    155 Experimental Engineering Building
    Minneapolis, MN  United States  55455
  • Authors:
    • Yuce, R
    • Monismith, C L
  • Conference:
  • Publication Date: 1974

Media Info

  • Features: Appendices; Figures; References; Tables;
  • Pagination: p. 332-249
  • Serial:
    • Volume: 43

Subject/Index Terms

Filing Info

  • Accession Number: 00125407
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Oct 18 1975 12:00AM