University of Illinois Engineering Experiment Station. College of Engineering. University of Illinois at Urbana-Champaign.
Abstract
A library system has been developed for the acquisition, compilation and
storage of information relating to the fatigue behavior of metal members and
structures. Test data obtained from the various information sources are stored on
both data sheets (for individual examination), and on standard computer punch cards.
A computer program has been developed to sort the data into sets satisfying certain
stipulated specimen types and loading conditions. A "best-fit" S-N curve for each
specified data set is then established using a least squares error of estimate and
correlation coefficient of the regression line, and the lower tolerance limits for
99 percent survival at 50 percent and 95 percent confidence levels. The data and
S-N curve are visually displayed using a CALCOMP plotter printout.
Information obtained from an analysis of the data in the Fatigue Data Bank
for several selected details indicates that the current AASHO bridge design specification
provisions, for these details, do not provide consistent correlations nor
properly model the fatigue behavior of the details as established by laboratory
tests.The State of Illinois. Department of Transportation, Division of Highway.The U.S. Department of Transportation. Federal Works Administration.Project IHR-6
