Master of Science (MS)
First Advisor's Name
Sylvan C. Jolibois
First Advisor's Committee Title
Second Advisor's Name
Nii Busby Attoh-Okine
Third Advisor's Name
L. David Shen
Date of Defense
The estimation of pavement layer moduli through the use of an artificial neural network is a new concept which provides a less strenuous strategy for backcalculation procedures. Artificial Neural Networks are biologically inspired models of the human nervous system. They are specifically designed to carry out a mapping characteristic. This study demonstrates how an artificial neural network uses non-destructive pavement test data in determining flexible pavement layer moduli. The input parameters include plate loadings, corresponding sensor deflections, temperature of pavement surface, pavement layer thicknesses and independently deduced pavement layer moduli.
Adeife, Michael A., "Flexible pavement layer moduli determination : an adaptive artificial neural network approach" (1996). FIU Electronic Theses and Dissertations. 1137.
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