Abstract

AbstractMany state departments of transportation are currently shifting more acceptance sampling and testing responsibilities to contractors because of a shortage of personnel at highway agencies and intensive construction schedules. The practice of using contractor-performed test results for acceptance decisions is referred to here as contractor acceptance testing (CAT). Studies have shown the need for improving the power of the statistical process used to validate the contractor’s test results. A potential improvement to CAT is to accumulate contractor’s and agency’s test results of consecutive lots to increase sample size and consequently increase the power of the statistical tests used to verify the contractor’s test results. In this study, two different types of cumulative sampling methods (i.e., continuous cumulative and chain lot) are applied to actual test results obtained from the Kansas Department of Transportation (KDOT), which includes contractor-performed test results and agency-performed tes...

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