Author : Jian-Shiuh Chen
Release : 2011
Genre : Acceptance decision
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Development of Specification Limits for Asphalt Pavements Based on Quality Control and Quality Assurance Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Development of Specification Limits for Asphalt Pavements Based on Quality Control and Quality Assurance Data write by Jian-Shiuh Chen. This book was released on 2011. Development of Specification Limits for Asphalt Pavements Based on Quality Control and Quality Assurance Data available in PDF, EPUB and Kindle. Asphalt content and aggregate gradation measurements for hot-mix asphalt (HMA) concrete were collected during the 2008 construction season to develop statistics for quality control (QC) and quality assurance (QA) programs for the Taiwan Highway Bureau (THB). Data were analyzed to determine if the quality characteristics followed a normal distribution in order to compare contractor and THB measurements and to develop specification limits. The quality test data were shown to follow a normal distribution; therefore, appropriate statistics could be developed from the normally distributed data. Differences between QC and QA test results were shown to be statistically significant for some of the mix properties. QA and QC comparisons indicated that QC data were less variable and tended to have more favorable test results that would give more favorable acceptance outcomes to contractors. This is a significant finding since highway agency pay factors assume the validity of QC data. A statistical process was established to determine a typical standard deviation value by taking into account the variability of both QC and QA data. The revised specification limits were developed as construction control tools for the quality characteristics of HMA mixtures. The revised specification limits were found to be loose enough to account for material, sampling, and testing variations but still tight enough to identify manufacturing and construction variability.