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Concrete Quality Assurance Using Accelerated Strength Testing
This report provides additional information and guidance to division laboratories and field offices within the Corps of Engineers on the use of accelerated strength testing for predicting potential compressive strengths of concrete and assuring the quality of concrete production. The Richard B. Russell Dam test results were analyzed using a regression equation developed by the U.S. Army Corps of Engineers South Atlantic Division Laboratory (SADL). The Lock and Dam No. 1 test results were analyzed using a Regression equation developed by the U.S. Army Corps of Engineers Waterways Experiment Station (WES) Structures Laboratory. The report concludes that accelerated strength testing can apparently predict concrete potential compressive strengths and assure proper quality control of concrete production if a valid regression equation is developed. The regression equation may be developed fom laboratory or field test data. The regression analysis should use a minimum of 30 sets of test data which have a broad strength range. If project materials charge during the course of construction, a new linear regression analysis must be performed using compressive strength data representing concrete made from the new materials.
Concrete Quality Assurance Using Accelerated Strength Testing
This report provides additional information and guidance to division laboratories and field offices within the Corps of Engineers on the use of accelerated strength testing for predicting potential compressive strengths of concrete and assuring the quality of concrete production. The Richard B. Russell Dam test results were analyzed using a regression equation developed by the U.S. Army Corps of Engineers South Atlantic Division Laboratory (SADL). The Lock and Dam No. 1 test results were analyzed using a Regression equation developed by the U.S. Army Corps of Engineers Waterways Experiment Station (WES) Structures Laboratory. The report concludes that accelerated strength testing can apparently predict concrete potential compressive strengths and assure proper quality control of concrete production if a valid regression equation is developed. The regression equation may be developed fom laboratory or field test data. The regression analysis should use a minimum of 30 sets of test data which have a broad strength range. If project materials charge during the course of construction, a new linear regression analysis must be performed using compressive strength data representing concrete made from the new materials.
Concrete Quality Assurance Using Accelerated Strength Testing
S. A. Ragan (author)
1984
57 pages
Report
No indication
English
Construction Equipment, Materials, & Supplies , Construction Materials, Components, & Equipment , Concrete , Cements , Quality assurance , Strength(Mechanics) , Quality control , Compressive properties , Fatigue tests(Mechanics) , Accelerated testing , Linear regression analysis , Correlation , Mixtures , Army Corps of engineers , Computer programming
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