Version 1
: Received: 13 July 2022 / Approved: 14 July 2022 / Online: 14 July 2022 (09:14:00 CEST)
How to cite:
Arega, T.; Bhattacharjee, B. Correlation Monitoring of Predicted and Actual Strength in CUSUM Quality Control of Concrete. Preprints2022, 2022070207. https://doi.org/10.20944/preprints202207.0207.v1
Arega, T.; Bhattacharjee, B. Correlation Monitoring of Predicted and Actual Strength in CUSUM Quality Control of Concrete. Preprints 2022, 2022070207. https://doi.org/10.20944/preprints202207.0207.v1
Arega, T.; Bhattacharjee, B. Correlation Monitoring of Predicted and Actual Strength in CUSUM Quality Control of Concrete. Preprints2022, 2022070207. https://doi.org/10.20944/preprints202207.0207.v1
APA Style
Arega, T., & Bhattacharjee, B. (2022). Correlation Monitoring of Predicted and Actual Strength in CUSUM Quality Control of Concrete. Preprints. https://doi.org/10.20944/preprints202207.0207.v1
Chicago/Turabian Style
Arega, T. and Bishwajit Bhattacharjee. 2022 "Correlation Monitoring of Predicted and Actual Strength in CUSUM Quality Control of Concrete" Preprints. https://doi.org/10.20944/preprints202207.0207.v1
Abstract
Quality monitoring (QM) with CUSUM system can result in potential economy in RMC through optimal control of target strength (by avoiding overdesign) on the one hand and through reduction of producers’ risk against rejection by the client on the other. To overcome the problems associated with the conventional 28-day compressive strength test, correlations are established between accelerated and the standard 28-day cube strength to predict the 28-day strength from the early age strength itself. This paper tried to demonstrate the lack of reliability of single correlation itself along the production time of RMC. The correlations vary with W/C as well as with type of cement. Hence it is demonstrated that correlation is concrete specific. Further, it is also demonstrated that correlation established with specimens having wide variation in the batching may result in poor correlation. Through CUSUM plots of mean and range for cube strength obtained by Monte-Carlo simulation demonstrate the utility of prediction through such correlation in QM and a methodology for monitoring the correlation itself.
Keywords
Accelerated Curing; Curing Regime; CUSUM; Quality Control
Subject
Engineering, Civil Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
