Robust optimization of concrete strength estimation using response surface methodology and Monte Carlo simulation. Issue 5 (4th May 2017)

• Record Type: Journal Article
• Authors: Kostić, Srđan; Vasović, Nebojša; Marinković, Boban
• Is Part Of: Engineering optimization. Volume 49:Issue 5(2017)
• Page Start: 864
• Page End: 877
• Publication Date: 2017-05-04
• Subjects: Concrete compressive strength -- response surface methodology -- historical data -- prediction model -- Monte Carlo simulation; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2016.1211432
• Languages: English
• ISSNs: 0305-215X

Abstract

ABSTRACT: A new approach is proposed for the robust optimization of concrete strength estimation using response surface methodology and Monte Carlo simulation. The essence of the suggested procedure lies in the reliable prediction of concrete strength as a simple function of unit mass, water/cement ratio, age and superplasticizer content. The derived model provides sufficiently accurate results for the calibration and verification phases, the latter of which is conducted using data that were not used for model development. The results of additional analysis indicate that residuals in the calibration and verification stages have a normal distribution. Is its also shown that the uncertainty of estimated coefficient values has a statistically insignificant effect on concrete strength, confirming the reliability of the proposed model. Moreover, analysis of the effect of laboratory measurement errors indicates the robustness of concrete compressive strength against the variation in measured parameter values.