Case-based reasoning approach to estimating the strength of sustainable concrete

Choongwan Koo, Ruoyu Jin, Bo Li, Seung Hyun Cha and Dariusz Wanatowski

Abstract

Continuing from previous studies of sustainable concrete containing environmentally friendly materials and existing modeling approach to predicting concrete properties, this study developed an estimation methodology to predicting the strength of sustainable concrete using an advanced case-based reasoning approach. It was conducted in two steps: (i) establishment of a case database and (ii) development of an advanced case-based reasoning model. Through the experimental studies, a total of 144 observations for concrete compressive strength and tensile strength were established to develop the estimation model. As a result, the prediction accuracy of the A-CBR model (i.e., 95.214% for compressive strength and 92.448% for tensile strength) performed superior to other conventional methodologies (e.g., basic case-based reasoning and artificial neural network models). The developed methodology provides an alternative approach in predicting concrete properties and could be further extended to the future research area in durability of sustainable concrete.

Key Words

sustainable concrete; advanced case-based reasoning; environmentally friendly concrete materials; concrete mixture design; concrete strength prediction; optimization process

Address

Choongwan Koo and Seung Hyun Cha: Department of Building Services Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong Ruoyu Jin: School of Environment and Technology, University of Brighton, Brighton BN2 4GJ, UK Bo Li: Department of Civil Engineering, University of Nottingham Ningbo China, 199 Taikang East Road, Ningbo 315104, China Dariusz Wanatowski: Faculty of Engineering, University of Leeds, Leeds LS2 9JT, UK

← Back to Volume 20, No. 6