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

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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.
Publisher
TECHNO-PRESS
Issue Date
2017-12
Language
English
Article Type
Article
Citation

COMPUTERS AND CONCRETE, v.20, no.6, pp.645 - 654

ISSN
1598-8198
DOI
10.12989/cac.2017.20.6.645
URI
http://hdl.handle.net/10203/287593
Appears in Collection
GCT-Journal Papers(저널논문)
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