Environment|구충완
Case-based reasoning approach to estimating the strength of sustainable concrete
2017International Journals
Research AreaEnvironment
Professor구충완
AuthorsKoo, C., Jin, R., Li, B., Cha, S., and Wanatowski, D
Publication Year2017
Journal (Volume, Issue, Pages)Computers and Concrete, 20(5), 511-519 , Techno-Press). (PolyU)
AbstractContinuing 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.
Sustainable ConcreteAdvanced Case-Based ReasoningEnvironmentally Friendly Concrete MaterialsConcrete Mixture DesignConcrete Strength PredictionOptimization Process
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