Case-Based Reasoning Approach to Estimating the Strength of Sustainable Concrete

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

Research output: Contribution to journalArticle

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.
Original languageEnglish
JournalComputers and Concrete
DOIs
Publication statusPublished - 30 Jul 2017

Fingerprint

Case based reasoning
Concretes
Compressive strength
Tensile strength
Durability
Neural networks

Keywords

  • Sustainable concrete
  • Advanced case-based reasoning
  • Environmentally friendly concrete materials
  • Concrete 23 mixture design
  • Concrete strength prediction
  • Optimization process

Cite this

Koo, Choongwan ; Jin, Ruoyu ; Li, Bo ; Cha, Seung Hyun ; Wanatowski, Dariusz. / Case-Based Reasoning Approach to Estimating the Strength of Sustainable Concrete. In: Computers and Concrete. 2017.
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Case-Based Reasoning Approach to Estimating the Strength of Sustainable Concrete. / Koo, Choongwan; Jin, Ruoyu; Li, Bo; Cha, Seung Hyun; Wanatowski, Dariusz.

In: Computers and Concrete, 30.07.2017.

Research output: Contribution to journalArticle

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T1 - Case-Based Reasoning Approach to Estimating the Strength of Sustainable Concrete

AU - Koo, Choongwan

AU - Jin, Ruoyu

AU - Li, Bo

AU - Cha, Seung Hyun

AU - Wanatowski, Dariusz

PY - 2017/7/30

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KW - Concrete 23 mixture design

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KW - Optimization process

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