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논문 기본 정보

자료유형
학술저널
저자정보
Wilson Ricardo Leal da Silva (Czech Technical University) Petr Štemberka (Czech Technical University)
저널정보
한국계산역학회 Computers and Concrete, An International Journal Computers and Concrete, An International Journal Vol.12 No.2
발행연도
2013.9
수록면
109 - 129 (21page)

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This work presents an approach to model concrete shrinkage. The goal is to permit the concrete industry’s experts to develop independent prediction models based on a reduced number of experimental data. The proposed approach combines fuzzy logic and genetic algorithm to optimize the fuzzy decision-making, thereby reducing data collection time. Such an approach was implemented for an experimental data set related to self-compacting concrete. The obtained prediction model was compared against published experimental data (not used in model development) and well-known shrinkage prediction models. The predicted results were verified by statistical analysis, which confirmed the reliability of the developed model. Although the range of application of the developed model is limited, the genetic-fuzzy approach introduced in this work proved suitable for adjusting the prediction model once additional training data are provided. This can be highly inviting for the concrete industry’s experts, since they would be able to fine-tune their models depending on the boundary conditions of their production processes.

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