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  • 标题:MODELING OF CONCRETE STRENGTH PREDICTION USING FUZZY TYPE-2 TECHNIQUES
  • 本地全文:下载
  • 作者:SHARIFAH SAKINAH SYED AHMAD ; ZURAINI OTHMAN ; FAUZIAH KASMIN
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2018
  • 卷号:96
  • 期号:23
  • 出版社:Journal of Theoretical and Applied
  • 摘要:The compressive strength of concrete is an important process in constructions arrangement and proportioning new mixtures which demonstrates its level of quality assurance. In this research, a concrete strength prediction model has been developed based on Fuzzy approach. This model will estimate the compressive strength of a concrete based on 1030 sample of ready-mix concrete based on its design mix constituents, namely cement, blast furnace slag, fly ash, water, superplasticizer, coarse aggregate, and age. Four different model are compared with each other using statistical performance. The experimental results show that Type-2 fuzzy model gives minimum errors for predicting compressive strength of concrete.
  • 关键词:Type-1 Fuzzy Model; Type-2 Fuzzy Model; Concrete Strength Prediction
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