Artificial Intelligence in Concrete Mixture Design: A State-of-the-Art report

被引：0

作者：

Octavio Gonzalez-Salcedo, Luis ^{[1
]}

Patricia Guerrero-Zuniga, Aydee ^{[2
]}

Delvasto-Arjona, Silvio ^{[3
]}

机构：

[1] Univ Nacl Colombia Sede Palmira, Grp Invest Mat & Medio Ambiente, Dept Ingn, Fac Ingn & Adm, Palmira, Colombia

[2] Univ Valle, Grp Invest Ingn Sism Ingn Eol & Estruct Intel, Escuela Ingn Civil & Geomat, Fac Ingn, Cali, Colombia

[3] Univ Valle, Grp Mat Compuestos, Escuela Ingn Mat, Fac Ingn, Cali, Colombia

来源：

CUADERNO ACTIVA | 2012年 / 04期

关键词：

Evolutionary algorithms; fiber-reinforced concrete; concrete mixture design; artificial intelligence; artificial neural networks;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper shows the manifold efforts in applying Artificial Intelligence techniques for predicting some properties of concrete, both in its fresh and hardened state. The State-of-the- Art shows an important use of Artificial Neural Networks and Evolutionary Algorithms, which are applied on the prediction of properties, optimization, raw material proportioning, quality control, and validations of models. Finally, advances on the fiber-reinforced-concrete mix-design are reviewed.

引用

页码：55 / 65

页数：11

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