Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Optimum Design of Reactive Powder Concrete Mixture Proportion Based on Artificial Neural and Harmony Search Algorithm
An optimum mixture proportion design method of reactive powder concrete (RPC) based on an artificial neural network (ANN) and harmony search (HS) algorithm was developed. ANNs were adopted to establish the relationship between design parameters (water-binder ratio, silica fume content, sand-binder ratio, and steel fiber content) and properties (compressive strength under standard curing and autoclaved curing, splitting tensile strength under autoclaved curing, and slump) of RPC, and the HS algorithm was used to design and optimize RPC mixture proportions with the objective criterion of minimum cost while meeting all property requirements. The proposed method can consider the influence of curing regimes, and its reliability was verified by experiment data.
Optimum Design of Reactive Powder Concrete Mixture Proportion Based on Artificial Neural and Harmony Search Algorithm
An optimum mixture proportion design method of reactive powder concrete (RPC) based on an artificial neural network (ANN) and harmony search (HS) algorithm was developed. ANNs were adopted to establish the relationship between design parameters (water-binder ratio, silica fume content, sand-binder ratio, and steel fiber content) and properties (compressive strength under standard curing and autoclaved curing, splitting tensile strength under autoclaved curing, and slump) of RPC, and the HS algorithm was used to design and optimize RPC mixture proportions with the objective criterion of minimum cost while meeting all property requirements. The proposed method can consider the influence of curing regimes, and its reliability was verified by experiment data.
Optimum Design of Reactive Powder Concrete Mixture Proportion Based on Artificial Neural and Harmony Search Algorithm
Ji, Tao (Autor:in) / Yang, Yu / Fu, Mao-yuan / Chen, Bao-chun / Wu, Hwai-Chung
ACI materials journal ; 114
2016
Aufsatz (Zeitschrift)
Englisch
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