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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Applications of Computational Intelligence in Behavior Simulation of Concrete Materials
verfasst von : Amir Hossein Gandomi, Amir Hossein Alavi
Erschienen in: Computational Optimization and Applications in Engineering and Industry
Verlag: Springer Berlin Heidelberg
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The application of Computational Intelligence (CI) to structural engineering design problems is relatively new. This chapter presents the use of the CI techniques, and specifically Genetic Programming (GP) and Artificial Neural Network (ANN) techniques, in behavior modeling of concrete materials. We first introduce two main branches of GP, namely Tree-based Genetic Programming (TGP) and Linear Genetic Programming (LGP), and two variants of ANNs, called Multi Layer Perceptron (MLP) and Radial Basis Function (RBF). The simulation capabilities of these techniques are further demonstrated by applying them to two conventional concrete material cases. The first case is simulation of concrete compressive strength using mix properties and the second problem is prediction of elastic modulus of concrete using its compressive strength.