ANN Application in the Field of Structural Concrete

Artificial Intelligence (AI) mechanisms are more and more frequently applied to all sorts of civil engineering problems. New methods and algorithms which allow civil engineers to use these techniques in a different way on diverse problems are available or being made available. One AI techniques stands out over the rest: Artificial Neural Networks (ANN). Their most remarkable traits are their ability to learn, the possibility of generalization and their tolerance towards mistakes. These characteristics make their use viable and cost-efficient in any field in general, and in Structural Engineering in particular. The most extended construction material nowadays is concrete, mainly because of its high resistance and its adaptability to formwork during its fabrication process. Along this chapter we will find different applications of ANNs to structural concrete.

[1]  Muhammad N. S Hadi Neural networks applications in concrete structures , 2003 .

[2]  Vijay Kumar Mago,et al.  Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies , 2011 .

[3]  Antoni Cladera,et al.  Shear design procedure for reinforced normal and high-strength concrete beams using artificial neural networks. Part II: beams with stirrups , 2004 .

[4]  W. Pitts,et al.  A Logical Calculus of the Ideas Immanent in Nervous Activity (1943) , 2021, Ideas That Created the Future.

[5]  M. A. Bhatti,et al.  Predicting the compressive strength and slump of high strength concrete using neural network , 2006 .

[6]  Kin Meng Sam,et al.  Ontology-Based Shopping Agent for E-Marketing , 2010, Int. J. Intell. Inf. Technol..

[7]  Alejandro Pazos Sierra,et al.  Encyclopedia of Artificial Intelligence , 2008 .

[8]  V. Sugumaran The Inaugural Issue of the International Journal of Intelligent Information Technologies , 2005 .

[9]  Ankush Mittal,et al.  Bayesian Network Technologies: Applications and Graphical Models , 2007 .

[10]  Vincent Colapietro,et al.  Ubiquitous Mediation and Critical Interventions: Reflections on the Function of Signs and the Purposes of Peirce's Semeiotic , 2011, Int. J. Signs Semiot. Syst..

[11]  Tor Guimaraes,et al.  Using Agent Technology for Company Knowledge Management , 2005, Inf. Resour. Manag. J..

[12]  Vijayan Sugumaran Intelligent Information Technologies: Concepts, Methodologies, Tools and Applications , 2007 .

[13]  Ankush Mittal,et al.  Bayesian Network Modeling of Transcription Factor Binding Sites: A Tutorial , 2007 .

[14]  David M. Himmelblau,et al.  Process control via artificial neural networks and reinforcement learning , 1992 .