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Artificial Intelligence Methods and Their Applications in Civil Engineering

Artificial Intelligence Methods and Their Applications in Civil Engineering
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Author(s): Gonzalo Martínez-Barrera (Universidad Autónoma del Estado de México, Mexico), Osman Gencel (Bartin University, Turkey), Ahmet Beycioglu (Düzce University, Turkey), Serkan Subaşı (Düzce University, Turkey) and Nelly González-Rivas (Joint Center for Research in Sustainable Chemistry (CCIQS), Mexico)
Copyright: 2015
Pages: 24
Source title: Handbook of Research on Recent Developments in Materials Science and Corrosion Engineering Education
Source Author(s)/Editor(s): Hwee Ling Lim (The Petroleum Institute, UAE)
DOI: 10.4018/978-1-4666-8183-5.ch009

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Abstract

Simulation of material properties generally involves the development of a mathematical model derived from experimental data. In structural mechanics and construction materials contexts, recent experiments have reported that fuzzy logic (FL), artificial neural networks (ANNs), genetic algorithm (GA), and fuzzy genetic (FG) may offer a promising alternative. They are known as artificial intelligence (AI). In civil engineering, AI methods have been extensively used in the fields of civil engineering applications such as construction management, building materials, hydraulic, optimization, geotechnical and transportation engineering. Many studies have examined the applicability of AI methods to estimate concrete properties. This chapter described the principles of FL methods that can be taught to engineering students through MATLAB graphical user interface carried out in a postgraduate course on Applications of Artificial Intelligence in Engineering, discussed the application of Mamdani type in concrete technology and highlighted key studies related to the usability of FL in concrete technology.

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