A review study of application of artificial intelligence in construction management and composite beams

Cao Y. Zandi Y. Agdas A.S. Wang Q. Qian X. Fu L. Wakil K. Selmi A. Issakhov A. Roco-Videla A.
25 June 2021 Techno-Press

Steel and Composite Structures
2021 #39 Issue 6 685 - 700 pp.

This paper is aimed to review the use of artificial intelligence (AI) algorithms in diverse civil engineering applications such as predicting and evaluating the different parameters of composite beams and shear connectors and determining the compressive strength of concrete. Also, the application of AI methods especially artificial neural network (ANN) in construction engineering and management including prediction and estimation, decision-making, classification or selection, optimization and risk analysis and safety has been thoroughly discussed. Furthermore, the integration of Artificial Neural network (ANN) with other soft computing methods, such as Backpropagation (BP), imperialist competitive algorithm (ICA), support vector regression (SVR), back-propagation neural network (BPNN), Genetic Algorithms (GA) and Multilayer feed forward (MLFF) has been reviewed. It has been reported that the combination of ANN with other intelligence algorithms leads to providing more accurate results. Moreover, the performance of ANN with other soft computing techniques, such as BP, BPNN, SVR, GA, ICA, and MLFF in various fields has been compared and ANN in many cases had superiority over other models. Copyright

Artificial neural network , Building materials , Composite beams , Construction management , Soft computing

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School of Mechatronic Engineering, Xi’an Technological University, Xi’an, 710021, China
Department of Civil Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran
Ghateh Gostar Novin Company, Tabriz, Iran
Department of Computer, College of Science, University of Halabja, Kurdistan Region, Halabja, 46018, Iraq
Research Center, Sulaimani Polytechnic University, Kurdistan Region, Sulaimani, 46001, Iraq
Department of Civil Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia
Civil Engineering Laboratory, Ecole Nationale D’Ingénieurs deTunis (ENIT), B.P. 37, Lbelvédère1002, Tunis, Tunisia
Al-Farabi Kazakh National University, Almaty, Kazakhstan
Kazakh-British Technical University, Almaty, Kazakhstan
Programa Magister en Ciencias Químico-Biológicas, Facultad de Ciencias de la Salud, Universidad Bernardo O´Higgins, Santiago, Chile
Departamento de Ingeniería Civil, Facultad de Ingeniería, Universidad Católica de la Santísima Concepción, Concepción, Chile

School of Mechatronic Engineering
Department of Civil Engineering
Ghateh Gostar Novin Company
Department of Computer
Research Center
Department of Civil Engineering
Civil Engineering Laboratory
Al-Farabi Kazakh National University
Kazakh-British Technical University
Programa Magister en Ciencias Químico-Biológicas
Departamento de Ingeniería Civil

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