ARTIFICIAL NEURAL NETWORK BASED SYSTEM IDENTIFICATION USAGE FOR STEEL SHEDS

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SERTAC TUHTA
FURKAN GUNDAY

Abstract

Civil engineering structures have been adversely affected by dynamic effects from past to present. This has always been a problem for civil engineering. Civil engineers strive to design structures to be least affected by dynamic effects. The biggest challenge in these designs is the exact and realistic calculation of the effect of dynamic effects on the structure. There are various methods for calculating the dynamic effects affecting the structures. System identification method is one of the methods used to calculate the responses of the building to the dynamic effects affecting the buildings. On the other hand, today artificial intelligence is used in many areas as well as in system identification method. For these reasons, Artificial Neural Network (ANN) has been used in the system identification method in this study. The system definition was made with a success rate of approximately 0.99 using steel shed as an example model. As a result of this study, The Artificial Neural Network (ANN) approach can provide a very fast and true tool to solve problem in modal identification studies. The Artificial Neural Network (ANN) method can also be used to determine dynamic parameters of structures.

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How to Cite
SERTAC TUHTA, & FURKAN GUNDAY. (2021). ARTIFICIAL NEURAL NETWORK BASED SYSTEM IDENTIFICATION USAGE FOR STEEL SHEDS. International Journal of Innovations in Engineering Research and Technology, 7(10), 22–30. Retrieved from https://repo.ijiert.org/index.php/ijiert/article/view/87
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