- September 18, 2020
- Posted by: RSIS Team
- Categories: IJRIAS, Mathematics
ernational Journal of Research and Innovation in Applied Science (IJRIAS) | Volume V, Issue III, January 2020 | ISSN 2454–6186
System Identification of Model Steel Bridge with Genetic Algorithms
Sertaç TUHTA1, Furkan GÜNDAY2, Hakan AYDIN3
1,2,3Department of Civil Engineering, Ondokuz Mayis University, Turkey
Abstract—Today, civil engineering structures suffer from dynamic effects. Earth on structures have been severely damaged by the earthquake. Thus, there has been loss of life and property. This has particularly affected countries located on active fault lines. Pre- and post-earthquake measures have been developed in world. For these reasons, it is necessary to determine the dynamic performance of structures around the world. There are various methods for determine the dynamic performance. System identification is one of these methods. Mathematical model of the structural system is obtained by system identification method. Genetic algorithms can be a system identification method. It is known as genetic algorithms, an algorithm for the mathematical projection of the natural, in other words, Genetic algorithms are a part of Artificial Intelligence. In this study, steel model bridge was used as test subject. MATLAB software is used. In this study, it is aimed to estimate the output of steel model bridge with genetic algorithms. As a result of study, it was observed that a nearly 99% compliance was achieved.SAE is %0.78548.In the light of all results, it is seen that genetic algorithms method will be useful in system identification method in civil engineering field.
Keywords—System Identification, Genetic Algorithms, ARX Model, Steel Bridge
