1. Açık Erişim@BUU
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  3. Web of Science
Bu öğeden alıntı yapmak, öğeye bağlanmak için bu tanımlayıcıyı kullanınız: http://hdl.handle.net/11452/29163
Başlık: A crack identification approach for beam-like structures under moving vehicle using particle swarm optimization
Yazarlar: Uludağ Üniversitesi/Mühendislik Fakültesi/Makine Mühendisliği Bölümü.
0000-0003-3070-6365
Gökdaǧ, Hakan
F-3233-2016
23012197200
Anahtar kelimeler: Materials science
Damage detection
Convergence
Vibration
Algorithm
Cracks
Functions
Inverse problems
Numerical methods
Optimization
Beam-like structures
Beam-type structures
Crack identification
Moving vehicles
Noise interference
Objective functions
Optimization problems
Reasonable errors
Particle swarm optimization (PSO)
Yayın Tarihi: 2013
Yayıncı: Walter De Gruyter Gmbh
Atıf: Gökdağ, H. vd. (2013). "A crack identification approach for beam-like structures under moving vehicle using particle swarm optimization". Materials Testing, 55(2), 114-120.
Özet: A crack identification method for beam type structures under moving vehicle is proposed. The basic of the method is to formulate damage detection as an inverse problem, and solve for damage locations and extents. With respect to this, an objective function is defined based on the difference of damaged beam dynamic response and the response calculated by the mathematical model of the beam. The optimization problem is solved by the particle swarm optimization (PSO) with linearly increasing inertia weight to obtain crack locations and their depths. By the numerical simulations, it was observed that cracks with depth ratio of 0.1 can be identified with reasonable error by the present method in spite of noise interference of 3 %.
URI: https://dergipark.org.tr/tr/download/article-file/83570
http://hdl.handle.net/11452/29163
ISSN: 0025-5300
Koleksiyonlarda Görünür:Scopus
Web of Science

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