Volume 40, Issue 2 (1-2022)                   2022, 40(2): 19-37 | Back to browse issues page


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Hosseinlou F. Simulation of Simplified Computational Model of Jacket Structure with Timoshenko Cantilever Beam and Experimental Signature. Computational Methods in Engineering 2022; 40 (2) :19-37
URL: http://jcme.iut.ac.ir/article-1-832-en.html
Department of Civil Engineering and Architecture, Shahid Chaman University of Ahvaz, Ahvaz, Iran , F.Hosseinlou@scu.ac.ir
Abstract:   (1047 Views)
Today many complex models, typically finite element models, have been employed in the analysis of jacket offshore structures. However, these comprehensive models are not readily adopted in engineering practice, especially during the preliminary design stage. As the dynamic analysis of jacket platforms is very complicated, it will be very advantageous to make a simplified computational method to assess dynamic performance of such structures. In this work a refined simplified model has been utilized to calculate dynamic responses of jacket platforms. In this regard, the model simplification based on the vibration modal data and Timoshenko’s beam equation has been employed to overcome the uncertainty problem in modeling. According to the curve fitting method on the set of frequency response functions to derive modal parameters, the concept of power spectrum density has been also used to confirm the proposed computational model.In this regard, first the behavior of the physical model in the frequency domainhas been presented and compared with the spectral results obtained from the simplified model based on Timoshenko beam. Because the modal test of the physical model was performed under the force of white noise, the dynamic responses of the simplified model were also extracted under the force of white noise using MATLAB software. In this paper, an applied mathematical model has been produced, and it has been demonstrated that the refined simplified model can reflect the real structural features.
Full-Text [PDF 1492 kb]   (262 Downloads)    
Type of Study: Research | Subject: Special
Received: 2020/03/17 | Accepted: 2021/04/7 | Published: 2022/01/30

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