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Finite Element Model Updating of a High Building based on the experimental modal parameters

 Finite Element Model Updating of a High Building based on the experimental modal parameters
Author(s): , , , ,
Presented at IABSE Symposium: Engineering for Progress, Nature and People, Madrid, Spain, 3-5 September 2014, published in , pp. 2844-2851
DOI: 10.2749/222137814814070352
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Ambient vibration testing is the most economical non-destructive testing method to acquire vibration data from large civil engineering structures. Using the modal identification techniques the mod...
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Bibliographic Details

Author(s):




Medium: conference paper
Language(s): English
Conference: IABSE Symposium: Engineering for Progress, Nature and People, Madrid, Spain, 3-5 September 2014
Published in:
Page(s): 2844-2851 Total no. of pages: 8
Page(s): 2844-2851
Total no. of pages: 8
Year: 2014
DOI: 10.2749/222137814814070352
Abstract:

Ambient vibration testing is the most economical non-destructive testing method to acquire vibration data from large civil engineering structures. Using the modal identification techniques the modal parameters can be determined which are effectively used as validation criteria in the context of finite element model updating to develop reliable finite element models of large engineering structures. These updated models will be useful both for predicting the dynamic behaviour and for assisting in the identification of structural damage.

In this paper, the finite element model updating of a case study (a twelve story reinforced concrete building) is presented. The modal identification results obtained from ambient vibration measurements of the building are the natural frequencies and the mode shapes of the first lateral and torsional modes which are the dynamic characteristics of interest of this study. The finite element model of the building is developed from the information provided in the design documentation. A sensitivity analysis is carried out to determine the most sensitive parameters for FE model. The updating is performed using the genetic algorithm. As results, a good correlation between measured and calculated modal parameters is obtained with parameters updated.

Keywords:
optimization genetic algorithm finite element updating modal system identification