Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/76119
Title: Multi-scale model updating of a transmission tower structure using Kriging meta-method
Authors: Wang, FY 
Xu, YL 
Zhan, S 
Keywords: Case study
Kriging meta-model
Multi-objective optimization
Multi-scale model
Multi-scale model updating
Transmission tower
Issue Date: 2017
Publisher: John Wiley & Sons
Source: Structural control and health monitoring, 2017, v. 24, no. 8, e1952 How to cite?
Journal: Structural control and health monitoring 
Abstract: A multi-scale model is often constructed using different finite elements and consists of a global scale model for the structural system and a few local scale models for critical structural components so that the multi-scale simulation can concurrently exhibit both global performance and local behavior of the structure. To ensure the multi-scale model can best represent the real structure, multi-scale model updating technique shall be developed accordingly. This paper thus presents a multi-scale model updating method for a transmission tower structure using the Kriging meta-model that actually is a surrogate for the multi-scale model. Firstly, the multi-scale model of a transmission tower is established by using beam elements to simulate global structure and solid elements to simulate local joints with bolt connections. Secondly, the multi-objective optimization problem that involves multiple objective functions is established to update key parameters of the multi-scale model so that the errors between the measured and predicted structural dynamic characteristics and multi-scale responses can be minimized. To improve the computational efficiency and accuracy of optimization, the Kriging meta-method is used to find the updated key parameters of the tower after a comparison with other meta-methods is made. Finally, the proposed method is applied to a physical transmission tower model, which has been tested in a laboratory, to demonstrate the feasibility and accuracy of the proposed model-updating method. The updated results show that the proposed updating method can improve the accuracy of the multi-scale model of the tower in both global and local structural responses.
URI: http://hdl.handle.net/10397/76119
ISSN: 1545-2255
EISSN: 1545-2263
DOI: 10.1002/stc.1952
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