Technical Papers
May 31, 2019

Fragility Analysis of Transmission Line Subjected to Wind Loading

Publication: Journal of Performance of Constructed Facilities
Volume 33, Issue 4

Abstract

Neither structural properties nor wind loads are deterministic; accordingly, a fragility analysis of overhead transmission towers can be employed to comprehensively evaluate their strength capacity. Here, a fragility analysis method for a transmission line under wind loading is developed that incorporates the uncertainties of structural parameters and wind loads into a numerical model. First, a simplified model with one tower and two span lines is presented to improve calculation efficiency; this model is validated via a comparison with a complete tower-line system under both static and dynamic conditions. Then the fragility analysis process for transmission towers subjected to wind loading is presented in three main steps: development of uncertainty models and wind loadings, nonlinear dynamic analysis, and regression analysis. Afterwards, the random variables and their corresponding probability distributions are determined. Finally, a case study of a real operational transmission tower under wind loading is carried out. The results indicate that the consideration of a greater number of uncertainty parameters leads to a greater dispersion of the fragility curve and that the wind attack angle has a significant influence on the fragility curve.

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Acknowledgments

This research was supported by the National Natural Science Foundation of China (Grant Nos. 51708089, 51738007, and 51421064), the China Postdoctoral Science Foundation (Grant No. 2017M620101), and the Fundamental Research Funds for the Central Universities [Grant No. DUT19RC(4)021].

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Information & Authors

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Published In

Go to Journal of Performance of Constructed Facilities
Journal of Performance of Constructed Facilities
Volume 33Issue 4August 2019

History

Received: Sep 14, 2018
Accepted: Jan 4, 2019
Published online: May 31, 2019
Published in print: Aug 1, 2019
Discussion open until: Oct 31, 2019

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Xing Fu, Ph.D. [email protected]
State Key Laboratory of Coastal and Offshore Engineering, Dalian Univ. of Technology, Dalian 116023, China. Email: [email protected]
Hong-Nan Li, F.ASCE [email protected]
Professor, State Key Laboratory of Coastal and Offshore Engineering, Dalian Univ. of Technology, Dalian 116023, China; School of Civil Engineering, Shenyang Jianzhu Univ., Shenyang 110168, China. Email: [email protected]
Professor, School of Civil Engineering, Shandong Univ., Jinan, Shandong Province 250061, China (corresponding author). Email: [email protected]
Ph.D. Candidate, State Key Laboratory of Coastal and Offshore Engineering, Dalian Univ. of Technology, Dalian 116023, China. Email: [email protected]
Ph.D. Candidate, State Key Laboratory of Coastal and Offshore Engineering, Dalian Univ. of Technology, Dalian 116023, China. Email: [email protected]

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