Technical Papers
Jan 30, 2018

Orienting Ground Motion Inputs to Achieve Maximum Seismic Displacement Demands on Electricity Transmission Towers in Near-Fault Regions

Publication: Journal of Structural Engineering
Volume 144, Issue 4

Abstract

This investigation was focused on developing an approximate approach for properly orienting ground motion inputs to achieve the maximum displacement demands on electricity transmission towers in the near-fault regions. The approximate approach is based on the fundamentals of dynamics of structures and inspired by the classic response spectrum analysis (RSA) method. To validate the approximate approach, a prototype was identified and analyzed using two computer models with and without consideration of the interaction between the transmission towers and transmission lines. The parametric response history analyses (RHAs) using a set of pulse-type near-fault ground motion records were performed on both computer models to generate the reference data for assessing the adequacy of the approximate approach. Result comparisons show that the approximate approach remains valid for both computer models and can be used for future designs. Moreover, the analysis results demonstrate that the fault-normal (FN) direction cannot be used as a surrogate for the orientation of the ground motion components causing the maximum displacement demands on electricity transmission towers in the near-fault regions. Further, the analysis results from one computer model were used to illustrate the limitations of the current analysis strategy used in designs.

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Acknowledgments

This research was financially supported by the National Natural Science Foundation of China under Awards Nos. 51578325, 51578324, 51778347, and 51778348 and the Recruitment Program of Global Youth Expert. The corresponding author was also supported by the Tom and Lucia Chou Fund. The authors wish to acknowledge the sponsors. However, any opinions, findings, conclusions, and recommendations presented in this paper are those of the authors and do not necessarily reflect the views of the sponsors. Finally yet importantly, the authors wish to thank three anonymous reviewers for their careful evaluations and insightful comments that helped improve the paper.

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Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 144Issue 4April 2018

History

Received: Jan 10, 2017
Accepted: Oct 4, 2017
Published online: Jan 30, 2018
Published in print: Apr 1, 2018
Discussion open until: Jun 30, 2018

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Authors

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Li Tian
Associate Professor, School of Civil Engineering, Shandong Univ., Jinan, Shandong Province 250061, China.
Siyin Yi
Research Assistant, School of Civil Engineering, Shandong Univ., Jinan, Shandong Province 250061, China.
Bing Qu, M.ASCE [email protected]
P.E.
Professor in Residence, School of Civil Engineering, Shandong Univ., Jinan, Shandong Province 250061, China; Associate Professor, Dept. of Civil and Environmental Engineering, California Polytechnic State Univ., San Luis Obispo, CA 93407 (corresponding author). E-mail: [email protected]

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