Effect of Causality Filters of Accelerograms on Low-Rise Structure Responses
Publication: Practice Periodical on Structural Design and Construction
Volume 27, Issue 1
Abstract
Because output accelerographs always contain noise, to use data in analysis and design of structures, there is a need for rational correction of raw data. These corrections include baseline correction, instrument correction, and filtration practices. In this paper, a 1-story steel moment frame and 3-story steel moment frame as benchmark have been used to study the effect of causal and acausal filtration. Accelerogram records have been used from five stations in successive earthquakes of Ahar-Varzaghan on August 11, 2012, and six stations that recorded the Sarpole-Zahab earthquake on November 12, 2017, for incremental dynamic analysis (IDA). The results show that the behavior of the representative structures by process of correction with causal and acausal filters in the elastic region, are roughly similar. Also the IDA summary curves show that the structures is subjected to higher intensity in acausal filters than in causal ones, so causal filtration in nonlinear analysis of low-rise structures seems to have more conservative responses in comparison with acausal one, not more than 15%.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
The authors acknowledge the Building and Housing Research Center of Iran for providing them with the accelerograms and shear-wave velocities used in the current study.
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Published In
Practice Periodical on Structural Design and Construction
Volume 27 • Issue 1 • February 2022
Copyright
© 2021 American Society of Civil Engineers.
History
Received: Feb 13, 2021
Accepted: Jul 23, 2021
Published online: Sep 22, 2021
Published in print: Feb 1, 2022
Discussion open until: Feb 22, 2022
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