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Does amplitude scaling of ground motion records result in biased nonlinear structural drift responses?
Author(s) -
Luco Nicolas,
Bazzurro Paolo
Publication year - 2007
Publication title -
earthquake engineering and structural dynamics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.218
H-Index - 127
eISSN - 1096-9845
pISSN - 0098-8847
DOI - 10.1002/eqe.695
Subject(s) - scaling , bin , amplitude , seismogram , nonlinear system , range (aeronautics) , ground motion , scale (ratio) , statistical physics , physics , mathematics , geodesy , algorithm , geology , geometry , seismology , engineering , optics , quantum mechanics , aerospace engineering
Limitations of the existing earthquake ground motion database lead to scaling of records to obtain seismograms consistent with a ground motion target for structural design and evaluation. In the engineering seismology community, acceptable limits for ‘legitimate’ scaling vary from one (no scaling allowed) to 10 or more. The concerns expressed by detractors of scaling are mostly based on the knowledge of, for example, differences in ground motion characteristics for different earthquake magnitude–distance ( M w – R close ) scenarios, and much less on their effects on structures. At the other end of the spectrum, proponents have demonstrated that scaling is not only legitimate but also useful for assessing structural response statistics for M w – R close scenarios. Their studies, however, have not investigated more recent purposes of scaling and have not always drawn conclusions for a wide spectrum of structural vibration periods and strengths. This articleinvestigates whether scaling of records randomly selected from an M w – R close bin (or range) to a target fundamental‐mode spectral acceleration ( S a ) level introduces bias in the expected nonlinear structural drift response of both single‐degree‐of‐freedom oscillators and one multi‐degree‐of‐freedom building. The bias is quantified relative to unscaled records from the target M w – R close bin that are ‘naturally’ at the target S a level. We consider scaling of records from the target M w – R close bin and from other M w – R close bins. The results demonstrate that scaling can indeed introduce a bias that, for the most part, can be explained by differences between the elastic response spectra of the scaled versus unscaled records. Copyright © 2007 John Wiley & Sons, Ltd.

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