May 9, 2016

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Clinton Carlson Published in Earthquake Spectra

Clinton Carlson (Georgia) co-authored an article entitled "Predictive Equations to Quantify the Impact of Spectral Matching on Ground Motion Characteristics" in Earthquake Spectra, Volume 32, Issue 1, pages 125-142, February 2016.

Clinton addresses spectral matching, the process of modifying a seed acceleration time history in intensity and frequency content until its acceleration response spectrum matches a target spectrum, is used extensively in practice. Predictive equations that quantify the impact of spectral matching on the peak ground velocity, peak ground displacement, Arias intensity, and cumulative absolute velocity of a scaled seed time history have been developed and validated on the basis of thousands of matched motions, three different earthquake scenarios, and numerous target spectra. It is found that spectral mismatch is the most critical factor affecting the changes in ground motion characteristics. The technique used for modification (e.g., time domain or frequency domain) is in many cases not critical. Based on the results, recommendations in order to minimize the impact of matching on the ground motion characteristics are provided.

This paper covers a portion of his Ph.D. work at the University of Michigan.


More Information

For more information regarding the article, please visit: Earthquake Spectra
For more information on Predictive Equations, contact Clinton Carlson at This email address is being protected from spambots. You need JavaScript enabled to view it..