Natural Hazards Risk and Resiliency Research Center (NHR3)
NGA-Subduction
Duration Metrics
Dataset
R230609
Duration Metrics
Dataset
June 2023
Silvia Mazzoni[1], Tadahiro Kishida[2], Yousef Bozorgnia[3]
doi:10.34948/N3C886
Abstract
This dataset provides the Duration Metrics table for the NGA-Subduction records. Each record is identified by the NGAsubRSN key, which corresponds to the identical key in the NGA-Subduction Database (Bozorgnia et al. 2022). The structure and content of the NGA-Sub database is described in Mazzoni et al. (2021), and contributions related to source/path parameters and site parameters are presented in Contreras et al. (2021) and Ahdi et al. (2021), respectively. A comprehensive report on the database is presented by PEER (2020).
The Duration Metrics dataset contains, for each record component (H1,H2,V):
Total Arias Intensity
Time for 19 specified durations (5% … 100% of AI)
Duration for 19 specified durations (5%-10% … 5%-100% of AI)
Arias Intensity for 19 specified durations (5%-10% … 5%-100% of AI)
Arias Intensity, AA, was calculated using the following algorithm:
for ii=2:NP
AA(ii) = AA(ii-1)+(abs(A(ii))^2 + abs(A(ii-1))^2)*(T(ii)-T(ii-1))/2;
end
where A and T are the acceleration and time series vectors. The acceleration of the NGA time series is in units of g and the time is in units of seconds.
How to Cite this Dataset:
Silvia Mazzoni, Tadahiro Kishida, Yousef Bozorgnia (2023): NGA-Subduction Duration Metrics Dataset R230609. The B. John Garrick Institute for the Risk Sciences. Dataset. https://doi.org/10.34948/N3C886
[1] Project Scientist, UCLA, Civil and Environ. Eng., Los Angeles, CA, 90095. Email: smazzoni@g.ucla.edu
[2] Assistant Professor, Khalifa University of Science and Technology, Abu Dhabi, UAE. Email: tadahiro.kishida@ku.ac.ae
[3] Professor, UCLA, Civil and Environ. Eng., Los Angeles, CA, 90095. Email: yousefbozorgnia@g.ucla.edu
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