of Transportation, and the Pacific Gas & Electric. Company, U.S. Nuclear Regulatory Commission, U.S.. Geological Survey, U.S. Department of Energy, Electric.
Demonstration of PEER Record Processing Methodology PEER Next Generation of Attenuation Research Programs
ANCHETA, T. D., Risk Management Solutions; KOTTKE, A. R., Bechtel Corporation; KISHIDA, T., Pacific Earthquake Engineering Research Center; CHIOU, B. S. J., California Department of Transportation; DARRAGH, R. B., SILVA, W. J., Pacific Engineering and Analysis; GREGOR, N., Bechtel Corporation; GOULET, C. A., KTENIDOU, O., Pacific Earthquake Engineering Research Center.
Introduction During the NGA-West 2 and NGA-East projects the PEER processing methodology (Darragh et al. 2004; Chiou et al, 2008) has expanded to be an automated comprehensive record processing (removal of unwanted noise) and time series metric calculator. The full documentation and code are in development with plans for a public distribution. This is to continue the transparency as promised in NGA-West 2 and NGA-East and to aid in more consistent time series processing and metric calculations in the research and engineering community. A demonstration of the methodology is illustrated.
Record Processing Flowchart Read uncorrected acceleration time series Remove mean of the data
Window and taper the beginning and end of the data (do not cutoff predominant motion)
Automated window selection of phases
Add zero pads to the end of the data Select high-pass (HP) and low-pass (LP) acausal Butterworth filters for each component Select new HP and LP filter
Programs Utilized
Remove the zero pads
Main: R Sub: FORTRAN (as dll), 7zip
Compute displacement, D(t), by time domain integration. Fit a polynomial of order 6 to the displacement trace (with the coefficients for the zeroth and first order terms constrained to be 0)
List of readable formats: And many more non-standard formats for data from: Japan, Chile, Taiwan, Peru, Turkey, Mexico
Acceleration, velocity, and displacement time series
Apply instrument correction
Apply filter in frequency domain. Produce acceleration, A(t)
SAC ASCII, CSMIP, SMC, CALTECH, KIKNET, KNET, AUSTRAL, JMA, INEEL, K2, EVT, PARI, PEER, KEPCO, CESMD, COSMOS
Output: Fixed Formatted Text Files
For all components analyst selects: 1. Start of P-wave 2. Start of S-wave
Subtract the second derivative of polynomial from acceleration Integrate corrected A(t) to obtain velocity and D(t). Review Fourier Spectrum
No
D(t) acceptable ? Yes Compute PGA, PGV, PGD, and response spectra.
References Darragh R. B., W.J. Silva, and N. Gregor (2004). Strong motion record processing procedures for the PEER center, Proceedings of COSMOS Workshop on Strong-Motion Record Processing, Richmond, California, pp. 1–12. Chiou, B.S.-J., R.B. Darragh, N. Gregor, and W.J. Silva (2008). NGA project strong-motion database, Earthquake Spectra, 24(1):23–44. R Development Core Team, 2014, R: a language and environment for statistical computing, R Foundation for Statistical Computing, Vienna, Austria, http;//www.r-project.org, last accessed April, 2014.
Analyst selects fc and iterates fc until displacement waveform contains no obvious long period noise
Investigators:
Pseudo-acceleration response spectrum at multiple damping levels
Duration based Arias Intensity
Acknowledgments Final check on Pseudoresponse spectra REPEAT ON NEXT COMPONENT
This project was sponsored by the Pacific Earthquake Engineering Research Center (PEER) and funded by the California Earthquake Authority, California Department of Transportation, and the Pacific Gas & Electric Company, U.S. Nuclear Regulatory Commission, U.S. Geological Survey, U.S. Department of Energy, Electric Power Research Institute.
