On Pads and Filters: Processing Strong-Motion Data

By D. Boore. 2005

228 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Environmental Engineering, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/906011bcd5e1cafe396f918a34daea2ad8af2c4f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. N. Abrahamson
2. C. Cauzzi
3. D. Boore
4. J. Bommer
5. E. Faccioli
6. Agathoklis Giaralis
7. Pol D. Spanos
8. Jennie A. Watson-Lamprey

In Environmental Engineering

1. Agathoklis Giaralis
2. Pol D. Spanos
3. C. Cauzzi
4. E. Faccioli
5. J. Bommer
6. N. Abrahamson

In Statistical and Nonlinear Physics

1. Agathoklis Giaralis
2. Pol D. Spanos
3. C. Cauzzi
4. E. Faccioli
5. J. Bommer

Citations in the corpus

• Processing of strong-motion accelerograms: needs, options and consequences (2005, background): “In such cases, the data can be described as incompatible [15,31,32]; compatible data mean that the velocity and displacement time-histories and the response spectra obtained from the accelerations will match those provided.”
• Stochastic model for simulation of near‐fault ground motions (2017, unknown): “This is carried out to ensure compatibility of the various computed measures (see [55, 56]).”
• Orientation-Independent Measures of Ground Motion (2006, background): “…by forming the geometric mean of the response spectra for each horizontal component (e.g., Abra- hamson and Shedlock, 1997), sometimes with a correction of the standard deviation of the predicted motions to approximate a randomly chosen component of ground motion (Boore et al., 1997; Boore, 2005a).”
• Wavelet-based response spectrum compatible synthesis of accelerograms—Eurocode application (EC8) (2009, methodology): “Appropriate zero padding before the initiation and at the end of the accelerograms is performed before applying the anti-causal filter [40].”
• Broadband (0.05 to 20 s) prediction of displacement response spectra based on worldwide digital records (2008, methodology): “Specifically, we applied fourth-order acausal filters, with cut-off frequency fc=0.05 Hz, to reduce the influence of the filter cut-off on the usable frequency range of strong motion records (see Boore 2005; Boore and Bommer 2005).”