Displacement Spectra for Long Periods

By E. Faccioli, R. Paolucci, Julien Rey. 2004

175 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Geophysics

View Paper: https://www.semanticscholar.org/paper/d18673b3b747eded562839468e58537c585574bd

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. C. Cauzzi
2. E. Faccioli
3. S. Akkar
4. J. Bommer
5. Agathoklis Giaralis
6. Pol D. Spanos
7. A. Bianchini
8. M. Vanini

In Geophysics

1. C. Cauzzi
2. E. Faccioli
3. S. Akkar
4. J. Bommer
5. A. Bianchini
6. M. Vanini
7. Agathoklis Giaralis
8. Pol D. Spanos

Citations in the corpus

• Updated predictive equations for broadband (0.01–10 s) horizontal response spectra and peak ground motions, based on a global dataset of digital acceleration records (2015, methodology): “The dataset used in this study has been continuously compiled and processed starting from 2007, when the original investigations of Faccioli et al. (2004) on the behavior of displacement spectra at long periods were confirmed by a simple set of prediction equations by Faccioli et al. (2007) and…”
• Prediction of elastic displacement response spectra in Europe and the Middle East (2007, background): “[14] concluded that ‘the dependence on magnitude of the TD control period defining the beginning of the plateau of the elastic displacement spectrum should be carefully considered, especially for large magnitude earthquakes’.”
• Influence of long‐period filter cut‐off on elastic spectral displacements (2006, background): “For high-quality digital recordings it is noted that there is an option to simply apply baseline corrections instead of �ltering; this may not produce very reliable displacement time-histories but it can result nonetheless in usable response spectral ordinates up to periods of 10 or even 20 s [36, ”
• Broadband (0.05 to 20 s) prediction of displacement response spectra based on worldwide digital records (2008, methodology): “The experience gained in previous studies on DRS at long periods ( Faccioli et al. 2004 ) indicated at an early stage that crucial for the entire project was a tool for making reliable empirical predictions of horizontal and vertical, arbitrarily damped DRS, at periods from less than 1 s to more tha”
• Derivation of response spectrum compatible non-stationary stochastic processes relying on Monte Carlo-based peak factor estimation (2012, background): “Nevertheless, the response spectrum of the EC8 is characterized by a behavior in the range of long periods which captures better the physics of the underlying structural dynamics problem (e.g. Faccioli et al. 2004).”