Dataset supporting the analysis of rocking response for FEMA P695 ground motion records
Abstract
This dataset contains numerical results supporting the methodology presented in the associated journal article. The data are based on the 100 earthquake ground motion records included in the FEMA P695 report (Quantification of Building Seismic Performance Factors, U.S. Department of Homeland Security, FEMA, 2009).For each ground motion record, the overturning response of a slender rocking element with a slenderness ratio of $H/B = 12$ was evaluated using nonlinear time-history analysis. The resulting rocking response curves and the associated rocking parameters are provided. ContentsThe dataset includes:- Image files illustrating the overturning response of the rocking block for each individual record, together with the fitted rocking parameters ($t_\mathrm{I}$ and $t_\mathrm{M}$).- Tabulated data files containing:metadata of the ground motion records,the rocking parameters ($t_\mathrm{I}$ and $t_\mathrm{M}$) obtained from the block response,the corresponding rocking parameters computed directly from signal-based analysis of the same records.Intended useThe dataset is intended to support the proposed methodology for the characterization of rocking effects induced by earthquake excitations. The data are not intended to serve as a general-purpose ground motion database, but rather as supporting material for the interpretation and reproducibility of the presented results.Related publicationPlease refer to the associated journal article for the detailed description of the methodology, assumptions, and interpretation of the data.T Ther, L P Kollár, Towards physically justified, site-specific overturning acceleration response spectra, Engineering Structures, 2026 - under review
Fields of Study & Subjects
Seismic Performance and Analysis
Geotechnical Engineering and Underground Structures
Masonry and Concrete Structural Analysis
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 14 January 2026
- Language
- EN
- Document type
- Dataset