Summary: Methods for selecting ground motions for response history analysis, applicable to recorded and simulated motions.
Bradley BA, A generalized conditional intensity measure approach and holistic ground motion selection. Earthquake Engineering and Structural Dynamics, 2010, Vol 39 No. 12, pp 1321-1342. (PDF)(link)
Bradley BA. A ground motion selection algorithm based on the generalized conditional intensity measure. Soil Dynamics and Earthquake Engineering, 2012, Vol 40, pp. 48-61. (PDF) (link)
Tarbali K, Bradley BA. Ground motion selection for scenario ruptures using the generalized conditional intensity measure (GCIM) approach. Earthquake Engineering and Structural Dynamics. 2015, Vol 44, No 10, pp 1601-1622 (PDF) (link)
Tarbali K, Bradley BA. The effect of causal parameter bounds on PSHA-based ground motion selection. Earthquake Engineering and Structural Dynamics. 2016, Vol 45, No. 9, pp 1515-1535 (PDF) (link)
Tarbali K, Bradley BA, Baker JW. Consideration and propagation of epistemic uncertainties in ground motion selection to seismic performance metrics. Earthquake Spectra. 2018, Vol 34, No 2, pp. 587-610. doi.org/10.1193/061317EQS114M (PDF).
Tarbali K, Bradley BA, Baker JW. Ground motion selection in the near-fault region considering directivity effects. Earthquake Spectra. 2019. Vol. 35. No. 2. pp. 759-786. https://doi/pdf/10.1193/102517EQS223M. (PDF)
Bradley BA, Burks LS, Baker JW. Ground motion selection for simulation-based seismic hazard and structural reliability assessment. Earthquake Engineering and Structural Dynamics. 2015, Vol 44, No 13, pp 2321-2340 (PDF) (link)
Software:
The GCIM method has been implemented in several software to facilitate its application in practice, for example:
OpenSHA: https://opensha.org/ and https://github.com/opensha/opensha/wiki
Djura: Risk-data engineering: https://www.djura.it/blog/record-selector-cs