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Intensity Measure | Status | Notes |
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PGA/PGV/MMI | ||
pSA | Cython - works well | |
CAV | ||
AI | ||
Ds | Very Slow / unvectorised | |
Advanced IMs | Current implemented models: SAC_Steel_MF_9Story, SAC_Steel_MF_3Story, Steel_MF_5Story To be implemented models: | |
Taghavi and Miranda (TM05) | Proposed IM name is TM05_aX_cY_Ts_storeyL_calc X is alpha, Y is C, T is the period and I is the story specified. a = 0, 1.5, 5, 15, 30 c = 0.02, 0.05, 0.1 T = 0.1, 0.4, 0.7, 1.5, 3.0 calculations are disp_peak, slope_peak, storey_shear_peak, and total_accel_peak. In total there will be 3300 IMs calculated for a single waveform. This will be considered as an advanced IM. | |
Fourier Spectra | Added, vectorised, but quite slow | |
Directionality (via SA RotD100/RotD50) | https://slack-files.com/T0C0R97U5-FSBQH2RJB-5511f81cef – Boore NonGMmeasuresGMs_BSSA_2010 Added | |
Ratio of elastic spectra to inelastic spectra | Same paper as above Matlab scripts received from Jack Baker, inelastic script ported to python and validated against the matlab script.Waiting on test data to be available to verify. Integrated into the workflow, IM names are IESDR_{period} where the same periods for pSA are used. | |
period-to-period SA correlations | Future work (how do we validate with empirical) | |
Evolutionary IMs (Rezain et al 2015) (Evolution of intensity; Zero-level upcrossings, positive min & negative max) | (low priority; but noted here for completeness) |
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