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sjbrandenberg edited this page Dec 5, 2024
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Welcome to the ngl_tools wiki!
The supported modeling team developed a Python code that contains the following functions.
| function | description |
|---|---|
cpt_inverse_filter(qt, depth, **kwargs) |
Apply Boulanger and DeJong (2018) inverse filter to correct for thin layer effects |
cpt_layering(qc1Ncs, Ic, depth, **kwargs) |
Apply Hudson et al. (2024) clustering algorithm to identify layers in CPT profile |
get_pfs(Ic) |
Computes probability factor for liquefaction susceptibility |
get_pfts(csrm_hat, crr_hat) |
Computes probability factor for liquefaction triggering conditional on susceptibility |
get_pfmt(ztop, Ic) |
Computes probability factor for manifestation of a layer conditional on triggering of the layer |
get_pmp(pfmt, pfts, pfs, Ksat, t) |
Computes probability of manifestation at surface of profile |