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The supported modeling team developed a Python code that contains the following functions.
| function | description |
|---|---|
| cpt_inverse_filter(**kwargs) | Returns qt,inv, fs,inv, and Ic,inv |
This function implements the thin-layer correction algorithm by Boulanger and DeJong (2018) to inverse-filter cone penetration test data to account for the effects of layering on measured CPT resistance.
Boulanger, R.W. and DeJong, J.T. (2018). 'Inverse filtering procedure to correct cone penetration data for thin-layer and transition effects.' Cone Penetration Testing 2018 - Hicks, Pisano & Peuchen (Eds). 2018 Delft University of Technology, The Netherlands, ISBN 978-1-138-58449-5.
Description of cpt_inverse_filter command. Variables enclosed in <> are optional. If multiple variables are enclosed in <>, those variables either must all be excluded or all be included.