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smt

The NGL Supported Modeling Team (SMT) members are Kristin J. Ulmer, Kenneth L. Hudson, Scott J. Brandenberg, Paolo Zimmaro, Steven L. Kramer, and Jonathan P. Stewart. We developed tools that process cone penetration test data, including inverse-filtering to remove thin layer effects following Boulanger and DeJong (2018), an agglomerative clustering algorithm by Hudson et al. (2024) to identify stratigraphic layers from inverse-filtered cone data, and a number of additional helper functions to compute soil behavior type index, overburden- and fines-corrected cone tip resistance, etc.

Installation

pip install ngl_tools

Functions

The Python code developed by the supported modeling team contains the following functions primary functions. These functions use helper functions documented on the corresponding wiki pages.

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. (2023) clustering algorithm to identify layers in CPT profile
smt_model(depth, qt, fs, amax, m, pa=101.325, **kwargs)	Computes probabilities of susceptibility, triggering, and manifestation. Ulmer et al. (2024)