Data

Tools

Indexes

Applications

Experiments

Open Source Science

ngl_tools

A collection of tools developed by the Next Generation Liquefaction modelers.

https://github.com/sjbrandenberg/ngl_tools

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (7.7%) to scientific vocabulary

Keywords

cpt liquefaction python triggering
Last synced: 6 months ago · JSON representation ·

Repository

A collection of tools developed by the Next Generation Liquefaction modelers.

Basic Info
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 1
  • Open Issues: 0
  • Releases: 7
Topics
cpt liquefaction python triggering
Created almost 5 years ago · Last pushed 9 months ago
Metadata Files
Readme License Citation

README.md

ngl_tools

This is a collection of tools developed by the Next Generation Liquefaction modelers. The Next Generation Liquefaction project includes a relational database of liquefaction case histories from earthquakes around the world, which is accessible at https://nextgenerationliquefaction.org/. The project also includes efforts to develop models from the new data that is included in the database, and supporting studies that focus on knowledge gaps. This repository contains code that has been used by the NGL modeling teams to develop their models.

installation

pip install ngl_tools

smt

The NGL Supported Modeling Team (SMT) members are Kristin J. Ulmer, Kenneth L. Hudson, Scott J. Brandenberg, Jonathan P. Stewart, Paolo Zimmaro, and Steven L. Kramer. 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. Details of these codes can be found in the wiki associated with this repository.

Owner

  • Login: sjbrandenberg
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - family-names: "Hudson"
    given-names: "Kenneth L."
  - family-names: "Ulmer"
    given-names: "Kristin J."
  - family-names: "Brandenberg"
    given-names: "Scott J."
title: "Next Generation Liquefaction Software Tools, ngl_tools"
version: 0.0.2
identifiers:
  - type: doi
    value: 10.5281/zenodo.14004847
date-released: 2024-10-28

GitHub Events

Total
  • Release event: 8
  • Watch event: 4
  • Member event: 1
  • Push event: 103
  • Gollum event: 56
  • Create event: 10
Last Year
  • Release event: 8
  • Watch event: 4
  • Member event: 1
  • Push event: 103
  • Gollum event: 56
  • Create event: 10