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discrete_sediment_body_modelling

Code repository for the paper "Stochastic 3D Modelling of Discrete Sediment Bodies for Geotechnical Applications" by G.H. Erharter, F. Tschuchnigg and G. Poscher

https://github.com/geograz/discrete_sediment_body_modelling

Science Score: 57.0%

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Keywords

finite-element-methods geological-models sedimentology slope-stability stochastic-modeling
Last synced: 6 months ago · JSON representation ·

Repository

Code repository for the paper "Stochastic 3D Modelling of Discrete Sediment Bodies for Geotechnical Applications" by G.H. Erharter, F. Tschuchnigg and G. Poscher

Basic Info
  • Host: GitHub
  • Owner: geograz
  • License: mit
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 8.96 MB
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Topics
finite-element-methods geological-models sedimentology slope-stability stochastic-modeling
Created about 5 years ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation

README.md

DiscreteSedimentBody_Modelling

This repository contains the codes for the paper:

Stochastic 3D Modelling of Discrete Sediment Bodies for Geotechnical Applications

by Georg H. Erharter, Franz Tschuchnigg and Gerhard Poscher

published in the Applied Computing and Geosciences (Vol. 11; September 2021)

DOI: https://doi.org/10.1016/j.acags.2021.100066

Use the sediment_generator.py Python code to generate your own sediment bodies as it is described in the paper.

Case study and exemplary discrete sediment body models

The folder case study contains .stl geometry / mesh files and is made up as follows: case study ├── Section_5_samples │ └── set1.stl │ └── set2.stl │ └── set3.stl ├── discrete_sediment_bodies.stl ├── slope_excavated.stl └── slope_unexcavated.stl

set1.stl, set2.stl, set3.stl are the exemplary discrete sediment body models as they are presented in section 5 of the publication and shown in figure 7

discrete_sediment_bodies.stl are the sediment bodies that were used for the FEM case study in section 6 and slope_excavated.stl and slope_unexcavated.stl are the geometries of the case study's slope before and after excavation.

Owner

  • Name: G. H. Erharter
  • Login: geograz
  • Kind: user
  • Location: Norway
  • Company: @norwegian-geotechnical-institute

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
author:
- family-names: "Erharter"
  given-names: "Georg H."
  orcid: "https://orcid.org/0000-0002-7793-9994"
title: "Code to the paper Stochastic 3D modelling of discrete sediment bodies for geotechnical applications"
version: 1.0.0
date-released: 2021-07-25
url: "https://github.com/geograz/Discrete_Sediment_Body_Modelling"
preferred-citation:
  type: article
  authors:
  - family-names: "Erharter"
    given-names: "Georg H."
    orcid: "https://orcid.org/0000-0002-7793-9994"
  - family-names: "Tschuchnigg"
    given-names: "Franz"
  - family-names: "Poscher"
    given-names: "Gerhard"
  doi: "https://doi.org/10.1016/j.acags.2021.100066"
  url: "https://www.sciencedirect.com/science/article/pii/S2590197421000148"
  journal: "Applied Computing and Geosciences"
  issn: "2590-1974"
  title: "Stochastic 3D modelling of discrete sediment bodies for geotechnical applications"
  volume: 11
  year: 2021
  keywords: "Geological 3D modelling, Discrete sediment bodies, Stochastic modelling, FE Analysis, Slope stability"

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Dependencies

environment.yaml pypi
  • open3d *