Benchmark analysis of synthetical images - (updated) source code and example DEM data
datacite.FundingReference.funderName | Deutsche Forschungsgemeinschaft | |
Contributing person | Herle, Ivo | |
Contributing person | Institut für Geotechnik | |
Documentation of the data | Data Processing: The image analysis scripts that are supplied are written on the basis of the image software spam -- find the link in the details. Methods: The data on fabric and its evolution were created with the discrete element software WooDEM (https://woodem.eu/). | |
References to related material | http://dx.doi.org/10.25532/OPARA-14 | |
Description of the data | - fabric data from DEM - scripts to turn DEM data to synthetic images - image analysis scripts to determine contact fabric from the images | |
Type of the data | Text | |
Type of the data | Model | |
Type of the data | Software | |
Total size of the dataset | 39753719 | |
Author | Wiebicke, Max | |
Upload date | 2019-03-27T14:43:04Z | |
Publication date | 2019-03-27T14:43:04Z | |
Publication date | 2026-05-18T14:28:25Z | |
Data of data creation | 2019 | |
Publication date | 2019-03-27 | |
Abstract of the dataset | A benchmark strategy for the experimental measurement of contact fabric(dem2kalisphera). This work develops a strategy to benchmark image analysis tools that can used for the determination of contact fabric from tomographic images. The discrete element method is used to create and load a reference specimen for which the fabric and its evolution is precisely known. Chosen states of this synthetic specimen are turned into realistic images taking into account inherent image properties, such as the partial volume effect, blur and noise. The application of the image analysis tools on these images validates the findings of the metrological study and highlights the importance of addressing the identified shortcomings, i.e., the systematical over-detection of contacts and the strong bias of orientations when using common watersheds. These files serve as the basis for a benchmark study on the image analysis to extract contact fabric from x-ray tomographies of granular materials. They are based on the python package "spam": The Software for the Practical Analysis of Materials -- that will soon be open source and installable via pip. For the moment (as of 2018-08-24), see: https://ttk.gricad-pages.univ-grenoble-alpes.fr/spam/intro.html#welcome-to-spam These files support the publication: A benchmark strategy for the experimental measurement of contact fabric | |
Public reference to this page | https://opara.zih.tu-dresden.de/handle/123456789/2331 | |
Public reference to this page | https://doi.org/10.25532/OPARA-26 | |
dc.language | eng | |
Publisher | Technische Universität Dresden | |
Licence | Attribution 4.0 International | |
URI of the licence text | http://creativecommons.org/licenses/by/4.0/ | |
Specification of the discipline(s) | 4 | |
Specification of the discipline(s) | 4::43::406 | |
Specification of the discipline(s) | 3::32 | |
Title of the dataset | Benchmark analysis of synthetical images - (updated) source code and example DEM data | |
Underlying research object | soil, granular matter | |
Software | spam (Version Unknown) | |
Software | WooDEM (Version Unknown) | |
Project abstract | DFG project number: 254872581 (follow-up of project HE2933/8-1) The majority of constitutive models, that are used nowadays to describe the behaviour of granular materials such as sands, are continuum models based on phenomenological approaches. In order to describe some of the phenomena occurring on the macroscopic scale, e.g. an abrupt change of stiffness due to a load reversal, these constitutive models use phenomenological state variables (e.g. back stress in elasto-plasticity or the intergranular strain concept for hypoplasticity) which often lack a clear physical meaning. The mechanisms that control the macroscopic behaviour and, as such, different phenomena, that can be observed on the continuum scale, must be sought at the grain-scale with the interactions of individual particles playing the key-role. X-Ray μ-computed tomography (CT) allows for a 3D imaging of natural soil samples in various loading conditions and is used in this project. In order to extract information on the structure of the granular material, different image analysis approaches can be used and their accuracy is evaluated with respect to the limited resolution. Mechanical experiments in the x-ray CT scanner have been carried out on natural sands in the running project. During a macroscopic loading the sand specimens were scanned using a laboratory x-ray scanner in order to assess the grain-scale behaviour in-situ and link it with the macroscopic observations. The evolution of the microstructure can be linked to the evolution of the phenomenological variables, e.g. the intergranular strain for hypoplasticity for changes in loading direction, leading to a possible micromechanical enhancement of these concepts. Establishing a link between micromechanical variables, such as the fabric tensors describing the stucture, and the macromechanical observations cannot only enhance our understanding of different phenomena occurring on the continuum scale, but also enable an incorporation of these effects into phenomenological approaches in a more straight-forward and reliable way. | |
Project title | DFG 2018-2020 - Micromechanical analysis of state variables for phenomenological constitutive models of soils (masvpcms) |
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