Tortuosity / Connected Path Calculation for 3D Structures
Version 1.0.0.1 (22,8 KB) von
Ahmet Cecen
Tortuosity Distribution Calculation of 3D Materials Datasets
https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.938.8797&rep=rep1&type=pdf
Note: The code will attempt to automatically MEX a .cpp file.
The input "Alpha" is a 3D matrix where each voxel represents the tortuosity of that voxel (or the cost of traveling that voxel). For example, in the case where we have a literal 3D labyrinth consisting of perfectly solid walls and empty space, walls would be marked with '0' (impossible to pass) and empty space would be marked with '1'. If there was a road patch full of vines in there that would make it hard to walk, that would be marked by say '2' because it costs twice as much time/effort to pass through that voxel.
For a 3D matrix representing such a "labyrinth" Tort3D will attempt to reach to the top of the system by any means necessary, starting from every single voxel at the bottom surface. This will result in a distribution of tortuosity.
Zitieren als
Ahmet Cecen (2024). Tortuosity / Connected Path Calculation for 3D Structures (https://github.com/ahmetcecen/Tortuosity-MATLAB), GitHub. Abgerufen .
Kompatibilität der MATLAB-Version
Erstellt mit
R2014b
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS LinuxKategorien
Mehr zu Thermodynamics & Statistical Physics finden Sie in Help Center und MATLAB Answers
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Live Editor erkunden
Erstellen Sie Skripte mit Code, Ausgabe und formatiertem Text in einem einzigen ausführbaren Dokument.
Versionen, die den GitHub-Standardzweig verwenden, können nicht heruntergeladen werden
Version | Veröffentlicht | Versionshinweise | |
---|---|---|---|
1.0.0.1 | More description. |
|
|
1.0.0.0 | Fix Image |
|
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.