Update inverse analysis authored by Karen Daniels's avatar Karen Daniels
...@@ -2,7 +2,7 @@ Photoelatic image: inverse method analysis ...@@ -2,7 +2,7 @@ Photoelatic image: inverse method analysis
========================================== ==========================================
## 1. Overview ## 1. Overview
The inverse method analysis provides a quantitative estimation of the force network inside a granular media made in a photoelastic material. With such analysis, the contact force's magnitude and orientation can be determined under some assumptions. The main idea of the inverse method is to generate a numerical photoelastic picture that matches the experimental one like illustrated below (the experimental picture comes from [the Matlab implementation of the method](https://github.com/jekollmer/PEGS)). The inverse method analysis provides a quantitative estimation of the force network inside a granular media made in a photoelastic material. With such analysis, the contact force's magnitude and orientation can be determined under some assumptions. The main idea of the inverse method is to generate a numerical photoelastic picture that matches the experimental one like illustrated below (the experimental picture comes from [the Matlab implementation of the method](https://github.com/photoelasticity)).
![img](uploads/7e9d15a3fc844774cb987ea3fb530f0e/Force_measurement.svg){width=800px} ![img](uploads/7e9d15a3fc844774cb987ea3fb530f0e/Force_measurement.svg){width=800px}
...@@ -125,7 +125,7 @@ To improve the current result, it may be possible to manually provide some initi ...@@ -125,7 +125,7 @@ To improve the current result, it may be possible to manually provide some initi
### 4.1 Implementation ### 4.1 Implementation
Photo-elastic Grain Solver (PEGS): Photo-elastic Grain Solver (PEGS):
1. Matlab implementation: [Git project](https://github.com/jekollmer/PEGS) [1]. 1. Matlab implementation: [Git project](https://github.com/photoelasticity) [1].
2. Python implementation: [Git project](https://git.immc.ucl.ac.be/olantsoght/pegs_py) (based on [1]). 2. Python implementation: [Git project](https://git.immc.ucl.ac.be/olantsoght/pegs_py) (based on [1]).
... ...
......