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Augmented Lagrangian Digital Image Correlation and Tracking

version 4.2.1 (84.8 MB) by Jin Yang
2D-AL-DIC(Augmented Lagrangian DIC) is a fast, parallel-computing DIC algorithm which also considers global kinematic compatibility.

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Updated 06 Aug 2021

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Augmented Lagrangian Digital Image Correlation (2D_ALDIC)

AL-DIC(Augmented Lagrangian DIC) is a fast, parallel-computing hybrid DIC algorithm, which combines advantages of local subset DIC method (fast computation speed, and parallel computing) and finite-element-based global DIC method (guarantee global kinematic compatibility and decrease noise).

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Advantages of AL-DIC algorithm

  • [1] It’s a fast algorithm using distributed parallel computing.
  • [2] Global kinematic compatibility is added as a global constraint in the form of augmented Lagrangian, and solved using Alternating Direction Method of Multipliers scheme.
  • [3] Both displacement fields and affine deformation gradients are correlated at the same time.
  • [4] No need of much manual experience about choosing displacement smoothing filters.
  • [5] It works well with compressed DIC images and adaptive mesh. See our paper: Yang, J. & Bhattacharya, K. Exp Mech (2019). https://doi.org/10.1007/s11340-018-00459-y;
  • [6] Both accumulative and incremental DIC modes are implemented to deal with image sequences, which is especially quite useful for very large deformations.
  • [7] ALDIC application example -- uniaxial compression experiment: https://github.com/jyang526843/2D_ALDIC_v3/blob/master/Example_aldic_foam_compression_strain_eyy.gif
  • [8] ALDIC is extended with adaptive quadtree mesh to solve complex geometry. Some examples: https://uwmadison.box.com/s/4n5hmf04rzp4la96bt2rcjk4f6o5d5nf

Prerequisites & Installation

AL-DIC MATLAB code was tested on MATLAB versions later than R2018a. Both single thread and parallel computing features are included in AL-DIC code. Please download and unzip the code to the MATLAB working path. Then, execute the mail file: main_ALDIC.m.

Code manual

Full size code manual is available at: https://www.researchgate.net/publication/344796296_Augmented_Lagrangian_Digital_Image_Correlation_AL-DIC_Code_Manual

Code demo videos

ALDIC Matlab code demo: (Youtube) https://www.youtube.com/watch?v=JctudMfO-7w (Bilibili) https://www.bilibili.com/video/BV1hf4y1i7bK/

I also attach my EASF webinar to introduce AL-DIC/DVC algorithm and review other DIC/DVC methods: (Youtube) https://www.youtube.com/watch?v=-t61WrVagZ4 (Bilibili) https://www.bilibili.com/video/BV1ff4y1B71L/

Citation

Contact and support

Jin Yang (Caltech solid mechanics, PhD '19): jyang526@wisc.edu -or- aldicdvc@gmail.com I appreciate your comments and ratings to help me further improve this code. If you have other questions, feel free to email me.

Cite As

Yang, J. and Bhattacharya, K. Augmented Lagrangian Digital Image Correlation. Exp.Mech. 59: 187, 2018. https://doi.org/10.1007/s11340-018-00457-0.

Yang, Jin. Augmented Lagrangian Digital Image Correlation (2D_ALDIC). CaltechDATA, 2020, doi:10.22002/D1.1443.

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MATLAB Release Compatibility
Created with R2018b
Compatible with R2017b to R2020a
Platform Compatibility
Windows macOS Linux
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To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.