mlsanityData to 14 Oct 2026

pyALDIC: A Python Implementation of Augmented Lagrangian Digital Image Correlation with a GUI, Adaptive Meshing, and Mask-Aware Subset Splitting

arXiv 2607.22755 ↗First posted 23 Jul 2026eess.IV cond-mat.mtrl-sci cs.CVcited by 0

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Abstract (arXiv)

pyALDIC is an open-source Python implementation of augmented Lagrangian digital image correlation (AL-DIC) for full-field displacement and strain measurement. The software combines a graphical user interface with a scriptable Python API and supports adaptive quadtree meshing, mask-aware subset splitting near cracks and holes, and selectable Local DIC and AL-DIC solver modes. Numba acceleration enables efficient analysis, while automated tests, documentation, and reproducible examples support reliable use acrossWindows, macOS, and Linux. Verification cases include synthetic displacement fields, rigid-body motion, Mode-I cracking, adaptive refinement, and experimental uniaxial tension. pyALDIC is distributed through PyPI, GitHub, and Zenodo under a BSD-3-Clause license for reproducibility. pyALDIC is openly available at https://github.com/zachtong/pyALDIC.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 7 of its 103 references that are in the map. First posted on arXiv 23 Jul 2026.

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References · 7

  1. 2020Unsupervised discovery of interpretable hyperelastic constitutive lawscited by 51
  2. 2022A Physics-Guided Neural Operator Learning Approach to Model Biological Tissues from Digital Image Correlation Measurementscited by 20
  3. 2023Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Reviewcited by 15
  4. 2025A comparative study of calibration techniques for finite strain elastoplasticity: Numerically-exact sensitivities for FEMU and VFMcited by 6
  5. 2024Inference of Heterogeneous Material Properties via Infinite-Dimensional Integrated DICcited by 4
  6. 2022SerialTrack: ScalE and Rotation Invariant Augmented Lagrangian Particle Trackingcited by 3
  7. 2026Full-Field Calibration of Coupled Thermomechanical Material Models at Finite Straincited by 1

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