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Validation of finite‐element models using full‐field experimental data: Levelling finite‐element analysis data through a digital image correlation engine

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Stereo-DIC Calibration and Speckle Image Generator Based on FE Formulations
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DIC Challenge: Developing Images and Guidelines for Evaluating Accuracy and Resolution of 2D Analyses
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Parameter covariance and non-uniqueness in material model calibration using the Virtual Fields Method
inferredcites →https://doi.org/10.1016/j.compositesa.2016.03.026openalex-snapshot
Towards the design of a new standard for composite stiffness identification
inferredcites →https://doi.org/10.1016/j.ijsolstr.2011.02.010openalex-snapshot
Shape features and finite element model updating from full-field strain data
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Mode-shape recognition and finite element model updating using the Zernike moment descriptor
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Effect of DIC Spatial Resolution, Noise and Interpolation Error on Identification Results with the VFM
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Optimised Experimental Characterisation of Polymeric Foam Material Using DIC and the Virtual Fields Method
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The Grid Method for In‐plane Displacement and Strain Measurement: A Review and Analysis
inferredcites →https://doi.org/10.1111/str.12309openalex-snapshot
Investigation of assumptions and approximations in the virtual fields method for a viscoplastic material model
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An approach to the validation of computational solid mechanics models for strain analysis
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A Good Practices Guide for Digital Image Correlation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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