Skip to content

Commit

Permalink
Update README.md
Browse files Browse the repository at this point in the history
  • Loading branch information
AlexLandauer authored Jan 31, 2024
1 parent 99f5473 commit 35394c4
Showing 1 changed file with 3 additions and 3 deletions.
6 changes: 3 additions & 3 deletions README.md
Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
# qDIC-based Strain Localization Analysis with Wavelets (Q-SLAW)

## Description and Purpose
This dataset is an archival version of an algorithm implementation for strain localization analysis in digital image correlation data. The original application is to detect the occurrence of localization (i.e., collective buckling, hotspots, etc.) in uniaxial stress testing of polymer foams instrumented with 2D digital image correlation. The full-field strain maps are processed with a Marr wavelet and regions of excess strain are identified. These are used to compute an overall localization intensity factor with units of strain, which quantifies the degree of excess strain in localization regions above the nominal background. A Monte Carlo-like (MC) simulation mode is included in the scripts to provide performance validation for the metric under procedurally generated fields with known localization. It is set up for using input data specifically from qDIC (https://github.com/FranckLab/qDIC) but could be straightforwardly adapted to other DIC output data. A run-script with example data from mechanical testing of an open-cell elastomeric foam is included.
This repository contains algorithm implmented in Matlab for strain localization analysis in digital image correlation data. The original application is to detect the occurrence of localization (i.e., collective buckling, hotspots, etc.) in uniaxial stress testing of polymer foams instrumented with 2D digital image correlation. The full-field strain maps are processed with a Marr wavelet and regions of excess strain are identified. These are used to compute an overall localization intensity factor with units of strain, which quantifies the degree of excess strain in localization regions above the nominal background. A Monte Carlo-like (MC) simulation mode is included in the scripts to provide performance validation for the metric under procedurally generated fields with known localization. It is set up for using input data specifically from qDIC (https://github.com/FranckLab/qDIC) but could be straightforwardly adapted to other DIC output data. A run-script with example data from mechanical testing of an open-cell elastomeric foam is included.

## Content and dependancies

Expand Down Expand Up @@ -42,7 +42,7 @@ Briefly, the major steps are as follows:
4. Save output, visualize results.

## Other links
For the data used in the development and calibration of the model see: <add data doi here>.
For the data used in the development and calibration of the model see the related manuscript and associated data. The archival version of the initial release is available at: https://data.nist.gov/od/id/mds2-3141.

The initial publication this is develop for is: J Tao**, AK Landauer∗∗, Z Yan∗∗, X Li, C Franck, DL Henann "Large-deformation constitutive modeling of viscoelastic foams: Application to a open-cell foam material" (In preperation)

Expand All @@ -68,4 +68,4 @@ You are solely responsible for determining the appropriateness of using and dist
### Disclaimers
Certain commercial equipment, instruments, or materials are identified in this paper in order to specify the experimental procedure adequately. Such identification is not intended to imply recommendation or endorsement by NIST, nor is it intended to imply that the materials or equipment identified are necessarily the best available for the purpose.

The opinions, recommendations, findings, and conclusions in the manuscript do not necessarily reflect the views or policies of NIST or the United States Government.
The opinions, recommendations, findings, and conclusions in the manuscript do not necessarily reflect the views or policies of NIST or the United States Government.

0 comments on commit 35394c4

Please sign in to comment.