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Title: Predicting 3D Motions from Single-Camera Optical Test Data

Abstract

In a typical optical test, a stereo camera pair is required to measure the three-dimensional motion of a test article; one camera typically only measures motions in the image plane of the camera, and measurements in the out-of-plane direction are missing. Finite element expansion techniques provide a path to estimate responses from a test at unmeasured degrees of freedom. Treating the case of a single camera as a measurement with unmeasured degrees of freedom, a finite element model is used to expand to the missing third dimension of the image data, allowing a full-field, three-dimensional measurement to be obtained from a set of images from a single camera. The key to this technique relies on the mapping of finite element deformations to image deformations, creating a set of mode shape images that are used to filter the response in the image into modal responses. These modal responses are then applied to the finite element model to estimate physical responses at all finite element model degrees of freedom. The mapping from finite element model to image is achieved using synthetic images produced by a rendering software. Finally, the technique is applied first to a synthetic deformation image, and then is validatedmore » using an experimental set of images.« less

Authors:
ORCiD logo [1];  [1];  [1]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1667405
Report Number(s):
SAND-2020-8808J
Journal ID: ISSN 0732-8818; 690141
Grant/Contract Number:  
AC04-94AL85000; NA0003525
Resource Type:
Accepted Manuscript
Journal Name:
Experimental Techniques
Additional Journal Information:
Journal Volume: 45; Journal Issue: 3; Journal ID: ISSN 0732-8818
Publisher:
Wiley
Country of Publication:
United States
Language:
English
Subject:
47 OTHER INSTRUMENTATION; optical; finite element expansion; synthetic images; structural dynamics

Citation Formats

Rohe, D. P., Witt, B. L., and Schoenherr, T. F.. Predicting 3D Motions from Single-Camera Optical Test Data. United States: N. p., 2020. Web. https://doi.org/10.1007/s40799-020-00391-8.
Rohe, D. P., Witt, B. L., & Schoenherr, T. F.. Predicting 3D Motions from Single-Camera Optical Test Data. United States. https://doi.org/10.1007/s40799-020-00391-8
Rohe, D. P., Witt, B. L., and Schoenherr, T. F.. Fri . "Predicting 3D Motions from Single-Camera Optical Test Data". United States. https://doi.org/10.1007/s40799-020-00391-8. https://www.osti.gov/servlets/purl/1667405.
@article{osti_1667405,
title = {Predicting 3D Motions from Single-Camera Optical Test Data},
author = {Rohe, D. P. and Witt, B. L. and Schoenherr, T. F.},
abstractNote = {In a typical optical test, a stereo camera pair is required to measure the three-dimensional motion of a test article; one camera typically only measures motions in the image plane of the camera, and measurements in the out-of-plane direction are missing. Finite element expansion techniques provide a path to estimate responses from a test at unmeasured degrees of freedom. Treating the case of a single camera as a measurement with unmeasured degrees of freedom, a finite element model is used to expand to the missing third dimension of the image data, allowing a full-field, three-dimensional measurement to be obtained from a set of images from a single camera. The key to this technique relies on the mapping of finite element deformations to image deformations, creating a set of mode shape images that are used to filter the response in the image into modal responses. These modal responses are then applied to the finite element model to estimate physical responses at all finite element model degrees of freedom. The mapping from finite element model to image is achieved using synthetic images produced by a rendering software. Finally, the technique is applied first to a synthetic deformation image, and then is validated using an experimental set of images.},
doi = {10.1007/s40799-020-00391-8},
journal = {Experimental Techniques},
number = 3,
volume = 45,
place = {United States},
year = {2020},
month = {9}
}

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