This work examines the variability of predicted responses when multiple stress-strain curves (reflecting variability from replicate material tests) are propagated through a transient dynamics finite element model of a ductile steel can being slowly crushed. An elastic-plastic constitutive model is employed in the large-deformation simulations. The present work assigns the same material to all the can parts: lids, walls, and weld. Time histories of 18 response quantities of interest (including displacements, stresses, strains, and calculated measures of material damage) at several locations on the can and various points in time are monitored in the simulations. Each response quantity’s behavior varies according to the particular stress-strain curves used for the materials in the model. We estimate response variability due to variability of the input material curves. When only a few stress-strain curves are available from material testing, response variance will usually be significantly underestimated. This is undesirable for many engineering purposes. This paper describes the can-crush model and simulations used to evaluate a simple classical statistical method, Tolerance Intervals (TIs), for effectively compensating for sparse stress-strain curve data in the can-crush problem. Using the simulation results presented here, the accuracy and reliability of the TI method are being evaluated on the highly nonlinear input-to-output response mappings and non-standard response distributions in the can-crush UQ problem.
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ASME 2016 International Mechanical Engineering Congress and Exposition
November 11–17, 2016
Phoenix, Arizona, USA
Conference Sponsors:
- ASME
ISBN:
978-0-7918-5063-3
PROCEEDINGS PAPER
Can-Crush Model and Simulations for Verifying Uncertainty Quantification Method for Sparse Stress-Strain Curve Data
J. F. Dempsey,
J. F. Dempsey
Sandia National Laboratories, Albuquerque, NM
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V. Romero,
V. Romero
Sandia National Laboratories, Albuquerque, NM
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N. Breivik,
N. Breivik
Sandia National Laboratories, Albuquerque, NM
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G. Orient,
G. Orient
Sandia National Laboratories, Albuquerque, NM
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B. Antoun,
B. Antoun
Sandia National Laboratories, Albuquerque, NM
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B. Schroeder,
B. Schroeder
Sandia National Laboratories, Albuquerque, NM
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J. Lewis,
J. Lewis
Sandia National Laboratories, Albuquerque, NM
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J. Winokur
J. Winokur
Sandia National Laboratories, Albuquerque, NM
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J. F. Dempsey
Sandia National Laboratories, Albuquerque, NM
V. Romero
Sandia National Laboratories, Albuquerque, NM
N. Breivik
Sandia National Laboratories, Albuquerque, NM
G. Orient
Sandia National Laboratories, Albuquerque, NM
B. Antoun
Sandia National Laboratories, Albuquerque, NM
B. Schroeder
Sandia National Laboratories, Albuquerque, NM
J. Lewis
Sandia National Laboratories, Albuquerque, NM
J. Winokur
Sandia National Laboratories, Albuquerque, NM
Paper No:
IMECE2016-65245, V009T12A005; 10 pages
Published Online:
February 8, 2017
Citation
Dempsey, JF, Romero, V, Breivik, N, Orient, G, Antoun, B, Schroeder, B, Lewis, J, & Winokur, J. "Can-Crush Model and Simulations for Verifying Uncertainty Quantification Method for Sparse Stress-Strain Curve Data." Proceedings of the ASME 2016 International Mechanical Engineering Congress and Exposition. Volume 9: Mechanics of Solids, Structures and Fluids; NDE, Diagnosis, and Prognosis. Phoenix, Arizona, USA. November 11–17, 2016. V009T12A005. ASME. https://doi.org/10.1115/IMECE2016-65245
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