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Title: Plasticity models of material variability based on uncertainty quantification techniques

Abstract

The advent of fabrication techniques like additive manufacturing has focused attention on the considerable variability of material response due to defects and other micro-structural aspects. This variability motivates the development of an enhanced design methodology that incorporates inherent material variability to provide robust predictions of performance. In this work, we develop plasticity models capable of representing the distribution of mechanical responses observed in experiments using traditional plasticity models of the mean response and recently developed uncertainty quantification (UQ) techniques. Lastly, we demonstrate that the new method provides predictive realizations that are superior to more traditional ones, and how these UQ techniques can be used in model selection and assessing the quality of calibrated physical parameters.

Authors:
 [1];  [1];  [2];  [1];  [1]
  1. Sandia National Lab. (SNL-CA), Livermore, CA (United States)
  2. 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:
1429679
Report Number(s):
SAND-2017-12030J
658486
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Program Document
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE

Citation Formats

Jones, Reese E., Rizzi, Francesco, Boyce, Brad, Templeton, Jeremy Alan, and Ostien, Jakob. Plasticity models of material variability based on uncertainty quantification techniques. United States: N. p., 2017. Web.
Jones, Reese E., Rizzi, Francesco, Boyce, Brad, Templeton, Jeremy Alan, & Ostien, Jakob. Plasticity models of material variability based on uncertainty quantification techniques. United States.
Jones, Reese E., Rizzi, Francesco, Boyce, Brad, Templeton, Jeremy Alan, and Ostien, Jakob. Wed . "Plasticity models of material variability based on uncertainty quantification techniques". United States. doi:.
@article{osti_1429679,
title = {Plasticity models of material variability based on uncertainty quantification techniques},
author = {Jones, Reese E. and Rizzi, Francesco and Boyce, Brad and Templeton, Jeremy Alan and Ostien, Jakob},
abstractNote = {The advent of fabrication techniques like additive manufacturing has focused attention on the considerable variability of material response due to defects and other micro-structural aspects. This variability motivates the development of an enhanced design methodology that incorporates inherent material variability to provide robust predictions of performance. In this work, we develop plasticity models capable of representing the distribution of mechanical responses observed in experiments using traditional plasticity models of the mean response and recently developed uncertainty quantification (UQ) techniques. Lastly, we demonstrate that the new method provides predictive realizations that are superior to more traditional ones, and how these UQ techniques can be used in model selection and assessing the quality of calibrated physical parameters.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Nov 01 00:00:00 EDT 2017},
month = {Wed Nov 01 00:00:00 EDT 2017}
}

Program Document:
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