skip to main content
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Adaptive reduction of constitutive model-form error using a posteriori error estimation techniques

Authors:
ORCiD logo [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:
1455219
Alternate Identifier(s):
OSTI ID: 1575936
Report Number(s):
SAND-2018-6265J
Journal ID: ISSN 0045-7825; 664255
Grant/Contract Number:  
AC04-94AL85000; NA0003525
Resource Type:
Accepted Manuscript
Journal Name:
Computer Methods in Applied Mechanics and Engineering
Additional Journal Information:
Journal Volume: 340; Journal ID: ISSN 0045-7825
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; a posteriori error estimation; Uncertainty quantification; Model-form error; Model adaptivity

Citation Formats

Bishop, Joseph E., and Brown, Judith Alice. Adaptive reduction of constitutive model-form error using a posteriori error estimation techniques. United States: N. p., 2018. Web. doi:10.1016/j.cma.2018.06.005.
Bishop, Joseph E., & Brown, Judith Alice. Adaptive reduction of constitutive model-form error using a posteriori error estimation techniques. United States. doi:10.1016/j.cma.2018.06.005.
Bishop, Joseph E., and Brown, Judith Alice. Fri . "Adaptive reduction of constitutive model-form error using a posteriori error estimation techniques". United States. doi:10.1016/j.cma.2018.06.005. https://www.osti.gov/servlets/purl/1455219.
@article{osti_1455219,
title = {Adaptive reduction of constitutive model-form error using a posteriori error estimation techniques},
author = {Bishop, Joseph E. and Brown, Judith Alice},
abstractNote = {},
doi = {10.1016/j.cma.2018.06.005},
journal = {Computer Methods in Applied Mechanics and Engineering},
number = ,
volume = 340,
place = {United States},
year = {2018},
month = {6}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Citation Metrics:
Cited by: 1 work
Citation information provided by
Web of Science

Figures / Tables:

Figure 1 Figure 1: Grain microstructure and crystallographic orientation of 304L stainless steel: (a) standard wrought material, (b) additively manufactured material using the LENS process. The microstructure was identified using electron backscatter diffraction (EBSD).

Save / Share: