Predicting laser weld reliability with stochastic reduced-order models. Predicting laser weld reliability
Abstract
Summary Laser welds are prevalent in complex engineering systems and they frequently govern failure. The weld process often results in partial penetration of the base metals, leaving sharp crack‐like features with a high degree of variability in the geometry and material properties of the welded structure. Accurate finite element predictions of the structural reliability of components containing laser welds requires the analysis of a large number of finite element meshes with very fine spatial resolution, where each mesh has different geometry and/or material properties in the welded region to address variability. Traditional modeling approaches cannot be efficiently employed. To this end, a method is presented for constructing a surrogate model, based on stochastic reduced‐order models, and is proposed to represent the laser welds within the component. Here, the uncertainty in weld microstructure and geometry is captured by calibrating plasticity parameters to experimental observations of necking as, because of the ductility of the welds, necking – and thus peak load – plays the pivotal role in structural failure. The proposed method is exercised for a simplified verification problem and compared with the traditional Monte Carlo simulation with rather remarkable results. Copyright © 2015 John Wiley & Sons, Ltd.
- Authors:
-
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- Cornell Univ., Ithaca, NY (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:
- 1140327
- Alternate Identifier(s):
- OSTI ID: 1400915
- Report Number(s):
- SAND-2014-1043J
Journal ID: ISSN 0029-5981; 499015
- Grant/Contract Number:
- AC04-94AL85000
- Resource Type:
- Accepted Manuscript
- Journal Name:
- International Journal for Numerical Methods in Engineering
- Additional Journal Information:
- Journal Volume: 103; Journal Issue: 12; Related Information: Proposed for publication in International Journal of Solids and Structures.; Journal ID: ISSN 0029-5981
- Publisher:
- Wiley
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE; 42 ENGINEERING; laser welds; structural reliability; stochastic reduced-order models; monte carlo simulation
Citation Formats
Emery, John M., Field, Richard V., Foulk, James W., Karlson, Kyle N., and Grigoriu, Mircea D. Predicting laser weld reliability with stochastic reduced-order models. Predicting laser weld reliability. United States: N. p., 2015.
Web. doi:10.1002/nme.4935.
Emery, John M., Field, Richard V., Foulk, James W., Karlson, Kyle N., & Grigoriu, Mircea D. Predicting laser weld reliability with stochastic reduced-order models. Predicting laser weld reliability. United States. https://doi.org/10.1002/nme.4935
Emery, John M., Field, Richard V., Foulk, James W., Karlson, Kyle N., and Grigoriu, Mircea D. Tue .
"Predicting laser weld reliability with stochastic reduced-order models. Predicting laser weld reliability". United States. https://doi.org/10.1002/nme.4935. https://www.osti.gov/servlets/purl/1140327.
@article{osti_1140327,
title = {Predicting laser weld reliability with stochastic reduced-order models. Predicting laser weld reliability},
author = {Emery, John M. and Field, Richard V. and Foulk, James W. and Karlson, Kyle N. and Grigoriu, Mircea D.},
abstractNote = {Summary Laser welds are prevalent in complex engineering systems and they frequently govern failure. The weld process often results in partial penetration of the base metals, leaving sharp crack‐like features with a high degree of variability in the geometry and material properties of the welded structure. Accurate finite element predictions of the structural reliability of components containing laser welds requires the analysis of a large number of finite element meshes with very fine spatial resolution, where each mesh has different geometry and/or material properties in the welded region to address variability. Traditional modeling approaches cannot be efficiently employed. To this end, a method is presented for constructing a surrogate model, based on stochastic reduced‐order models, and is proposed to represent the laser welds within the component. Here, the uncertainty in weld microstructure and geometry is captured by calibrating plasticity parameters to experimental observations of necking as, because of the ductility of the welds, necking – and thus peak load – plays the pivotal role in structural failure. The proposed method is exercised for a simplified verification problem and compared with the traditional Monte Carlo simulation with rather remarkable results. Copyright © 2015 John Wiley & Sons, Ltd.},
doi = {10.1002/nme.4935},
journal = {International Journal for Numerical Methods in Engineering},
number = 12,
volume = 103,
place = {United States},
year = {Tue May 26 00:00:00 EDT 2015},
month = {Tue May 26 00:00:00 EDT 2015}
}
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- Johnson, Kyle L.; Emery, John M.; Hammetter, Chris I.
- International Journal of Fracture
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- International Journal of Fracture, Vol. 218, Issue 1-2