Quantifying the impact of material-model error on macroscale quantities-of-interest using multiscale a posteriori error-estimation techniques
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
An a posteriori error-estimation framework is introduced to quantify and reduce modeling errors resulting from approximating complex mesoscale material behavior with a simpler macroscale model. Such errors may be prevalent when modeling welds and additively manufactured structures, where spatial variations and material textures may be present in the microstructure. We consider a case where a <100> fiber texture develops in the longitudinal scanning direction of a weld. Transversely isotropic elastic properties are obtained through homogenization of a microstructural model with this texture and are considered the reference weld properties within the error-estimation framework. Conversely, isotropic elastic properties are considered approximate weld properties since they contain no representation of texture. Errors introduced by using isotropic material properties to represent a weld are assessed through a quantified error bound in the elastic regime. Lastly, an adaptive error reduction scheme is used to determine the optimal spatial variation of the isotropic weld properties to reduce the error bound.
- Research Organization:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- Grant/Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1326365
- Report Number(s):
- SAND-2016-5838J; applab; 642226
- Journal Information:
- MRS Advances, Journal Name: MRS Advances; ISSN 2059-8521
- Publisher:
- Materials Research Society (MRS)Copyright Statement
- Country of Publication:
- United States
- Language:
- English
Modeling mechanical behavior of an additively manufactured metal structure with local texture variations: a study on model form error
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journal | January 2019 |
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