Abstract
A novel approach is proposed for the modeling of uncertainties in finite element models of linear structural or thermal problems. This uncertainty is introduced at the level of each finite element by randomizing the corresponding elemental matrices (e.g., mass, stiffness, conductance) using the maximum entropy concept. The approach is characterized by only two parameters, one expressing the overall level of uncertainty while the other is the correlation length underlying the random elemental matrices. As it proceeds from the finite element mean model matrices, the modeling can be performed from finite element models constructed in commercial software. In fact, the approach is exemplified on a structural example developed within Nastran with the assembly of the random elemental matrices performed outside of this software.
| Original language | English (US) |
|---|---|
| Journal | Computational Mechanics |
| DOIs | |
| State | Published - Jan 1 2019 |
| Externally published | Yes |
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Keywords
- Linear finite element
- Maximum entropy
- Uncertainty modeling
ASJC Scopus subject areas
- Computational Mechanics
- Ocean Engineering
- Mechanical Engineering
- Computational Theory and Mathematics
- Computational Mathematics
- Applied Mathematics
Cite this
Maximum entropy-based uncertainty modeling at the elemental level in linear structural and thermal problems. / Song, Pengchao; Mignolet, Marc.
In: Computational Mechanics, 01.01.2019.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Maximum entropy-based uncertainty modeling at the elemental level in linear structural and thermal problems
AU - Song, Pengchao
AU - Mignolet, Marc
PY - 2019/1/1
Y1 - 2019/1/1
N2 - A novel approach is proposed for the modeling of uncertainties in finite element models of linear structural or thermal problems. This uncertainty is introduced at the level of each finite element by randomizing the corresponding elemental matrices (e.g., mass, stiffness, conductance) using the maximum entropy concept. The approach is characterized by only two parameters, one expressing the overall level of uncertainty while the other is the correlation length underlying the random elemental matrices. As it proceeds from the finite element mean model matrices, the modeling can be performed from finite element models constructed in commercial software. In fact, the approach is exemplified on a structural example developed within Nastran with the assembly of the random elemental matrices performed outside of this software.
AB - A novel approach is proposed for the modeling of uncertainties in finite element models of linear structural or thermal problems. This uncertainty is introduced at the level of each finite element by randomizing the corresponding elemental matrices (e.g., mass, stiffness, conductance) using the maximum entropy concept. The approach is characterized by only two parameters, one expressing the overall level of uncertainty while the other is the correlation length underlying the random elemental matrices. As it proceeds from the finite element mean model matrices, the modeling can be performed from finite element models constructed in commercial software. In fact, the approach is exemplified on a structural example developed within Nastran with the assembly of the random elemental matrices performed outside of this software.
KW - Linear finite element
KW - Maximum entropy
KW - Uncertainty modeling
UR - http://www.scopus.com/inward/record.url?scp=85067676685&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85067676685&partnerID=8YFLogxK
U2 - 10.1007/s00466-019-01734-y
DO - 10.1007/s00466-019-01734-y
M3 - Article
JO - Computational Mechanics
JF - Computational Mechanics
SN - 0178-7675
ER -