Computational homogenization for heat conduction in heterogeneous solids
By İ. Özdemir, W. Brekelmans, Mgd Marc Geers. 2008
265 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Mechanics of Materials
View Paper: https://www.semanticscholar.org/paper/31598b4043dcc5f1c649ae96072e41512f428300
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- Mgd Marc Geers
- V. Kouznetsova
- Karel Matous
- Andrew Gillman
- Grégory Legrain
- Francisco Chinesta
- Raúl A. Feijóo
- Amine Ammar
In Mechanics of Materials
- E. A. Souza Neto
- P. Sánchez
- Pablo Javier Blanco
- Raúl A. Feijóo
- Mgd Marc Geers
- V. Kouznetsova
- Karel Matous
- Andrew Gillman
Citations in the corpus
- A review of predictive nonlinear theories for multiscale modeling of heterogeneous materials (2017, methodology): “thermal [131,138], thermo-mechanical [132], electro–magneto-mechanical [139–143], diffusion [144], liquid-phase sintering [145], and problems involving chemical couplings [146].”
- Variational Foundations and Generalized Unified Theory of RVE-Based Multiscale Models (2016, background): “For example, in [91,92,107,118] the problem is addressed under the hypothesis of scales separation, requiring the use of a uniform temperature field in the micro-scale mechanical problem.”
- Routes for Efficient Computational Homogenization of Nonlinear Materials Using the Proper Generalized Decompositions (2010, background): “So we can see that as in [36], the data of the macroscopic problem are composed with the macroscopic temperature and the gradient of temperature.”