Quantitative prediction of effective conductivity in anisotropic heterogeneous media using two-point correlation functions.
Journal Article
·
· Computational Materials Science, 38(1):45-50
Statistical continuum approach is used to predict effective conductivity of anisotropic random porous heterogeneous media using two-point correction functions. Probability functions play a critical role in describing the statistical distribution of different constituents in a heterogeneous media. In this study a three-dimensional two-point correlation function is utilized to characterize the anisotropic media without making any assumption on the microstructure. Examples in this study demonstrated how the model captured the anisotropy in effective conductivity of the randome heterogeneous media. Predicted results showed the influence of microstructure of the effective conductivity tensor.
- Research Organization:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- 895163
- Report Number(s):
- PNNL-SA-52400; AA2530000; TRN: US200702%%527
- Journal Information:
- Computational Materials Science, 38(1):45-50, Journal Name: Computational Materials Science, 38(1):45-50
- Country of Publication:
- United States
- Language:
- English
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