Temperature field prediction for various porous media considering variable boundary conditions using deep learning method

Author:

Wang Mou,Wang Hui,Yin Ying,Rahardja Susanto,Qu Zhiguo

Funder

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Condensed Matter Physics,General Chemical Engineering,Atomic and Molecular Physics, and Optics

Reference46 articles.

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3. Improved predictions of thermal fluid pressurization in hydro-thermal models based on consistent incorporation of thermo-mechanical effects in anisotropic porous media;Buchwalda;Int. J. Heat Mass Transf.,2021

4. Effective thermal conductivity of sintered porous media: model and experimental validation;Florez;Int. J. Heat Mass Transf.,2013

5. An effective thermal conductivity model of rocks considering variable saturation and pore structure: theoretical modelling and experimental validations;Yuan;International Communications in Heat and Mass Transfer,2021

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