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A fractal derivative model for snow’s thermal insulation property
Author(s) -
Yan Wang,
Shao-Wen Yao,
Hongwei Yang
Publication year - 2019
Publication title -
thermal science/thermal science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.339
H-Index - 43
eISSN - 2334-7163
pISSN - 0354-9836
DOI - 10.2298/tsci1904351w
Subject(s) - snow , fractal , thermal insulation , thermal , materials science , porosity , property (philosophy) , derivative (finance) , simple (philosophy) , environmental science , meteorology , mechanics , composite material , mathematics , physics , mathematical analysis , philosophy , epistemology , layer (electronics) , financial economics , economics
Snow is of porous structure and good thermal insulation property. A fractal derivative model is established to reveal its thermal property, it is extremely high thermal-stable, the whole snow will not be affected much by the sudden environmental temperature change. A simple experiment is carried out to verify the theoretical finding, and the result is helpful to design advanced materials mimicking the snow structure.

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