A fractal derivative model for snow’s thermal insulation property | Zendy

Yan Wang | Zendy; Shao-Wen Yao | Zendy; Hongwei Yang | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

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

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 , porosity , materials science , property (philosophy) , derivative (finance) , simple (philosophy) , environmental science , meteorology , 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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research