IDEAS home Printed from https://ideas.repec.org/a/ibn/masjnl/v9y2015i8p140.html
   My bibliography  Save this article

Finite Component Approach for Modelling Entropy of Motor Road Pavements to Assess Their Efficiency

Author

Listed:
  • Mikhail Gennadjevich Goryachev

Abstract

In statistical physics, the irreversible processes are characterized by the same value as entropy. Entropy represents a measure of system disorder consisting of many components. Originally ordered systems in irreversible processes lose their order, so that the system entropy increases. Therefore, one can judge by the size of entropy about the degree of order in the system. This article gives a brief description of the new physical and mathematical solution taken as a basis of the model of entropy accumulation and defects development processes within the motor road pavements for the prognosis and evaluation of their operational integrity and durability.

Suggested Citation

  • Mikhail Gennadjevich Goryachev, 2015. "Finite Component Approach for Modelling Entropy of Motor Road Pavements to Assess Their Efficiency," Modern Applied Science, Canadian Center of Science and Education, vol. 9(8), pages 140-140, August.
    • Handle: RePEc:ibn:masjnl:v:9:y:2015:i:8:p:140
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/mas/article/download/51795/27798
    Download Restriction: no
    File URL: https://ccsenet.org/journal/index.php/mas/article/view/51795
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. C. G. Chakrabarti & Indranil Chakrabarty, 2005. "Shannon entropy: axiomatic characterization and application," International Journal of Mathematics and Mathematical Sciences, Hindawi, vol. 2005, pages 1-8, January.
    2. C. G. Chakrabarti & Kajal De, 2000. "Boltzmann-Gibbs entropy: axiomatic characterization and application," International Journal of Mathematics and Mathematical Sciences, Hindawi, vol. 23, pages 1-9, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhiyi Zhang, 2020. "Generalized Mutual Information," Stats, MDPI, vol. 3(2), pages 1-8, June.
    2. Jangho Yang, 2018. "Information Theoretic Approaches In Economics," Journal of Economic Surveys, Wiley Blackwell, vol. 32(3), pages 940-960, July.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:masjnl:v:9:y:2015:i:8:p:140. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.