IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/5159497.html
   My bibliography  Save this article

The Comprehensive Assessment Method of Concrete Damage after Disastrous Fire Based on Game Theory-Normal Cloud Model

Author

Listed:
  • Zhongwei Gao
  • Donghui Ma
  • Xiaodong Guo
  • Wei Wang
  • Zhitao Wang

Abstract

Rapidly and correctly assessing the extent of the damage to a concrete structure after a disastrous fire has great engineering significance. In this paper, an assessment method is proposed based on the game theory-normal cloud model. The surface colors of concrete, exfoliation, cracks, and hammering responses are chosen as the comprehensive assessment indices of concrete damage after fire to establish the corresponding assessment criteria. The normal cloud generator is used to calculate the certainty degree of the grading assessment index of concrete damage after fire. By adopting game theory, the objective weight obtained by the information entropy method and the subjective weight obtained by precedence chart are combined into a comprehensive weight. The comprehensive certainty degree value of concrete damage after fire is then calculated by certainty and weight matrices. The project case analysis shows the assessment results are both intuitive and realistic. This method provides a new approach to the assessment of concrete damage after fire which is more efficient and easier to apply than existing methods.

Suggested Citation

  • Zhongwei Gao & Donghui Ma & Xiaodong Guo & Wei Wang & Zhitao Wang, 2019. "The Comprehensive Assessment Method of Concrete Damage after Disastrous Fire Based on Game Theory-Normal Cloud Model," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-9, February.
  • Handle: RePEc:hin:jnlmpe:5159497
    DOI: 10.1155/2019/5159497
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2019/5159497.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2019/5159497.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2019/5159497?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    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:hin:jnlmpe:5159497. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    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.