دوره 11، شماره 3 - ( 6-1400 )                   جلد 11 شماره 3 صفحات 409-397 | برگشت به فهرست نسخه ها

XML English Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Dehghani H, Amiri Moghadam M, Mahdavi S H. OPTIMIZED FLOORING SYSTEMS SELECTION BY ANALYTIC HIERARCHY PROCESS. IJOCE 2021; 11 (3) :397-409
URL: http://ijoce.iust.ac.ir/article-1-481-fa.html
OPTIMIZED FLOORING SYSTEMS SELECTION BY ANALYTIC HIERARCHY PROCESS. عنوان نشریه. 1400; 11 (3) :397-409

URL: http://ijoce.iust.ac.ir/article-1-481-fa.html


چکیده:   (8381 مشاهده)
Selecting an appropriate flooring system is essential for structures. Flooring system design has traditionally focused on weight loss and minimizing costs. However, in recent years, the focus of this sector has changed to include improving the environmental performance of building materials and construction systems. This paper illustrates a knowledge-based expert system as a tool to assess of flooring systems such as block joisted (BJ), steel-concrete composite (SCC), composite steel deck (CSD) and concrete slab (CS) based on sustainability criteria that are further divided into twenty sub-criteria. Analytical hierarchy process (AHP) is utilized as a multi-criteria decision making technique that helps to compute weights and rankings of sustainability criteria. For this purpose, some questionnaires completed by construction industry experts in order to compare criterions and sub-criteria in addition to assessment of optimized flooring systems. Then, results of the questionnaires are ranked by AHP and the most significant alternative is selected. The AHP results indicate that CSD system 47.9%, CS; 29.8%, SCC; 12.7% and BJ system 9.6% are the most and the least efficient systems, respectively.
متن کامل [PDF 587 kb]   (4192 دریافت)    
نوع مطالعه: پژوهشي | موضوع مقاله: Optimal design
دریافت: 1400/6/4 | پذیرش: 1400/5/28 | انتشار: 1400/5/28

ارسال نظر درباره این مقاله : نام کاربری یا پست الکترونیک شما:
CAPTCHA

بازنشر اطلاعات
Creative Commons License این مقاله تحت شرایط Creative Commons Attribution-NonCommercial 4.0 International License قابل بازنشر است.

کلیه حقوق این وب سایت متعلق به دانشگاه علم و صنعت ایران می باشد.

طراحی و برنامه نویسی : یکتاوب افزار شرق

© 2024 CC BY-NC 4.0 | Iran University of Science & Technology

Designed & Developed by : Yektaweb