A Fuzzy Inference System in Constructional Engineering Projects to Evaluate the Design Codes for RC Buildings
محل انتشار: ژورنال مهندسی عمران، دوره: 4، شماره: 9
سال انتشار: 1397
نوع سند: مقاله ژورنالی
زبان: فارسی
مشاهده: 198
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شناسه ملی سند علمی:
JR_CEJ-4-9_008
تاریخ نمایه سازی: 28 آذر 1400
چکیده مقاله:
Economical design of a building is one of the main aims that should be followed because of its importance in constructional projects. In order to have an economical design, longitudinal reinforcing bars in the reinforced concrete members are among those parts of the structure that can be designed economically. The application of fuzzy inference systems provides an effective tools to handle the uncertainties and subjectivities arising in the designing process of buildings. Therefore, the main purpose of this paper is to propose a fuzzy inference system to evaluate the building design codes from an economical point of view. For this purpose, after designing the mentioned fuzzy inference system, three examples of three-dimensional concrete buildings are analysed and designed using different codes. For all these codes, the structural properties of concrete buildings, the gravity and the seismic loads are considered to be the same. Finally, it finds that the fuzzy logic theory is an effective and practical tool to compute a value that shows the distance between the designed building and the economically designed building. Also, it concludes that between the studied codes, (EUROCODE ۲-۱۹۹۲, Hong Kong CP-۰۴, CSA A۲۳.۳-۰۴ and ACI ۳۱۸-۰۵), the ACI ۳۱۸-۰۵ and Hong Kong CP۰۴ codes lead to a more economical design for taller buildings. For low-rise buildings, the CSA A۲۳.۳-۰۴ and ACI ۳۱۸-۰۵ codes lead to an economical design. Also, the EUROCODE ۲-۱۹۹۲ has a minimum value for the economical design of all the considered buildings.
کلیدواژه ها:
نویسندگان
Reza Kamgar
Department of Civil Engineering, Shahrekord University, Shahrekord, Iran
Seyed Morteza Hatefi
Department of Civil Engineering, Shahrekord University, Shahrekord, Iran
Noorollah Majidi
Department of Civil Engineering, Shahrekord University, Shahrekord, Iran