دانلود مقاله ISI انگلیسی شماره 46284
عنوان فارسی مقاله

استفاده از منطق فازی در پیش بینی ضریب سلول جانبی برای ستون های RC پیچیده شده با CFRP

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
46284 2015 18 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Application of fuzzy logic approach in predicting the lateral confinement coefficient for RC columns wrapped with CFRP
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Engineering Structures, Volume 88, 1 April 2015, Pages 74–91

کلمات کلیدی
هوش مصنوعی - ستون بتن - الیاف و پلیمرهای تقویت شده - منطق فازی - ضریب سلول های جانبی
پیش نمایش مقاله
پیش نمایش مقاله استفاده از منطق فازی در پیش بینی ضریب سلول جانبی برای ستون های RC پیچیده شده با CFRP

چکیده انگلیسی

Worldwide ageing infrastructures which are vulnerable to seismic lateral loads and located in high seismicity regions have arrested the interest of many researchers to find alternative materials and techniques to strengthen in bending and shear, for example reinforced concrete (RC) beams, slabs, columns, etc. There are several strengthening/repair techniques and materials in literature. Although the method of strengthening concrete structures with fiber reinforced polymers (FRP) is a relatively new technique, it has existed for more than two decades. In this context, several confinement models have been developed for FRP-confined concrete for the prediction of stress–strain response and several researchers have developed various constitutive models to measure the increase in the axial strength of concrete due to the confinement effect of FRP laminates. In this study, RC columns wrapped with carbon FRP (CFRP) considering some existing confinement models in the literature have been investigated. Moreover, based on the experimental data set in the literature, a new artificial intelligence-based algorithm (a Mamdani-type fuzzy inference system) was implemented to model the strength enhancement of CFRP confined RC columns using fuzzy logic methodology. Fuzzy logic predicted results were compared with the outputs of a non-linear regression analysis-based exponential model derived in the scope of the present work. The best predictive performances of the models were assessed by means of various descriptive statistical indicators. The comparison of the proposed prognostic approach with existing empirical and experimental data exhibits a very good precision of the developed artificial intelligence-based model in predicting the lateral confinement coefficient in CFRP wrapped RC columns.

خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.