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Shayanfar, Sajjad, Ghasemi Naghibdehi, Meysam, Shayanfar, Javad. (1405). Data-Driven Predictive Formulation for FRP-Confined Circular Concrete Columns. پژوهشنامه مدیریت اجرایی, (), -. doi: 10.22080/ceas.2026.30751.1060
Sajjad Shayanfar; Meysam Ghasemi Naghibdehi; Javad Shayanfar. "Data-Driven Predictive Formulation for FRP-Confined Circular Concrete Columns". پژوهشنامه مدیریت اجرایی, , , 1405, -. doi: 10.22080/ceas.2026.30751.1060
Shayanfar, Sajjad, Ghasemi Naghibdehi, Meysam, Shayanfar, Javad. (1405). 'Data-Driven Predictive Formulation for FRP-Confined Circular Concrete Columns', پژوهشنامه مدیریت اجرایی, (), pp. -. doi: 10.22080/ceas.2026.30751.1060
Shayanfar, Sajjad, Ghasemi Naghibdehi, Meysam, Shayanfar, Javad. Data-Driven Predictive Formulation for FRP-Confined Circular Concrete Columns. پژوهشنامه مدیریت اجرایی, 1405; (): -. doi: 10.22080/ceas.2026.30751.1060

Data-Driven Predictive Formulation for FRP-Confined Circular Concrete Columns

Civil Engineering and Applied Solutions
مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 06 فروردین 1405
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.22080/ceas.2026.30751.1060
نویسندگان
Sajjad Shayanfar1؛ Meysam Ghasemi Naghibdehi1؛ Javad Shayanfar* 2
1Department of Civil Engineering, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran
2Department of Civil Engineering, University of Minho, Azurém, Guimarães, Portugal
تاریخ دریافت: 19 آذر 1404،  تاریخ بازنگری: 16 دی 1404،  تاریخ پذیرش: 09 بهمن 1404 
چکیده
This study presents a new design-oriented, regression-based model for predicting the ultimate compressive strength of circular concrete columns confined with fiber-reinforced polymer (FRP) jackets. The model is grounded in fundamental confinement mechanics and accounts for key parameters, including FRP elastic modulus, ultimate tensile strain, confinement stiffness, unconfined concrete strength, and column diameter. A comprehensive and rigorously filtered experimental database comprising 1,376 FRP-confined circular concrete specimens was assembled, covering concrete strengths from 6.6 to 204 MPa and FRP types including CFRP, GFRP, BFRP, and AFRP. A carefully curated experimental database of 1,376 circular FRP-confined specimens was assembled, covering a broad spectrum of concrete strengths and FRP types. Regression analysis was used to calibrate the model, and a dimension-based correction factor was incorporated to capture the influence of cross-sectional geometry. The resulting formulation demonstrates robust predictive capability and general applicability across diverse concrete strengths and column geometries, providing a reliable tool for practical engineering design. Parametric studies further illustrate how confinement efficiency varies with concrete strength and FRP properties, offering guidance for optimizing FRP confinement in practice.
کلیدواژه‌ها
FRP confinement؛ Compressive strength؛ Predictive model؛ Design-oriented model؛ Confined concrete
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تعداد مشاهده مقاله: 44


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