Interaction Diagrams of Geopolymer FRC Slender Columns with Double-Layer Reinforcement_Dataset

The peer-reviewed data descriptor for this dataset has now been published in MDPI Data - an open-access journal aiming at enhancing data transparency and reusability, and can be accessed here: https://www.mdpi.com/2306-5729/6/5/43. Please use the following citation when using the dataset: AlHamaydeh, Mohammad, and Amin, Fouad. "Data for Interaction Diagrams of Geopolymer FRC Slender Columns with Double-Layer GFRP and Steel Reinforcement," Data, Vol. 6, No. 5, 2021, pp. 43-49. DOI:10.3390/data6050043.

This dataset provides the normalized axial load/bending moment capacities of circular concrete columns with and without fiber reinforcement. Different longitudinal and transverse reinforcement types are incorporated. Each data file represents a group of columns with specific reinforcement configurations. Within each file, the axial load/bending moment capacities are given for different reinforcement ratios, slenderness ratios, reinforcement strength levels, and loading eccentricities. The provided data could be used in the development of axial load bending moment interaction diagrams. Moreover, further processing of the data could be used for plotting the analytical strength curves of the analyzed columns.

Version v1: Assumes identical compressive and tensile strengths for the GFRP reinforcement. This assumption is made based on the lateral support provided by the concrete surrounding the reinforcement. 

Version v2: Assumes a more realistic assumption of the compressive strength being 80% of the tensile strength for the reinforcement. Selected supporting references:

[1]      ACI Committee 440. Guide for the Design and Construction of Structural Concrete Reinforced with FRP Bars, ACI 440.1R-15. vol. 88 Reappro. Farmington Hills, MI : American Concrete Institute: 2015.

[2]      Hadhood A, Mohamed HM, Benmokrane B. Flexural Stiffness of GFRP- and CFRP-RC Circular Members under Eccentric Loads Based on Experimental and Curvature Analysis. ACI Struct J 2018;115:1185–98. https://doi.org/10.14359/51702235.