Regression Based Analysis and Visualization of for Identifying Flexural Behaviour of M60 Beams under Repeated Compressive LOAD Based on Observational Data Sets

In this paper, we are focusing on exploring the impact of linear regression based statistical analysis of observed civil data sets that can be used to identify the eqation to improve the efficiency and effectiveness of future data collection and further refinement of activities in various civil engineering applications. The cutting edge technology in modern day construction emphasizes the quest for high strength concretes to ultra-high strength concretes. The high strength concretes are manufactured invariably by the selective addition of several mineral admixtures like silica fume, metakaoline, flyash, rice husk ash, ground granulated blast furnace slag, etc. The manifold applications of concrete desired to have a compressive strength ranging from 60 to 100 MPa has made a paradigm shift for the need of High Strength Concrete (M60) in the construction scenario. The present paper of this research work focuses on the flexural response of M60 beams under cyclic loading. We are taking the datasets of volume fraction and compressive strength of concrete as two independent variables to generate equation using linear regression. The data sets are gathered by means of perfoming real-time experiments. The experimental programme consisted of six M60 beams prepared by the addition of 8% silica fume at a constant water-cement ratio of 0.36 with different percentages of tension reinforcement and variation in spacing of shear reinforcement. All the beams are designed for under reinforced condition. The steel ratio is modified in terms of 1.0%, 1.25% and 1.5% and the shear reinforcement is spaced at 100 and 200 mm c/c combinations. The purpose of variation in tension steel ratio and shear reinforcement spacing is to find out the effect of confinement in strength, ductility and cracking. The test on beams is carried out under cyclic loading till failure to obtain the engineering performance and other associated properties. The test results indicated that there has been a wide range of enhancement in parameters like strength, deformation, ductility, and minimization of cracks and crack width. Also the experimental results are validated with the analytical model developed using regression analysis computed using Minitab software.