The primitive focus of this research work is about the artificial intelligence methods engaged for creating an outlook for flexural strength of High Strength Hybrid Fiber Self Compacted Concrete (HSHFSCC), which is considered to be a special concrete in order to tackle both workability and durability without disturbing the strength of the concrete. It possesses not only the good deformability during fresh state but also put forward high aversion to segregation resulting in superior homogeneity and increase in productivity by altering the period of construction. While incorporating various fibers like glass, steel, carbon, synthetic, and quartz powder in plain concrete, directs in the enhancement of post-cracking, toughness, ductility and limits the detrimental effect of shrinkage. The current work is classified into two stages. 1) Development of HSHFSCC and High Strength Self Compacting Concrete (HSSCC). 2) Engaging different Machine Learning (ML) models to divide the obtained information into Train, Test and Validation followed by 19 types of different ML regression models accompanied with Artificial Neural Network for engaging the function to appropriate the flexural strength of HSHFSCC and HSSCC. The boundary conditions discussed as input includes Setting time, percentage of quartz and river sand. Total 25 number of datasets are used for 5-fold cross validations by adopting MATLAB ML and Deep learning toolkit and Python is adopted to validate the optimized models. The evaluation factors like R-square and Root mean square show a great level of accuracy and reliability of the model.

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From the stage of quarrying the raw materials to the completion of project has resulted in stripping of earth for the use of exhaustible resources and has caused an adverse effect on the nature. This has resulted in an acute shortage of fine as well as coarse aggregates, obligating to explore the replacement for these materials without compromising the quality, environmental and economic factors. In recent years, almost every mineral producing country is facing the problem of better utilization of mine waste because of its accumulation and lack of suitable storage space. In the present study Iron Ore Tailings (IOT) procured from Kudremukh Lakya Dam site (KIOCL Ltd.) are used as partial replacement to fine aggregates at levels of 10, 20,30,40,50 percent and the basic material properties, strength parameters are studied. It is found that as the IOT percentage increases in the mix workability is reduced. At 40percent replacement level the 28days compressive strength is more than the reference mix and other replacement percentage mixes. Flexural strength is observed maximum for reference mix. Quality of concrete mixes is found good from Ultrasound Pulse Velocity test). Flexural fatigue analysis is carried out on mix with 40percent IOT replacement at stress ratios 0.65, 0.7 and 0.75 compared with IRC model for number of repetitions using log normal distribution. Up to 0.7 stress ratio it showed more number of repetitions than IRC and at higher stress ratio mix with IOT achieved failure earlier.

The present paper is an attempt to explore the durability properties of ternary blended geopolymer concrete incorporating fly ash, GGBS, wollastonite as appendage of strength parameters. The Large scale production of cement is triggering environmental problems. This has made the researchers to prefer supplementary cementatious material in fabricating concrete. Fly ash [1], GGBS is a waste material produced by industries used as binder material to way towards the waste utilization. Wollastonite, a naturally occurring mineral can be exploited in geopolymer concrete as a partial replacement of fly ash. G40 grade of geopolymer concrete is used in this study and mix design was built accordingly by replacing fly ash by the combinations of wollastonite and GGBS with suitable alkaline solution and Superplasticizer. A constant 50% of fly ash was used for all the mixes and rest 50% with the combinations of 15%, 35%; 25%, 25%; 35%, 15% of wollastonite and GGBS respectively .In this present experimental work durability tests (mass loss tests) like resistance to sulphate attack, chloride attack; sorptivity, abrasion resistance were explored for plain mix and optimal mix, which was extracted from previous experimental work of compressive strength properties of ternary blended geopolymer concrete.

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