Influence of Air-Classified and Wet-Classified Manufactured Sand on Self-Compacting Concrete Exposed to Severe Environmental Conditions Anitha J., Ravi Kumar H., Subramanya K. G. Civil Engineering and Architecture, 2025 The demand for the ingredients used in producing concrete is growing exponentially with the construction industry growing in faster than ever speed. Due to this increasing consumption of construction materials, there is a sharp rise in the depletion of these resources. One of the ingredients that is depleting fast globally is the natural river sand and this has driven the construction industry on a quest for other alternative options as a source for fine aggregate. Manufactured sand has shown remarkable results in conventional concrete and it is being currently used in many parts of India as a replacement for natural river sand. The manufacturing of M-sand is a multi-step process including crushing, screening and classification. Classification is the final step in the process which helps in getting the desired particle size distribution and removes excess fines. There are two different classification methods used in the process, air classification and wet classification. The air classification process, utilizing air classifiers, efficiently removes excess fines without the need for water, making it a more advanced and sustainable method. In contrast, wet classification relies heavily on significant water consumption to eliminate fines, leading to excessive water usage. Adopting air classification aligns with principles of the circular economy by reducing water dependency and promoting resource conservation. This research investigates the effect of using air classified manufactured sand and wet classified manufactured sand as a replacement to natural river sand in medium strength self-compacting concrete. A total of 450 cubical specimens of 150mm x 150mm x 150mm and 90 cylindrical specimens of 150mm diameter and 300mm height have been cast and used for various studies in this experimental work. The test results show that the air classified manufactured sand performs better than wet classified manufactured sand and both of them out perform natural river sand when used in medium strength self-compacting concrete.
Impact of manufactured sand grading method on durability of self-compacting concrete , Anitha J., Ravi Kumar H., and Research on Engineering Structures and Materials, 2025 This study examines the impact of different grading methods for manufactured sand (M-sand) on the mechanical and durability characteristics of self-compacting concrete (SCC). A detailed experimental program was designed to assess the mechanical and durability properties of SCC containing M-sand processed through two different grading techniques, air-graded M-sand (AGMS) and wet-graded M-sand (WGMS) in comparison with river sand (RS). AGMS & WGMS are used to replace RS in the proportion of 0%, 25%, 50%, 75% & 100%, and the mechanical and durability properties of the concrete have been evaluated. The findings reveal that the grading method has a notable influence on SCC performance. This study also examined the relationship between various durability properties like RCPT, water absorption and porosity using MATLAB. It was observed that AGMS and WGMS increased the compressive strength of M20 SCC by 29% and 14%, respectively. In M40 and M70 mixes, AGMS led to 14% and 13% increase, while WGMS resulted in 9% and 4%. Tensile strength improved by 26%, 25%, and 28% with AGMS, and 22%, 13%, and 26% with WGMS in M20, M40, and M70 mixes, respectively. The M70 grade SCC with AGMS shows the highest resistance to acid attack with 2.54% and 5.50 % weight loss and 3.41% and 6.59 % strength loss for 2% and 5% dilution respectively. The M20 grade SCC with RS shows the least resistance to sulphate attack with 4.43% weight loss and 10.85 % strength loss, while M70 grade SCC with AGMS shows the highest resistance to sulphate attack with 1.06% weight loss and 1.66 % strength loss. Across all SCC grades, AGMS reduced water absorption, porosity, permeability, and charge passed by 40%, 37%, 36%, and 33%, respectively, while WGMS achieved reductions of 20%, 18%, 31%, and 21%, relative to RS. This research concludes that the appropriate selection and grading of M-sand are critical to achieving high-strength, durable SCC.
Study on Predicting Axial Load Capacity of CFST Columns H. Ravi Kumar, K. U. Muthu, N. S. Kumar Journal of the Institution of Engineers India Series A, 2018 This work presents an analytical study and experimental study on the behaviour and ultimate load carrying capacity of axially compressed self-compacting concrete-filled steel tubular columns. Results of tests conducted by various researchers on 213 samples concrete-filled steel tubular columns are reported and present authors experimental data are reported. Two theoretical equations were derived for the prediction of the ultimate axial load strength of concrete-filled steel tubular columns. The results from prediction were compared with the experimental data. Validation to the experimental results was made.
RECENT SCHOLAR PUBLICATIONS
“Comparison of water quality index methods for groundwater quality assessment,” S. Mustapure, HR Kumar Proc. Int. Conf. on Computational Intelligence and Smart Systems in Civil … , 2026 2026
Morphometrical Analysis and Groundwater Management in Chikkaballapur District, Karnataka,” S. Mustapure, HR Kumar Proc. 1st National Conf. on Artificial Intelligence and Machine Learning for … , 2026 2026
Comparison of water quality index methods for groundwater quality assessment S. Mustapure, H. Ravi Kumar, S. Shivanna, K. V. R. Prasad, KV Sumith Proc. Int. Conf. on Computational Intelligence and Smart Systems in Civil … , 2026 2026
Influence of Air-Classified and Wet-Classified Manufactured Sand on Self-Compacting Concrete Exposed to Severe Environmental Conditions J Anitha, R Kumar H, S K. G Civil Engineering and Architecture 13 (4), 3207 - 3219 , 2025 2025
COMPARATIVE STUDIES ON MULTI-STORIED RC BUILDING AND STEEL BUILDING SUBJECTED TO BLAST LOADING KN Vishwanath, MK Harikeerthan, R Kumar, KVR Prasad, S JM International Journal of Innovation Studies 9 (1), 328-344 , 2025 2025
Impact of manufactured sand grading method on durability of self-compacting concrete J Anitha, R Kumar H 2025 Citations: 1
Comprehensive Statistical Analysis and Assessment of Groundwater Quality of Chikkaballapur Taluk, Karnataka SMHR Kumar Proc. AICTE Sponsored Two Day National Conf. on Innovations, Challenges and … , 2025 2025
Research on predicting axial load capacity of concrete filled steel tubular columns based on support vector machine method HR Kumar, NS Kumar AIP Conference Proceedings 2399 (1), 030011 , 2023 2023 Citations: 1
Evaluation of Groundwater Quality by Using Water Quality Index in Chikkaballapur District, Karnataka S Mustupure, Shivanna S, H Ravi Kumar Proc., of 1st International Conference on Science and Technology(ICSET-2023 … , 2023 2023
REVIEW : SMA POTENTIAL AND LIMITATIONS IN CONSTRUCTION S Pradeepa, J Anitha, D Shivanna S, D Ravi Kumar H Journal of Emerging Technologies and Innovative Research 10 (8), d748-d751 , 2023 2023
Study of Behaviour of Flexural and Shear Strength of RC Beam using Welded Wire Mesh S Harsha, G Keshav, G Yadav Kiran Gowda, C Vikas, DR Kumar H National Conference on Recent Multidiscliplinary Research in Civil Engineering , 2023 2023
Evaluation Of Groundwater Quality Using Remote Sensing And Gis: A Case Study S Shivanna, V DR, N Sriram Mustapure, H Ravikumar, KVR Prasad Tuijin Jishu/Journal of Propulsion Technology 44 (5), 1065-1072 , 2023 2023
Experimental Study on effect of Introducing Bacteria into Self-Healing Concrete H Ravi Kumar, J Anitha, S Pradeepa, NT Selvi Journal of Emerging Technologies and Innovative Research 10 (1), ppd810-d814 , 2023 2023
Sustainable Paver Block using Waste Plastic and Construction Demolition Waste NT Selvi, J Anitha, S Pradeepa, H Ravikumar, N Ramya Journal of Emerging Technologies and Innovative Research 9 (11), c740-c745 , 2022 2022
Evaluation of Mechanical Behavior of Concrete with Recycled Aggregate and Silica Fume J Anitha, HR Kumar, S Pradeepa, NT Selvi, N Ramya Journal of Emerging Technologies and Innovative Research 9 (11), c335-c340 , 2022 2022
Bacteria Based Self-Healing Concrete RB S B, P Gowda N., A S R., N P D., Kumar H., Dr. Ravi Kumar H, ... Innovation in Engineering and Technology , 2022 2022
Proposals and Remedial Measures to Decongest Yelahanka Police Station Junction KVR Prasad, H Ravi Kumar INTERNATIONAL JOURNAL OF ADVANCED RESEARCH TRENDS IN ENGINEERING AND … , 2022 2022
Design of Roof top Rainwater Harvesting in Suggata Village – Bangalore North H Ravi Kumar, S Shivanna, J Anitha, DR Vyshnavi, S Pradeepa International Journal of Advanced Research Trends in Engineering and … , 2021 2021
INVESTIGATION OF IRON ORE TAILINGS IN PRODUCTION OF MASONRY BLOCKS J Anitha, S Pradeepa, NT Selvi, N Ramya, H Ravi Kumar International Journal of Emerging Technology And Advanced Engineering 8 (9 … , 2021 2021
EXTERIOR INSULATION AND FINISHING SYSTEMS H Ravi Kumar, S Pradeepa, KVR Prasad, J Anitha, NT Selvi Journal of Emerging Technologies and Innovative Research 8 (9), b277-b280 , 2021 2021
MOST CITED SCHOLAR PUBLICATIONS
Study on Predicting Axial Load Capacity of CFST Columns H Ravi Kumar, KU Muthu, NS Kumar Journal of The Institution of Engineers (India): Series A 99 (1), 133-140 , 2018 2018 Citations: 7
Recycled materials in concrete industry TR Naik, R Kumar University of Wisconsin, Milwaukee , 2003 2003 Citations: 6
Prediction of Deflection of Reinforced Concrete Beams using Machine Learning Tools S Preetham, H Ravi Kumar, WP Prema Kumar, M Shivaraj International Journal of Engineering Research & Technology (IJERT) 4 (5 … , 2015 2015 Citations: 4
Utilization of Egg Shell Powder (ESP) and M-Sand for Sustainable Construction J Anitha, H Ravi Kumar International Journal of Engineering Research 5 (02) , 2016 2016 Citations: 3
Prediction of Compressive, Flexural and Splitting Tensile Strengths of Concrete using Machine Learning Tools M Shivaraj, H Ravi Kumar, WP Prema Kumar, S Preetham International Journal of Engineering Research & Technology (IJERT) 4 (5 … , 2015 2015 Citations: 3
Support vector machines technique in analysis of Concrete-critical review S Preetham, M Shivaraj, WPP Kumar, H Ravi Kumar Int. J. Emerg. Technol. Eng.(IJETE) 1 (9), 199-203 , 2014 2014 Citations: 3
Investigation of Steel Fibers as Web Reinforcement in RC Deep Beams A Kumar, H Ravi Kumar 1st. seminar on civil engg. practice in the twenty first century, Roorkee … , 1996 1996 Citations: 2
Impact of manufactured sand grading method on durability of self-compacting concrete J Anitha, R Kumar H 2025 Citations: 1
Research on predicting axial load capacity of concrete filled steel tubular columns based on support vector machine method HR Kumar, NS Kumar AIP Conference Proceedings 2399 (1), 030011 , 2023 2023 Citations: 1
Experimental behavior of circular hsscfrc filled steel tubular columns under axial compression H Ravi Kumar, KU Muthu, NS Kumar International Journal of Research in Engineering and Technology, Conference … , 2013 2013 Citations: 1
“Comparison of water quality index methods for groundwater quality assessment,” S. Mustapure, HR Kumar Proc. Int. Conf. on Computational Intelligence and Smart Systems in Civil … , 2026 2026
Morphometrical Analysis and Groundwater Management in Chikkaballapur District, Karnataka,” S. Mustapure, HR Kumar Proc. 1st National Conf. on Artificial Intelligence and Machine Learning for … , 2026 2026
Comparison of water quality index methods for groundwater quality assessment S. Mustapure, H. Ravi Kumar, S. Shivanna, K. V. R. Prasad, KV Sumith Proc. Int. Conf. on Computational Intelligence and Smart Systems in Civil … , 2026 2026
Influence of Air-Classified and Wet-Classified Manufactured Sand on Self-Compacting Concrete Exposed to Severe Environmental Conditions J Anitha, R Kumar H, S K. G Civil Engineering and Architecture 13 (4), 3207 - 3219 , 2025 2025
COMPARATIVE STUDIES ON MULTI-STORIED RC BUILDING AND STEEL BUILDING SUBJECTED TO BLAST LOADING KN Vishwanath, MK Harikeerthan, R Kumar, KVR Prasad, S JM International Journal of Innovation Studies 9 (1), 328-344 , 2025 2025
Comprehensive Statistical Analysis and Assessment of Groundwater Quality of Chikkaballapur Taluk, Karnataka SMHR Kumar Proc. AICTE Sponsored Two Day National Conf. on Innovations, Challenges and … , 2025 2025
Evaluation of Groundwater Quality by Using Water Quality Index in Chikkaballapur District, Karnataka S Mustupure, Shivanna S, H Ravi Kumar Proc., of 1st International Conference on Science and Technology(ICSET-2023 … , 2023 2023
REVIEW : SMA POTENTIAL AND LIMITATIONS IN CONSTRUCTION S Pradeepa, J Anitha, D Shivanna S, D Ravi Kumar H Journal of Emerging Technologies and Innovative Research 10 (8), d748-d751 , 2023 2023
Study of Behaviour of Flexural and Shear Strength of RC Beam using Welded Wire Mesh S Harsha, G Keshav, G Yadav Kiran Gowda, C Vikas, DR Kumar H National Conference on Recent Multidiscliplinary Research in Civil Engineering , 2023 2023
Evaluation Of Groundwater Quality Using Remote Sensing And Gis: A Case Study S Shivanna, V DR, N Sriram Mustapure, H Ravikumar, KVR Prasad Tuijin Jishu/Journal of Propulsion Technology 44 (5), 1065-1072 , 2023 2023
