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Ravindra Nagar
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Modeling slump of ready mix concrete using genetic algorithms assisted training of Artificial Neural Networks
V Chandwani, V Agrawal, R Nagar
Expert Systems with Applications 42 (2), 885-893, 2015
2752015
Performance of sustainable concrete containing granite cutting waste
S Singh, S Khan, R Khandelwal, A Chugh, R Nagar
Journal of Cleaner Production 119, 86-98, 2016
1802016
Sustainable utilization of granite cutting waste in high strength concrete
S Singh, R Nagar, V Agrawal, A Rana, A Tiwari
Journal of Cleaner Production 116, 223-235, 2016
1542016
Feasibility assessment for partial replacement of fine aggregate to attain cleaner production perspective in concrete: A review
A Tiwari, S Singh, R Nagar
Journal of Cleaner Production 135, 490-507, 2016
1422016
A review on Properties of Sustainable Concrete using granite dust as replacement for river sand
S Singh, R Nagar, V Agrawal
Journal of cleaner production 126, 74-87, 2016
1352016
Implementing knowledge management in higher educational institutions in India: A conceptual framework
M Bhusry, R Nagar, J Ranjan
Liceo Journal Higher Education Research 7 (1), 155, 2013
1222013
Crushed rock sand–An economical and ecological alternative to natural sand to optimize concrete mix
S Mundra, PR Sindhi, V Chandwani, R Nagar, V Agrawal
Perspectives in Science 8, 345-347, 2016
1142016
Impact on fresh, mechanical, and microstructural properties of high strength self-compacting concrete by marble cutting slurry waste, fly ash, and silica fume
R Choudhary, R Gupta, R Nagar
Construction and Building Materials 239, 117888, 2020
1032020
Performance of granite cutting waste concrete under adverse exposure conditions
S Singh, R Nagar, V Agrawal
Journal of Cleaner Production 127, 172-182, 2016
1012016
Investigation on mechanical and thermo‐mechanical properties of granite powder filled treated jute fiber reinforced epoxy composite
MJ Pawar, A Patnaik, R Nagar
Polymer Composites 38 (4), 736-748, 2017
622017
Permeation, corrosion, and drying shrinkage assessment of self-compacting high strength concrete comprising waste marble slurry and fly ash, with silica fume
R Choudhary, R Gupta, T Alomayri, A Jain, R Nagar
Structures 33, 971-985, 2021
572021
Feasibility as a potential substitute for natural sand: a comparative study between granite cutting waste and marble slurry
S Singh, R Nagar, V Agrawal
Procedia Environmental Sciences 35, 571-582, 2016
562016
Mechanical and abrasion resistance performance of silica fume, marble slurry powder, and fly ash amalgamated high strength self-consolidating concrete
R Choudhary, R Gupta, R Nagar, A Jain
Construction and Building Materials 269, 121282, 2021
532021
Experimental investigation of sustainable concrete made with granite industry by-product
S Singh, N Nande, P Bansal, R Nagar
Journal of Materials in Civil Engineering 29 (6), 04017017, 2017
532017
Sandstone cutting waste as partial replacement of fine aggregates in concrete: A mechanical strength perspective
S Mundra, V Agrawal, R Nagar
Journal of Building Engineering 32, 101534, 2020
512020
Applications of soft computing in civil engineering: a review
V Chandwani, V Agrawal, R Nagar
International Journal of Computer Applications 81 (10), 2013
492013
Influence of dimensional stone waste on mechanical and durability properties of mortar: A review
HS Chouhan, P Kalla, R Nagar, PK Gautam
Construction and Building Materials 227, 116662, 2019
422019
Applications of artificial neural networks in modeling compressive strength of concrete: a state of the art review
V Chandwani, V Agrawal, R Nagar
International Journal of Current Engineering and Technology 4 (4), 2949-2956, 2014
422014
Experimental investigation and numerical simulation of granite powder filled polymer composites for wind turbine blade: a comparative analysis
MJ Pawar, A Patnaik, R Nagar
Polymer Composites 38 (7), 1335-1352, 2017
352017
Sorptivity characteristics of high strength self-consolidating concrete produced by marble waste powder, fly ash, and micro silica
R Choudhary, R Gupta, R Nagar, A Jain
Materials Today: Proceedings 32, 531-535, 2020
342020
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