Titlebook: Recent Advances in Civil Engineering for Sustainable Communities; Select Proceeding of N. Vinod Chandra Menon,Sreevalsa Kolathayar,K. S. C

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Optimizing Sustainable Construction Materials with Machine Learning Algorithms: Predicting Compressie learning algorithms. Limestone and Calcined Clay are promising materials to replace Ordinary Portland Cement, with the potential benefits of significantly reduced carbon dioxide emissions and lower production costs. In this study, three Ensemble Machine Learning (EML) models, Gradient Boosting, Ra

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Group Indexing of Fly Ashes Using Unsupervised Learning and Fuzzy Clustering Techniquesy Portland cement (OPC) concrete as a replacement for cement. Recently, its usage as a geopolymer cement while developing geopolymer concrete (GPC) mixes has been well documented in bibliography. Apart from this, fly ash has found wide utility in every other realm of civil engineering as a material

anachronistic

Mast-Cell

A Study on Repair Effectiveness of Damaged RC Beams with Circular Openings Using CFRP Sheetater supply, etc., transverse openings are provided on the RC beams. These openings become a source of potential weakness. Thus, it is important to understand the behaviour of the beam imposed with openings and the effects on its strength and serviceability. Circular, square or nearly square holes m

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