Titlebook: Recent Developments in Sustainable Infrastructure (ICRDSI-2020)—Structure and Construction Managemen; Conference Proceedin B. B. Das,Christ

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,The Use of Artificial Intelligence in High Strength Hybrid Fiber Self Compacting Concrete—An Approat of various machine learning models compared to categorize the collected data into test, train, and validation followed by 19 kinds of various machine learning regression models along with artificial neural network for advancing a function to approximate the flexural strength of HSHFSCC. Here, thre

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Gradation of the Relative Significance of the Claims Obtained from Construction Industry,nce of the claims categories are also analysed and presented in the present investigation. The ranking of the causes of the claims has been done by finding the relative important index of each cause claim.

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Effect of Mechanical and Chemical Activation of Fly Ash on the Properties of Fly Ash Bricks,combination of them to prepare 18 numbers of mixes. For each mix, ten numbers of brick samples were prepared to test their compressive strength and water absorption properties. After considering the variables it is observed that, due to increase in mechanical activation of FA the compressive strengt

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A Life Cycle Analysis Based Framework to Promote Circular Economy in the Building Sector,iew of life cycle thinking. Open LCA software is used for impact assessment and eco-invent database is used in association with it for modelling circular economy parameters. The LCIA method selected is eco-indicator 99 which considers the major?impact factors?such as ecosystem quality, human health

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,Development in Sustainable Infrastructure—Correlation of Concrete Core Data,s of core and cube strength were compared and correlated to each other. This research also derives the relationship between, non-destructive tests (Rebound hammer and UPV) and semi destructive tests (core testing) on concrete elements. All this data is required as the fine aggregates used is manufac