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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A. Sumathi,Harika Palamani,Namana Sravya,Karamsetty Navya Sree,A. Rajesh,D. Gowdhaman der Messung des Druckanstieges ist aber mit Wasserdampf zu rechnen. Da 1 kg PETN rd. 10 Mol H.O bildet und die Verdampfungswärme von Wasser, bezogen auf konstantes Volumen, rd. 10 kcal/Mol beträgt, wären je kg PETN rd. 100 kcal bzw. je Gramm rd. 100 cal als Verdampfungswärme des Wassers abzuziehen,

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Conference proceedings 2024hods for fluid flow modeling, and the revolutionary potential of 3D printing within the construction industry. This book serves as a resource material for researchers and industry professionals interested in developing solutions for sustainable and resilient infrastructure that aims for communities with Net Zero Targets..

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Predicting the Porosity of SCM-Blended Concrete Composites Using Ensemble Machine Learning Modelsconcrete manufacturing can be reduced by using alternative pozzolanic materials known as supplementary cementitious materials (SCMs). SCMs include a wide range of materials, such as fly ash, slag, metakaolin, silica fume, nanosilica, and other materials that are rich in silica and alumina. These mat

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Ensemble Machine Learning Models to Predict the Compressive Strength and Ultrasonic Pulse Velocity onary Portland cement (OPC) emits about 8% of CO., which is responsible for global warming. Thus, to reduce cement consumption, researchers are modifying conventional cement concrete by using various supplementary cementitious materials (SCMs). Among various SCMs available, fly ash (FlA) has been the