Recent Advances in Civil Engineering for Sustainable Communities
portes grátis
Recent Advances in Civil Engineering for Sustainable Communities
Select Proceeding of IACESD 2023
Rodrigues, Hugo; Kolathayar, Sreevalsa; Menon, N. Vinod Chandra; Sreekeshava, K. S.
Springer Verlag, Singapore
03/2024
547
Dura
Inglês
9789819700714
15 a 20 dias
Descrição não disponível.
Recent Advances in Civil Engineering for Sustainable Communities - An Introduction.- Investigation on Compressive Strength of Fibre Reinforced Concrete Using Artificial Neural Network.- Conventional and Ensemble Machine Learning Techniques to Predict the Compressive Strength of Sustainable Concrete.- Experimental Study on Strength Properties of Concrete Incorporated with Bacteria.- Predicting the Porosity of SCM-blended Concrete Composites Using Ensemble Machine Learning Models.- Ensemble Machine Learning Models to Predict the Compressive Strength and Ultrasonic Pulse Velocity of Sustainable Concrete.- Prognosis of Concrete Strength: The State of Art in Using Different Machine Learning Algorithms.- Experimental Study on Strength and Durability Characteristics of Mortars with TiO2 Nanoparticles.- Optimizing Sustainable Construction Materials with Machine Learning Algorithms: Predicting Compressive Strength of Concrete Composites.- Group Indexing of Fly Ashes using Unsupervised.- Learning and Fuzzy Clustering Techniques.- Study on Self-Healing Properties of Bacteria based Cement Mortar with Eggshell Powder and Jute fibre.- A Study on Repair Effectiveness of Damaged RC Beams with Circular Openings Using CFRP Sheet.- ELA and AAR Dynamics of Glaciers in Chandra Basin, Western Himalayas.- GIS Applications and Machine Learning Approaches in Civil Engineering.- Structural Health Monitoring by Simultaneous Measurement of Strain and Temperature Using Different Materials.
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Sustainable and Resilient Communities;Sustainable Construction Materials;Disaster Resilient Infrastructure;Sustainable Geotechnics;Net Zero Targets
Recent Advances in Civil Engineering for Sustainable Communities - An Introduction.- Investigation on Compressive Strength of Fibre Reinforced Concrete Using Artificial Neural Network.- Conventional and Ensemble Machine Learning Techniques to Predict the Compressive Strength of Sustainable Concrete.- Experimental Study on Strength Properties of Concrete Incorporated with Bacteria.- Predicting the Porosity of SCM-blended Concrete Composites Using Ensemble Machine Learning Models.- Ensemble Machine Learning Models to Predict the Compressive Strength and Ultrasonic Pulse Velocity of Sustainable Concrete.- Prognosis of Concrete Strength: The State of Art in Using Different Machine Learning Algorithms.- Experimental Study on Strength and Durability Characteristics of Mortars with TiO2 Nanoparticles.- Optimizing Sustainable Construction Materials with Machine Learning Algorithms: Predicting Compressive Strength of Concrete Composites.- Group Indexing of Fly Ashes using Unsupervised.- Learning and Fuzzy Clustering Techniques.- Study on Self-Healing Properties of Bacteria based Cement Mortar with Eggshell Powder and Jute fibre.- A Study on Repair Effectiveness of Damaged RC Beams with Circular Openings Using CFRP Sheet.- ELA and AAR Dynamics of Glaciers in Chandra Basin, Western Himalayas.- GIS Applications and Machine Learning Approaches in Civil Engineering.- Structural Health Monitoring by Simultaneous Measurement of Strain and Temperature Using Different Materials.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
