LEADER 04403nam 22006495 450 001 9910845479903321 005 20240327063351.0 010 $a981-9700-72-8 024 7 $a10.1007/978-981-97-0072-1 035 $a(MiAaPQ)EBC31230553 035 $a(Au-PeEL)EBL31230553 035 $a(DE-He213)978-981-97-0072-1 035 $a(CKB)31120763000041 035 $a(MiAaPQ)EBC31266818 035 $a(Au-PeEL)EBL31266818 035 $a(EXLCZ)9931120763000041 100 $a20240325d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRecent Advances in Civil Engineering for Sustainable Communities$b[electronic resource] $eSelect Proceeding of IACESD 2023 /$fedited by N. Vinod Chandra Menon, Sreevalsa Kolathayar, Hugo Rodrigues, K. S. Sreekeshava 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (530 pages) 225 1 $aLecture Notes in Civil Engineering,$x2366-2565 ;$v459 311 $a981-9700-71-X 327 $aRecent 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. 330 $aThis book presents select proceedings of the International Conference on Interdisciplinary Approaches in Civil Engineering for Sustainable Development (IACESD 2023). The topics covered include geographic information systems (GIS) and building information modeling (BIM), integration of numerical methods for fluid flow modeling, and the revolutionary potential of 3D printing within the construction industry. This book serves as a resource material for researchers and industry professionals interested in developing solutions for sustainable and resilient infrastructure that aims for communities with Net Zero Targets. 410 0$aLecture Notes in Civil Engineering,$x2366-2565 ;$v459 606 $aBuildings$xDesign and construction 606 $aEnvironmental engineering 606 $aCivil engineering 606 $aConstruction industry$xManagement 606 $aBuilding Construction and Design 606 $aEnvironmental Civil Engineering 606 $aConstruction Management 615 0$aBuildings$xDesign and construction. 615 0$aEnvironmental engineering. 615 0$aCivil engineering. 615 0$aConstruction industry$xManagement. 615 14$aBuilding Construction and Design. 615 24$aEnvironmental Civil Engineering. 615 24$aConstruction Management. 676 $a690 700 $aMenon$b N. Vinod Chandra$01734165 701 $aKolathayar$b Sreevalsa$01588999 701 $aRodrigues$b Hugo$01332973 701 $aSreekeshava$b K. S$01589001 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910845479903321 996 $aRecent Advances in Civil Engineering for Sustainable Communities$94150800 997 $aUNINA