國立高雄大學圖資館 |

Language: English

Back

Recent advances in civil engineering for sustainable communitiesselect proceeding of IACESD 2023 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Recent advances in civil engineering for sustainable communitiesedited by N. Vinod Chandra Menon ... [et al.].
Reminder of title:	select proceeding of IACESD 2023 /
remainder title:	IACESD 2023
other author:	Menon, N. Vinod Chandra.
corporate name:
Published:	Singapore :Springer Nature Singapore :2024.
Description:	xiv, 547 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Civil engineering
Online resource:	https://doi.org/10.1007/978-981-97-0072-1
ISBN:	9789819700721$q(electronic bk.)

Recent advances in civil engineering for sustainable communitiesselect proceeding of IACESD 2023 /
Recent advances in civil engineering for sustainable communitiesselect proceeding of IACESD 2023 /[electronic resource] :IACESD 2023edited by N. Vinod Chandra Menon ... [et al.]. - Singapore :Springer Nature Singapore :2024. - xiv, 547 p. :ill., digital ;24 cm. - Lecture notes in civil engineering,v. 4592366-2565 ;. - Lecture notes in civil engineering ;v.1..

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.

This 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.

ISBN: 9789819700721$q(electronic bk.)

Standard No.: 10.1007/978-981-97-0072-1doiSubjects--Topical Terms:

253359
Civil engineering

LC Class. No.: TA5

Dewey Class. No.: 624

Recent advances in civil engineering for sustainable communitiesselect proceeding of IACESD 2023 /
LDR:03246nmm a22003495a 4500 001 664938
003 DE-He213
005 20240327063351.0
006 m d
007 cr nn 008maaau
008 241219s2024 si s 0 eng d
020 $a 9789819700721$q(electronic bk.)
020 $a 9789819700714$q(paper)
024 7 $a 10.1007/978-981-97-0072-1 $2 doi
035 $a 978-981-97-0072-1
040 $a GP $c GP
041 0 $a eng
050 4 $a TA5
072 7 $a TNK $2 bicssc
072 7 $a TEC005050 $2 bisacsh
072 7 $a TNK $2 thema
082 0 4 $a 624 $2 23
090 $a TA5 $b .I61 2023
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Recent advances in civil engineering for sustainable communities $h [electronic resource] : $b select proceeding of IACESD 2023 / $c edited by N. Vinod Chandra Menon ... [et al.].
246 3 $a IACESD 2023
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2024.
300 $a xiv, 547 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in civil engineering, $x 2366-2565 ; $v v. 459
505 0 $a 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.
520 $a This 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.
650 0 $a Civil engineering $3 253359
650 1 4 $a Building Construction and Design. $3 761394
650 2 4 $a Environmental Civil Engineering. $3 919655
650 2 4 $a Construction Management. $3 286691
700 1 $a Menon, N. Vinod Chandra. $3 970604
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in civil engineering ; $v v.1. $3 758492
856 4 0 $u https://doi.org/10.1007/978-981-97-0072-1
950 $a Engineering (SpringerNature-11647)