Advances in Civil and Structural Engineering: Smart Technologies and Digital Construction / Volume 2

Proceedings of the 2nd International Conference on Civil Engineering and Smart Construction (ICCESC 2025)
Erscheinungsjahr 2026
ISBN: 978-3-032-33746-7
Verlag: Springer

Buch, Englisch, 615 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Sustainable Civil Infrastructures

This book provides the core technical path of smart construction in civil engineering, solving the challenges of design optimization, safety monitoring and long-term operation, and maintenance in super-high-rise buildings and deep space engineering. Structural algorithms based on artificial intelligence improve seismic performance, UAV systems achieve accurate identification of millimeter-level diseases, and digital twin models actively extend the service cycle of facilities, delivering directly deployable practical tools for engineers.

The current urbanization process and aging infrastructure have exacerbated the efficiency and safety bottlenecks of traditional engineering methods. This book explains how intelligent technology reconstructs industry practice: AI design tools adapt to complex geological conditions, automated testing equipment replaces high-risk manual inspections, and predictive maintenance frameworks improve structural life by more than 30%. The deep integration of Building Information Modeling (BIM) and geographic data further promotes the transformation of sustainable construction from theory to standardization.

The content of this book comes from the exploration of engineering practice, helping civil engineers, researchers, and construction managers improve the application ability of intelligent construction technology. The scheme ideas and implementation methods provided in the book contribute practical reference for building an efficient, safe, and sustainable infrastructure system.

Zielgruppe

Research

Autoren/Hrsg.

Ma, Gao

Fachgebiete

• Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
• Technische Wissenschaften Bauingenieurwesen Bauingenieurwesen
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Bauingenieurwesen Baukonstruktion, Baufachmaterialien

Inhaltsverzeichnis

Research on BIM-Based Whole-Process Engineering Consulting in Construction Projects.- Research on Rapid Modeling Method of Tunnel Based on GIS and BIM.- An Integrated BIM-LCA Model for Embodied Carbon Quantification and Reduction under Uncertainty.- Real-Time Rendering of Arch Dam Condition Cloud Maps Based on Python-Matplotlib and Intelligent Monitoring.- Shield Tunneling Parameters Stratum Identification Method Based on K-means Clustering.- Settlement Analysis of Prefabricated Underground Station based on Discontinuous Foundation Beam.- Experimental study on 3D underground displacement measurement using optical fiber sensors.- Point Cloud Applications: Sand Particle Roundness Classification and 3D Bridge Tower Aesthetic Evaluation.- Review on Intelligent Monitoring and AI-Driven Predictive Maintenance of Steel-Concrete Composite Bridge Decks.- Thin plate damage analysis based on transient displacement response.- Research on Intelligent Recognition of Abnormal Events in Mud Cake Based on Big Data Fusion.- UAV Photogrammetry-Based Microcrack Segmentation for Building Facade Diagnostics via Geospatial Integration.- Intelligent Inspection Vehicle for Automated Crack Recognition in Urban Underground Comprehensive Pipe Gallery.- Research on Intelligent Recognition Method of Aggregate Particle Size Based on Single-Stage Instance Segmentation Model.- Drone-based Surface Image Capture of Fair-faced Concrete.- Learning to See Beauty: Deep Point Cloud Model for the Aesthetic Evaluation of 3D Bridge Towers.- Application of Intelligent Construction Technology in the Integral Lifting of Large-Span Steel Girders Chishi River Special Bridge.- Smart Construction Application of Prefabricated Autoclaved Lightweight Concrete (ALC) Wall Panels in Ultra-High Underground Spaces.- Research on the Evaluation Mechanism of Intelligent Construction Capability Maturity of Building Construction Enterprises.

Über Autor(innen)

Gao Ma is a professor in the College of Civil Engineering at Hunan University, core member of National Key Laboratory of Bridge Safety and Resilience and Key Laboratory for Damage Diagnosis of Engineering Structures of Hunan province, China. He received his BE from Wuhan University and Ph.D. from Harbin Institute of Technology.
His research interests include seismic analysis, prefabricated concrete structure, seismic resilient structure, FRP and UHPC retrofit, nondestructive testing, and AI technology in civil engineering.
He has hosted more than 15 scientific projects, including the National Nature Science Foundation (host 3 NSF fundings), the National Key Research and Development Program sub-project, and the Hunan Young Talents Program of Hunan Province, etc. He has published 77 international and national journal articles (including 48 SCI papers, 12 Engineering Structures journal papers, 7 ASCE journal papers), authorized 20 patents and 11 software copyrights.