Digitalization in Construction: Recent trends and advances (Spon Research)

✍ Scribed by Chansik Park (editor), Farzad Pour Rahimian (editor), Nashwan Dawood (editor), Akeem Pedro (editor), Lee Dongmin (editor), Rahat Hussain (editor), Mehrtash Soltani (editor)

• Publisher: Routledge
• Year: 2023
• Tongue: English
• Leaves: 367
• Edition: 1
• Category: Library

✦ Synopsis

This book highlights the latest trends and advances in applications of digital technologies in construction engineering and management. A collection of chapters is presented, explicating how advanced technological solutions can innovatively address challenges and improve outcomes in the construction industry. Promising technologies that are highlighted include digital twins, virtual reality, augmented reality, artificial intelligence, robotics, blockchain, and distributed ledger technologies. The first section presents recent applications of extended reality technologies for construction education and advanced project control. The subsequent chapters explore Artificial Intelligence (AI), blockchain, and BIM-enabled digitalization in construction through a series of case studies, reviews, and technical studies. Innovative technologies and digitalized solutions are proposed for improved design, planning, training, monitoring, inspection, and operations management in Architectural, Engineering and Construction (AEC) contexts. In addition to the technological perspectives and insights presented, pressing issues such as decarbonization, safety, and sustainability in the built environment are also discussed.

This book provides foundational knowledge and in-depth technical studies on emerging technologies for students, academics, and industry practitioners. The research demonstrates how the effective use of new technologies can enhance work methods, transform organizational structures, and bring profound advantages to construction project participants.

✦ Table of Contents

Cover
Half Title
Series Page
Title Page
Copyright Page
Contents
Preface
Editors' Biographies
Contributors
1. Multi-user Virtual Reality-Based Design Review of Students' Construction Designs
1.1 Introduction
1.1.1 Communication
1.1.2 Design Review
1.1.3 Virtual Reality
1.2 Method
1.2.1 Case
1.2.2 Data Collection
1.3 Results
1.3.1 Design Review Process
1.3.2 Issue Report
1.3.2.1 Type of Issue
1.3.2.2 Discipline
1.3.2.3 Priority of Issue
1.3.2.4 Model-Confirmation and Solution-Discussing
1.3.3 Communication and Interaction
1.3.4 Survey
1.3.4.1 Strengths and Drawbacks
1.3.4.2 VR versus Traditional Design Review
1.3.4.3 Value of VR in Design Review Sessions
1.4 Discussion
1.5 Conclusion
References
2. Towards Personalized Mixed Reality-Based Learning Experience in Construction Education
2.1 Introduction
2.2 Background
2.2.1 MR/AR Environments in Construction Education
2.2.2 Eye-Tracking for Usability Studies
2.2.3 Machine Learning for Understanding Eye-Tracking Data
2.2.4 Theoretical Framework
2.2.5 Research Gaps
2.3 Materials and Methods
2.3.1 Experiment Procedure
2.3.1.1 Participants
2.3.1.2 AR HMD
2.3.1.3 Learning Environment and Activity
2.3.2 Data Collection
2.3.2.1 Think-Aloud Protocol
2.3.2.2 Eye-Tracking Data
2.3.3 Data Analysis
2.3.3.1 Preprocessing
2.3.3.2 Data Labeling and Justification
2.3.3.3 Data Classification
2.3.3.4 Performance Measures
2.4 Results
2.4.1 Performance Evaluation of Learning Stages Classification Model
2.4.2 Performance Evaluation of Difficulty Levels Classification Model
2.5 Discussion
2.6 Conclusions and Future Works
Acknowledgment
References
3. Marker-Based Augmented Reality Framework for Checking the Installation Status of Onsite Components
3.1 Introduction
3.2 Literature Review
3.2.1 AR Principles and Concepts
3.2.1.1 Markerless AR
3.2.1.2 Marker-Based AR
3.2.2 AR Devices
3.2.3 AR in Construction
3.3 Research Objective and Scope
3.4 Methodology
3.4.1 3-D Model Preparation
3.4.2 Superimposing Virtual 3-D Model to the Inspector's View
3.4.3 Comparing the Superimposed 3-D Model and the Surrounding Spatial 3-D Model
3.5 Results and Validation
3.5.1 Preliminary Experiment on Marker Distance and Angle Measurement
3.5.2 Onsite Construction Installation Status Experiment
3.5.3 Discussion and Future Research
3.6 Conclusion
Acknowledgments
References
4. Schedule-Driven BIM Model Breakdown Framework for Construction Monitoring with Augmented Reality
4.1 Introduction
4.2 Related Work
4.2.1 Construction Monitoring Activities with AR Support
4.2.2 BIM and AR Integration in Construction
4.3 Requirements of BIM-Based Data Used for the Input of AR Applications
4.4 The Framework to Create an AR-Ready BIM
4.4.1 AR Tasks Model Requirements
4.4.2 AR Model Preparation
4.4.3 Onsite Implementation
4.5 Experimental Validation
4.5.1 Experiment 1
4.5.2 Experiment 2
4.6 Onsite Result and Discussion
4.7 Conclusion
References
5. Building Information Model Visualisation in Augmented Reality
5.1 Introduction
5.2 Background
5.2.1 Building Information
5.2.2 Spatial Mapping and Tracking
5.2.3 Integration of BIM and AR
5.3 Methods
5.3.1 Building Information Model
5.3.2 Superimposing Model
5.3.3 Analysis and Evaluation
5.4 Results
5.5 Discussion
5.5.1 Model Superimposing and Visualisation
5.5.2 Implementation Approaches
5.6 Conclusion
Acknowledgements
References
6. Conceptual Framework for Safety Training for Migrant Construction Workers Using Virtual Reality Techniques
6.1 Introduction
6.2 Background
6.2.1 Traditional Methods for Migrant Workers' Safety Training (MWST)
6.2.2 Empowering VR Tools for Safety Training
6.3 The Conceptual Framework for MWST
6.3.1 Immersive Scenario Development
6.3.2 Enhanced Learning Support
6.3.3 Participatory Approach
6.4 Conclusion
References
7. Automated Data Retrieval Solution from BIM Using AI Voice Assistant
7.1 Introduction
7.2 Contextual Background
7.2.1 BIM and Data Retrieval
7.2.2 IR from a BIM Model
7.2.3 BIM Data Retrieval in a BIM Software
7.2.4 BIM and Visual Programming Languages
7.2.5 Current State of IR in BIM Model
7.3 Methods
7.4 Solution Development
7.4.1 The Mechanism of Using Proposed System
7.4.2 Building AI-Voice Assistant Skill
7.4.2.1 Developing a Custom Skills-Based Amazon Alexa
7.4.2.2 Building Mediator Environment
7.4.2.3 AI-Voice Assistant to BIM
7.5 'Proof of Concept' Demonstration and Evaluation
7.6 Discussion, Significance and Limitation
7.7 Conclusion
References
8. BIM-VR Integration for Infrastructure Asset Management: A Systematic Review
8.1 Introduction
8.2 Research Methodology
8.2.1 Planning the Review
8.2.2 Conducting the Review
8.2.3 Analyzing and Reporting the Review
8.3 Analysis and Results
8.3.1 Descriptive Analysis
8.3.2 Content Analysis
8.3.2.1 Building Information Modeling (BIM)
8.3.2.2 Virtual Reality (VR)
8.3.2.3 BIM and VR Integration for IAM
8.4 Conclusions
References
9. Verification and Validation of a Framework for Collaborative BIM Implementation, Measurement and Management (CIMM)
9.1 Introduction
9.2 Methodology
9.2.1 Design and Procedure
9.2.2 Stakeholder Selection (Focus Group)
9.2.3 Survey Questionnaire
9.2.4 Project Case Study (Workshop)
9.3 Results
9.3.1 Data Analysis
9.3.2 Objectifying and Improving the Way BIM Goals Are Achieved
9.3.3 Identification of Core Elements for an Inclusivity and Measurability
9.3.4 Framework Understandability and Usability
9.3.5 Novelty of Hypothesis
9.3.6 Likelihood of Improving Collaboration BIM
9.3.7 Process Improvements and Clarity
9.3.8 Summary
9.4 Framework Hypothesis - Adaptions Post-Verification (Stage 1)
9.5 Project Case Study (Workshop): Validation Phase
9.5.1 Core Findings
9.5.1.1 Identifying the Criteria and Alternatives
9.5.1.2 Applying the Prioritisation Factors to Criteria (Including CI and CR Values)
9.5.1.3 Applying the Prioritisation Factors to Alternatives (Including CI and CR Values)
9.5.2 Exchange Requirements
9.5.3 Coordination (Existing Asset)
9.5.4 Stakeholder Requirements
9.5.5 Constraints
9.5.6 Level of Information Need
9.5.6.1 Summary of Criteria and Alternative Prioritisation
9.5.6.2 Determining Confidence, Complexity and Impacts (CCI) Plus Risk Mitigation Factors
9.6 Conclusive Remarks
9.7 Limitations and Implications
References
10. BIM Adoption Issues in Infrastructure Construction Projects: Analysis and Solutions
10.1 Introduction
10.2 Theoretical Development of BIM Adoption in Infrastructure Projects
10.2.1 Systematic Literature Review
10.2.2 Conclusions from the Literature Review
10.3 Analysing the Infrastructure Project Authority (IPA) Annual Report
10.3.1 Benchmarking System
10.3.2 Analysis of Project Confidence Data
10.3.3 Infrastructure and Construction Sector - Analysis
10.4 Methodology of Data Collection from Construction Experts
10.4.1 Design and Procedure
10.4.1.1 Semi-Structured Interviews
10.4.1.2 Critical Review
10.5 Results
10.5.1 Data Collection - Semi-Structured Interviews
10.5.1.1 BIM Standards, Methods and Procedures
10.5.1.2 Lessons Learned and Benefits
10.5.1.3 Productivity and Project Confidence Factors
10.5.1.4 Benefits, Desires and Inefficiencies of BIM Implementation
10.5.1.5 Role Specific Gain and Benefit from BIM
10.5.1.6 Measuring Successful Adoption
10.5.1.7 Reviewing Goal Achievements
10.5.1.8 Open Question (Free Input)
10.5.1.9 Additional Analysis
10.6 Summary and Conclusion
10.6.1 Discussion
10.6.2 Synthesis of Results
10.6.3 Conclusive Remarks
10.6.4 Limitations
10.6.5 Future Works
Acknowledgements
References
Appendices
11. A Review of Barriers and Enablers of the BIM Adoption in Quality Management System
11.1 Introduction
11.2 Literature Review
11.2.1 What Is BIM?
11.2.2 BIM and Its Application in QM
11.3 Methodology
11.3.1 Planning the Review
11.3.2 Conducting the Review
11.3.3 Analysis and Reporting of the Review
11.4 Analysis and Result
11.4.1 Descriptive Analysis
11.4.2 Content Analysis
11.4.2.1 Insufficient Support from Top Management
11.4.2.2 Absence of Sufficient Technology and Infrastructure
11.4.2.3 Low Level of BIM Technical Awareness
11.4.2.4 Staff Resistance
11.5 Discussion
11.6 Conclusion and Way Forward
References
12. Transforming Construction Site Safety with iSAFE: An Automated Safety Management Platform
12.1 Introduction
12.2 Research Core
12.3 Introducing the iSAFE Platform
12.3.1 iSAFE (Planning/Training)
12.3.1.1 iSAFE Training
12.3.1.2 iSAFE Planning
12.3.2 iSAFEGuard (Monitoring/Inspection)
12.3.2.1 Detector Development
12.3.2.2 Risk Situation Definition and Classification
12.3.2.3 AI Model Selection and Optimization
12.3.2.4 Development of Real/Virtual Learning Data Construction (Dataset Build)
12.3.2.5 Development of Virtual Data Generation Technology for Dataset Augmentation
12.3.2.6 Techniques Development and Applications
12.3.2.6.1 Tracking
12.3.2.6.2 Depth Estimation
12.3.2.6.3 Coordinates
12.3.2.6.4 Edge Detection
12.3.2.6.5 Background Subtraction
12.3.2.7 Operational Applications Using Various Image Acquisition Devices
12.3.2.7.1 Server Base High-Performance Detector
12.3.2.7.2 Edge Base Lightweight Detector
12.3.2.7.3 Mobile Base Lightweight Detector
12.3.3 iSAFEIncentive (Data Management/Token-Based Rewards System)
12.4 Discussion
12.5 Conclusion
Acknowledgment
References
13. BIM with Blockchain for Decentralised Circular Construction Supply Chain
13.1 Introduction
13.2 Contextual Background
13.2.1 Circular Economy and Industry 4.0
13.2.2 Circular Supply Chain
13.2.3 Circular Economy and Blockchain
13.3 Research Methods
13.4 Problem Identification
13.5 Treatment Suggestion
13.6 Treatment Design
13.7 Evaluation
13.8 Discussion of Findings
13.9 Practical Implications
13.10 Conclusion
References
14. Developing a Digitized Maintenance Supply Chain System for Sensitive Assets Using 'Blockchain of Things'
14.1 Introduction
14.2 Methodology
14.3 Conceptual Solution Development
14.3.1 Decentralized Supply Chain System-Based Hyperledger Fabric
14.3.2 Chaincode Functions Development
14.3.3 Blockchain and IoT Integration
14.4 Discussion
14.5 Conclusion
Acknowledgment
References
15. Digital Twinning in the Malaysian Construction Industry
15.1 Introduction
15.2 Twelve Emerging Technologies
15.2.1 Prefabrication and Modular Construction
15.2.2 Building Information Modelling (BIM)
15.2.3 Autonomous Construction
15.2.4 Augmented Reality and Virtualization (AR and VR)
15.2.5 Cloud and Realtime Collaboration
15.2.6 3D Scanning and Photogrammetry
15.2.7 Big Data and Predictive Analytic (BDPA)
15.2.8 Internet of Things (IoT)
15.2.9 3D Printing and Additive Manufacturing (AM)
15.2.10 Advanced Building Materials
15.2.11 Blockchain
15.2.12 Artificial Intelligence (AI)
15.3 A Conceptual System to Integrate 12 Emerging Technologies
15.3.1 Integration Workflow 1 - 3D Laser Scanning
15.3.2 Integration Workflow 2 - Cloud-Based BIM
15.3.3 Integration Workflow 3 - Cloud-Based Digital Platform of Prefabrication and Modular Construction Visualization
15.3.4 Integration Workflow 4 - AR and VR Based BIM
15.3.5 Integration Workflow 5 - BIM-Based 3D Printing for Building Components
15.3.6 Integration Workflow 6 - Large-scale 3D Printing
15.3.7 Integration Workflow 7 - Prefabrication and Modular Construction with BIM-Enable Assemble Robots
15.3.8 Integration Workflow 8 - Blockchain-based Document Management System for Construction Projects
15.3.9 Integration Workflow 9 - Autonomous Construction System
15.3.10 Integration Workflow 10 - Information Management System for Construction Projects
15.4 Discussion
References
16. Electromyography-Based Action Recognition of Construction Workers Using and Not Using Wearable Robots
16.1 Introduction
16.2 Literature Review
16.2.1 Wearable Robots in the Construction Industry
16.2.2 Action Recognition in Construction
16.3 Methodology
16.3.1 Data Acquisition
16.3.1.1 Participants
16.3.1.2 Wearable Robot
16.3.1.3 Sensing Technology
16.3.2 Experimental Design and Procedure
16.3.3 Data Analysis
16.3.3.1 Data Preparation and Labeling
16.3.3.2 Feature Extraction
16.3.3.3 Data Classification
16.3.4 Performance Evaluation
16.4 Results and Discussion
16.4.1 Performance of the Best Classifier
16.4.2 Performance of Top Classifiers
16.5 Conclusions and Future Work
References
17. Design and Development of Virtual Reality Environment for Human-Robot Interaction on Construction Site
17.1 Introduction
17.2 Drone Design and Development Method
17.2.1 Design Philosophy
17.2.2 Design Details
17.2.3 Choice Solution
17.2.4 Drone Model
17.2.5 Implementation of the simulator
17.2.6 Flight Environment
17.3 Experiment Procedure
17.3.1 Procedural Order for Flying the Drone
17.3.2 Data Collection
17.3.3 User Task
17.3.4 Testing
17.4 Discussion
17.5 Conclusion and Future Improvements
Acknowledgements
References
Appendix
18. Application of Blockchain Technology in the Engineering and Construction Sector: A State-of-the-Art Review
18.1 Introduction
18.2 Methodology and Data Collection
18.2.1 Bibliometric Methodology
18.2.2 Paper Retrieval Strategy and Screening Method for Systematic Review
18.3 Results Describing the Bibliometric Analysis and Content Analysis
18.3.1 Bibliometric Analysis
18.3.1.1 Performance Analysis
18.3.1.1.1 Publication Years
18.3.1.1.2 Top Countries
18.3.1.1.3 Authors and Journals
18.3.1.2 Visualisation and Interpretation of the Clustering Analysis and Co-word Analysis
18.3.2 Content Analysis
18.4 Literature Review of the Blockchain Technology
18.4.1 Application of Blockchain Technologies in Engineering and Construction
18.4.1.1 Document Management and Quality of the Information
18.4.1.2 Smart Contracts and Payments
18.4.1.3 Supply Chain Management in Engineering and Construction
18.4.1.4 Other Technologies for Engineering and Construction
18.4.2 Roadblocks and Challenges in the Adoption of Blockchain in the Engineering and Construction Industry
18.5 Discussion of the Challenges
18.6 Trends and Future Research Areas
18.7 Conclusion
References
Index