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Digital twins in construction and the built environment / edited by Houtan Jebelli [and 4 others].
- Format:
- Book
- Author/Creator:
- Cheng, Jack Chin Pang, HKUST., author.
- Language:
- English
- Subjects (All):
- Building--Technological innovations.
- Building.
- Digital twins (Computer simulation).
- Building information modeling.
- Physical Description:
- 1 online resource (301 pages)
- Edition:
- 1st ed.
- Place of Publication:
- Reston : American Society of Civil Engineers, 2024.
- Summary:
- This book presents a comprehensive exploration of digital twin systems, their practical challenges and successful implementations, suggesting that digital twin technology can revolutionize the future of the construction industry and built environment management.
- Contents:
- Cover
- Half Title
- Title Page
- Copyright Page
- Contents
- Contributors
- Acknowledgments
- Preface
- Acronyms
- Chapter 1: State of the Art of Digital Twins for Built Environments
- 1.1 Introduction
- 1.2 Research Methodology
- 1.3 Data Analysis and Discussion
- 1.3.1 Digital Twin Conceptualization
- 1.3.1.1 Definitions of Digital Twin
- 1.3.1.2 Types of Digital Twin
- 1.3.1.3 Characteristics of Digital Twin
- 1.3.1.4 Components of Digital Twin
- 1.3.1.5 Digital Twin.’.s System Architecture
- 1.3.2 A Comparison between Building Information Modeling and Digital Twin
- 1.3.2.1 Data Requirements
- 1.3.2.2 Building Information Modeling Uses versus Digital Twin Enterprise Solution
- 1.3.2.3 Scales of Technology Deployment
- 1.3.3 Benefits and Challenges of Digital Twin.’.s Adoption
- 1.3.3.1 Digital Twin Adoption.’.s Perceived Benefits and Opportunities
- 1.3.3.2 Digital Twin Adoption.’.s Challenges and Barriers
- 1.3.4 Strategic Planning for Digital Twin Implementation
- 1.3.4.1 Digital Twin.’.s Stakeholders and Strategies
- 1.3.4.2 Digital Twin Technology Stack
- 1.3.4.3 Digital Twin.’.s Maturity Models Generated by AI.
- Notes:
- Description based on publisher supplied metadata and other sources.
- Part of the metadata in this record was created by AI, based on the text of the resource.
- ISBN:
- 9780784485613
- 0784485615
- OCLC:
- 1458538649
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