A Digital Twin (DT) Framework at Design and Construction Phases

E. X. Cao, F. Y. Guo*, K. Y. Wang

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

1 Citation (Scopus)

Abstract

In the construction industry, Digital Twin (DT) encompasses real-time data collection on building models, operational parameters, and other pertinent factors. DT utilizes multidimensional, multi-perspective, and multi-disciplinary simulation processes to enable information mapping via virtual simulations. This study proposes a preliminary framework for applying DT core technologies such as Building Information Modeling (BIM) and the Internet of Things (IoT) into the design and construction phases of building projects, drawing on a comprehensive analysis of DT concepts, technologies, and applications within the construction field. Furthermore, semi-structured interviews and a case study were conducted to validate the framework, with the aim of improving construction site monitoring, quality, and safety. By providing access to a wealth of project information and data, DT can help decrease construction costs, improve quality, and enhance stakeholder management practices.

Original languageEnglish
Title of host publicationTowards a Carbon Neutral Future - The Proceedings of The 3rd International Conference on Sustainable Buildings and Structures
EditorsKonstantinos Papadikis, Cheng Zhang, Shu Tang, Engui Liu, Luigi Di Sarno
PublisherSpringer Science and Business Media Deutschland GmbH
Pages615-625
Number of pages11
ISBN (Print)9789819979646
DOIs
Publication statusPublished - 2024
Externally publishedYes
Event3rd International Conference on Sustainable Buildings and Structures, ICSBS 2023 - Suzhou, China
Duration: 17 Aug 202320 Aug 2023

Publication series

NameLecture Notes in Civil Engineering
Volume393
ISSN (Print)2366-2557
ISSN (Electronic)2366-2565

Conference

Conference3rd International Conference on Sustainable Buildings and Structures, ICSBS 2023
Country/TerritoryChina
CitySuzhou
Period17/08/2320/08/23

Keywords

  • BIM
  • Case study
  • Digital twin
  • IoT

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