Digital twin in construction: An empirical analysis

Mahmoud El Jazzar, Melanie Piskernik, Hala Nassereddine

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

20 Scopus citations

Abstract

Construction is one of the most information-intensive industries where information needs to be readily available, accurate, timely, and in a format that is understandable by the recipient. Information needs to be effectively exchanged throughout the lifecycle - from conceptual planning to decommissioning. As Industry 4.0 continues to evolve, it is imperative that construction adopts new technologies. A key element of the Industry 4.0 roadmap is Digital Twin, a digitization technology that allows the physical and virtual space to communicate. While Digital Twin is rapidly being adopted in multiple sectors, the technology has the potential to leverage construction data. This paper synthesizes the current state of practice of Digital Twin in construction by reviewing the extant literature and proposes a framework that classifies the level of integration in construction into three subcategories namely: Digital Model, Digital Shadow, and Digital Twin. A conceptual illustration of Digital Twin in construction is also presented.

Original languageEnglish
Title of host publicationEG-ICE 2020 Workshop on Intelligent Computing in Engineering, Proceedings
EditorsLucian-Constantin Ungureanu, Timo Hartmann
Pages501-510
Number of pages10
ISBN (Electronic)9783798331556
StatePublished - 2020
Event27th EG-ICE International Workshop on Intelligent Computing in Engineering 2020 - Virtual, Online, Germany
Duration: Jul 1 2020Jul 4 2020

Publication series

NameEG-ICE 2020 Workshop on Intelligent Computing in Engineering, Proceedings

Conference

Conference27th EG-ICE International Workshop on Intelligent Computing in Engineering 2020
Country/TerritoryGermany
CityVirtual, Online
Period7/1/207/4/20

Bibliographical note

Publisher Copyright:
© EG-ICE 2020 Workshop on Intelligent Computing in Engineering, Proceedings. All rights reserved.

ASJC Scopus subject areas

  • Computer Science Applications
  • Engineering (all)

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