Applications of Digital Twins for the Construction Process

Devayani Y. Jahagirdar, Robert M. Leicht

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

With a focus on the automation of construction, this paper presents a literature review and overview of how digital twins can be used in construction and their potential applications. A digital twin is a digital, intelligent counterpart of a real-life object, human, process, or building, which is uniquely linked to its physical twin, establishing a one-to-one correspondence between them. Construction projects involve a huge amount of information creation and sharing among the project team. Hence, a large amount of data is generated in each project which needs to be created, analyzed, and made accessible to everyone working on the same building. A digital twin offers additional value over the use of building information models (BIM) to manage the construction process because of its potential to update using real-time progress and simulate forecasted conditions. Unlike digital twins in manufacturing, digital twins for construction are still poorly understood. The temporary nature of construction and the dynamic nature of the sites make monitoring of construction processes and resources difficult. To address this issue, this paper explores the use of digital twins in construction processes. It discusses the use cases of digital twins and their potential application in construction contexts. It is observed that sequencing tasks/processes, navigation, forecasting, and setting up data-enriched 3D models to simulate construction processes can all be potentially mirrored using digital twins with more innovations in existing technology in construction.

Original languageEnglish (US)
Title of host publicationComputing in Civil Engineering 2023
Subtitle of host publicationVisualization, Information Modeling, and Simulation - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2023
EditorsYelda Turkan, Joseph Louis, Fernanda Leite, Semiha Ergan
PublisherAmerican Society of Civil Engineers (ASCE)
Pages357-363
Number of pages7
ISBN (Electronic)9780784485231
DOIs
StatePublished - 2024
EventASCE International Conference on Computing in Civil Engineering 2023: Visualization, Information Modeling, and Simulation, i3CE 2023 - Corvallis, United States
Duration: Jun 25 2023Jun 28 2023

Publication series

NameComputing in Civil Engineering 2023: Visualization, Information Modeling, and Simulation - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2023

Conference

ConferenceASCE International Conference on Computing in Civil Engineering 2023: Visualization, Information Modeling, and Simulation, i3CE 2023
Country/TerritoryUnited States
CityCorvallis
Period6/25/236/28/23

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • Civil and Structural Engineering

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