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Buildings
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Digital Twin in the Construction Industry—Advances and Challenges
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Digital Twin in the Construction Industry—Advances and Challenges

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Construction Management, and Computers & Digitization".

Deadline for manuscript submissions: closed (20 January 2024) | Viewed by 2663

Special Issue Editors

Prof. Dr. John-Paris Pantouvakis

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Guest Editor
Laboratory of Construction Equipment & Project Management, Department of Structural Engineering, School of Civil Engineering, National Technical University Athens (NTUA), 9, Heroon Polytechniou Str., Zografou Campus, 15780 Athens, Greece
Interests: construction engineering; digital construction; construction technology; construction project management
Prof. Dr. Nikos D. Lagaros

E-Mail Website
Guest Editor
Institute of Structural Analysis & Antiseismic Research, Department of Structural Engineering, School of Civil Engineering, National Technical University Athens (NTUA), 9, Heroon Polytechniou Str., Zografou Campus, 15780 Athens, Greece
Interests: structural design optimization; digital twins; machine learning; metaheuristics
Special Issues, Collections and Topics in MDPI journals
Dr. Marina Marinelli

E-Mail Website
Guest Editor
Assistant Professor, Laboratory of Construction Equipment & Project Management, Department of Structural Engineering, School of Civil Engineering, National Technical University Athens (NTUA), 9, Heroon Polytechniou Str., Zografou Campus, 15780 Athens, Greece
Interests: project cost and value management; digital construction; lean engineering; sustainable construction

Special Issue Information

Dear Colleagues,

Digital Twins (DT) technology, an integral part of the 4th industrial revolution, has paramount significance for the Architectural, Engineering and Construction Industry (AECI) due to its potential for assisting in the whole life-cycle of constructed assets. Despite its importance, however, DTs applications in AECI are behind other industries. The recent Green New Deal for Europe has set as primary objectives the minimization of the required materials, energy, environmental pollution and waste for all heavy industries including AECI. The purpose of this SI is to present the progress achieved so far and the challenges of the integration of DT technology into AECI in the fast approaching smart asset era.

It is, therefore, our great pleasure to invite you to contribute to this Special Issue by presenting your results on Digital Twin Technologies for AECI from an academic, design office’s or construction company’s point of view. The papers can focus on the adoption of Digital Twin Technologies related to all aspect of AECI including barriers and enablers, sustainability, agility, resilience, organisational requirements, implementation challenges and the multi-dimensional technological prerequisites. Articles may also include manufacturing technologies, modeling, optimization, artificial intelligence algorithms, control, measurements, analysis, and/or experimental investigations related to additive manufacturing combined with the AECI.

Prof. Dr. John-Paris Pantouvakis
Prof. Dr. Nikos D. Lagaros
Dr. Marina Marinelli
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • digital twin for AECI
  • digital twins for construction management, equipment & safety
  • digital twins for existing infrastructure
  • digital twins for smart buildings
  • data standardization, processing and interoperability issues
  • machine learning and learning systems
  • additive manufacturing at the construction industry
  • virtual construction and visualization, sensors and actuators
  • big data analytics, Internet of Things and blockchain
  • digital upskilling and training

Published Papers (2 papers)

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Research

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15 pages, 5664 KiB  
Article
Selecting the Best 3D Concrete Printing Technology for Refugee Camp’s Shelter Construction Using Analytical Hierarchy Process: The Case of Syrian Refugees in Jordan
by Mohammed A. Almomani, Nedal Al-Ababneh, Khairedin Abdalla, Nadim I. Shbeeb, John-Paris Pantouvakis and Nikos D. Lagaros
Buildings 2023, 13(7), 1813; https://doi.org/10.3390/buildings13071813 - 17 Jul 2023
Cited by 2 | Viewed by 1340
Abstract
Upgrading the Syrian refugee shelter design serves humanitarian needs, especially since the currently used T-shelters have a life span of 2–4 years, and there are no clear signs of an imminent return of Syrian refugees to their country, even after the end of [...] Read more.
Upgrading the Syrian refugee shelter design serves humanitarian needs, especially since the currently used T-shelters have a life span of 2–4 years, and there are no clear signs of an imminent return of Syrian refugees to their country, even after the end of the civil war. The use of 3D concrete printing can provide a promising method to construct new durable shelters with a long life span and provide better protection against extreme change in the desert climate, privacy, and cultural constraints. This research aims to use multi-criteria decision methods—in particular, the Analytical Hierarchal Process (AHP) method—to select the best 3D concrete printing to construct these shelters. The proposed model takes the following into consideration: the machine’s technical characteristics, building structure characteristics, and economic and environmental aspects. The three basic developed technologies—contour crafting, D-shape, and concrete printing—were used as alternatives in the model. The results show that contour crafting is the best technology for this application, and the inconsistency test and sensitivity analysis indicate an effective and reasonable technology ranking. Full article
(This article belongs to the Special Issue Digital Twin in the Construction Industry—Advances and Challenges)
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Review

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23 pages, 1774 KiB  
Review
A Review of Digital Twin Technologies for Enhanced Sustainability in the Construction Industry
by Zichao Zhang, Zhuangkun Wei, Samuel Court, Lichao Yang, Shuozhi Wang, Arjun Thirunavukarasu and Yifan Zhao
Buildings 2024, 14(4), 1113; https://doi.org/10.3390/buildings14041113 - 16 Apr 2024
Viewed by 298
Abstract
Carbon emissions present a pressing challenge to the traditional construction industry, urging a fundamental shift towards more sustainable practices and materials. Recent advances in sensors, data fusion techniques, and artificial intelligence have enabled integrated digital technologies (e.g., digital twins) as a promising trend [...] Read more.
Carbon emissions present a pressing challenge to the traditional construction industry, urging a fundamental shift towards more sustainable practices and materials. Recent advances in sensors, data fusion techniques, and artificial intelligence have enabled integrated digital technologies (e.g., digital twins) as a promising trend to achieve emission reduction and net-zero. While digital twins in the construction sector have shown rapid growth in recent years, most applications focus on the improvement of productivity, safety and management. There is a lack of critical review and discussion of state-of-the-art digital twins to improve sustainability in this sector, particularly in reducing carbon emissions. This paper reviews the existing research where digital twins have been directly used to enhance sustainability throughout the entire life cycle of a building (including design, construction, operation and maintenance, renovation, and demolition). Additionally, we introduce a conceptual framework for this industry, which involves the elements of the entire digital twin implementation process, and discuss the challenges faced during deployment, along with potential research opportunities. A proof-of-concept example is also presented to demonstrate the validity of the proposed conceptual framework and potential of digital twins for enhanced sustainability. This study aims to inspire more forward-thinking research and innovation to fully exploit digital twin technologies and transform the traditional construction industry into a more sustainable sector. Full article
(This article belongs to the Special Issue Digital Twin in the Construction Industry—Advances and Challenges)
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