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Applied Sciences
Special Issues
Recent Advances in the Digital Construction Industry and Its Applications
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Recent Advances in the Digital Construction Industry and Its Applications

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Industrial Technologies".

Deadline for manuscript submissions: 31 October 2024 | Viewed by 2016

Special Issue Editors

Prof. Dr. Edison Atencio

E-Mail Website
Guest Editor
School of Civil Engineering, Pontificia Universidad Católica de Valparaíso, Av. Brasil 2147, Valparaíso 2340000, Chile
Interests: project management; industry 4.0; construction 4.0; sustainable mining
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Felipe Muñoz-La Rivera

E-Mail Website
Guest Editor
School of Civil Engineering, Pontificia Universidad Católica de Valparaíso, Valparaíso 2340025, Chile
Interests: virtual and design construction (VDC); building information modeling (BIM); extended reality (XR) in AEC industry; technologies in AEC industry; project management (PM); engineering education (EE)
Dr. Rodrigo F. Herrera

E-Mail Website
Guest Editor
School of Civil Engineering, Pontificia Universidad Católica de Valparaíso, Valparaíso 2340000, Chile
Interests: lean management; lean construction; lean design; virtual design and construction; engineering education
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In the rapidly evolving construction industry, the advent of digital technologies has ushered in a new era of efficiency, sustainability, and innovation. This Special Issue titled "Recent Advances in the Digital Construction Industry and Its Applications" highlights the transformative impacts of digital tools and methodologies on the construction sector. This Special Issue explores novel developments related to Construction 4.0, such as building information modeling (BIM), digital twins, augmented and virtual reality applications and artificial intelligence for optimized design, and construction and infrastructure operations management. It also delves into the role of IoT devices in enhancing site safety, monitoring construction progress in real time, and improving infrastructure lifecycle management.

This Special Issue also explores digital technologies’ inter-relationships with an organization, enhancing construction field operations and supporting back-office processes.

We invite contributors to submit papers outlining innovative ideas and scientific findings related to the digital construction industry and its applications to provide a comprehensive overview of the current research, case studies, and creative solutions shaping the construction industry's future, offering insights and directions for academia, industry practitioners, and policymakers engaged in the digital transformation of construction.

Prof. Dr. Edison Atencio
Prof. Dr. Felipe Muñoz-La Rivera
Dr. Rodrigo F. Herrera
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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2400 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

  • Construction 4.0
  • digital construction
  • building information modeling (BIM)
  • virtual design and construction (VDC)
  • digital twins
  • augmented reality (AR)
  • virtual reality (VR)
  • mixed reality (MR)
  • artificial intelligence (AI)
  • internet of things (IoT)
  • site safety enhancement
  • construction progress monitoring
  • infrastructure lifecycle management

Published Papers (3 papers)

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Research

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28 pages, 5972 KiB  
Article
Integration of BIM Tools for the Facility Management of Railway Bridges
by Sebastián Cavieres-Lagos, Felipe Muñoz La Rivera, Edison Atencio and Rodrigo F. Herrera
Appl. Sci. 2024, 14(14), 6209; https://doi.org/10.3390/app14146209 - 17 Jul 2024
Viewed by 533
Abstract
Current railway infrastructure maintenance work, which is mostly carried out by visual inspection, has a reactive approach, dissociated information, and limited follow-up. On the other hand, railway bridges, being critical infrastructures, require effective monitoring and maintenance to guarantee their safety and operation over [...] Read more.
Current railway infrastructure maintenance work, which is mostly carried out by visual inspection, has a reactive approach, dissociated information, and limited follow-up. On the other hand, railway bridges, being critical infrastructures, require effective monitoring and maintenance to guarantee their safety and operation over time. The designed tool links a parametric BIM model in Revit® with an automated spreadsheet in MS Excel® through visual programming in Dynamo, generating BIM/data automation as an initial step towards a digital twin. This achieves a bidirectional flow to exchange data on the structural condition of elements. The procedure was applied to a railway bridge in use for over 100 years, representing its geometry and damage information according to technical standards. The value lies in laying the foundations for adopting preventive approaches for this key infrastructure. The BIM/data automation allows the BIM model to visually reflect the condition of the elements, depending on their damage, consolidate the inspection information, and generate a visual management tool. In conclusion, the designed BIM/data automation improves the monitoring of railway bridges compared to traditional methods, facilitating the interaction and relationship between the damage records and the actual bridge elements, laying the foundations for the construction of digital twins. Full article
(This article belongs to the Special Issue Recent Advances in the Digital Construction Industry and Its Applications)
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16 pages, 12018 KiB  
Article
Determination of Accuracy and Usability of a SLAM Scanner GeoSLAM Zeb Horizon: A Bridge Structure Case Study
by Rudolf Urban, Martin Štroner, Jaroslav Braun, Tomáš Suk, Ľudovít Kovanič and Peter Blistan
Appl. Sci. 2024, 14(12), 5258; https://doi.org/10.3390/app14125258 - 18 Jun 2024
Viewed by 545
Abstract
The presented paper focuses on testing the performance of a SLAM scanner Zeb Horizon by GeoSLAM for the creation of a digital model of a bridge construction. A cloud acquired using a static scanner Leica ScanStation P40 served as a reference. Clouds from [...] Read more.
The presented paper focuses on testing the performance of a SLAM scanner Zeb Horizon by GeoSLAM for the creation of a digital model of a bridge construction. A cloud acquired using a static scanner Leica ScanStation P40 served as a reference. Clouds from both scanners were registered into the same coordinate system using a Trimble S9 HP total station. SLAM scanner acquisition was performed independently in two passes. The data acquired using the SLAM scanner suffered from relatively high noise. Denoising using the MLS (Moving Least Squares) method was performed to reduce noise. An overall comparison of the point clouds was performed on both the original and MLS-smoothed data. In addition, the ICP (Iterative Closest Point) algorithm was also used to evaluate local accuracy. The RMSDs of MLS-denoised data were approximately 0.02 m for both GeoSLAM passes. Subsequently, a more detailed analysis was performed, calculating RMSDs for several profiles of the construction. This analysis revealed that the deviations of SLAM data from the reference data did not exceed 0.03 m in any direction (longitudinal, transverse, elevation) which is, considering the length of the bridge of 133 m, a very good result. These results demonstrate a high applicability of the tested scanner for many applications, such as the creation of digital twins. Full article
(This article belongs to the Special Issue Recent Advances in the Digital Construction Industry and Its Applications)
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Review

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25 pages, 2337 KiB  
Review
Construction 4.0: A Systematic Review of Its Application in Developing Countries
by Shubham V. Jaiswal, Dexter V. L. Hunt and Richard J. Davies
Appl. Sci. 2024, 14(14), 6197; https://doi.org/10.3390/app14146197 - 17 Jul 2024
Viewed by 652
Abstract
This study conducts a literature review to analyse the incorporation of Industry 4.0 in the construction sector, known as Construction 4.0, in developing countries. This study utilises an effective technique, encompassing academic databases, journals, and conference proceedings, to carefully examine relevant studies published [...] Read more.
This study conducts a literature review to analyse the incorporation of Industry 4.0 in the construction sector, known as Construction 4.0, in developing countries. This study utilises an effective technique, encompassing academic databases, journals, and conference proceedings, to carefully examine relevant studies published with respect to developing countries. The primary areas of emphasis involve the definition of Construction 4.0. The technologies of execution include six cutting-edge technologies such as Building Information Modelling (BIM), Internet of Things (IoT), robotics, 3D printing, UAVs, and artificial intelligence in construction procedures. This analysis also explores the awareness and understanding of Industry 4.0 in the construction sector (Construction 4.0) in developing countries before identifying where it is being applied therein. Furthermore, obstacles that impede the mainstream adoption in developing countries are identified, including but not limited to such things as insufficient technological infrastructure, skill deficiencies, and budgetary limitations. This review consolidates various studies to provide a thorough comprehension of the present condition of Construction 4.0 in developing nations. As such, this paper aims to provide a guide for future research, policy making, and industry practices in order to promote sustainable and technologically advanced construction methods in these settings. Full article
(This article belongs to the Special Issue Recent Advances in the Digital Construction Industry and Its Applications)
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