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Advanced Services for the Architecture, Engineering, and Construction Industry
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Advanced Services for the Architecture, Engineering, and Construction Industry

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

Deadline for manuscript submissions: 20 July 2025 | Viewed by 2660

Special Issue Editors

Dr. Andrei Crisan

E-Mail Website
Guest Editor
Department of Steel Structures and Structural, Faculty of Civil Engineering, Politehnica University of Timisoara, 300224 Timisoara, Romania
Interests: digitalization; BIM; advanced numerical simulations; AR/VR/MR
Prof. Dr. Sorin Herban

E-Mail Website
Guest Editor
Department of Overland Communication Ways, Foundation and Cadastral Survey, Faculty of Civil Engineering, Politehnica University of Timisoara, 300224 Timisoara, Romania
Interests: remote sensing; ‪cultural heritage; ‪webGIS platforms;‬ precise topographic measurements
Prof. Dr. Lars Abrahamczyk

E-Mail Website
Guest Editor
Chair of Advanced Structures, Bauhaus Universitaet Weimar, 99423 Weimar, Germany
Interests: safety engineering; risk assessment; vulnerability assessment; finite element modeling
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The AECO industry (architecture, engineering, construction, and operations) is currently undergoing a fundamental transformation driven by digitalization. The adoption of advanced information and communication technologies is enhancing efficiency, sustainability, and overall project quality.

This Special Issue of Applied Sciences, titled "Advanced Services for the Architecture, Engineering, and Construction Industry", focuses on the integration of cutting-edge tools and methodologies into construction engineering, with a particular emphasis on building information modelling (BIM), digital twins, 3D scanning and modelling, advanced numerical simulations, and structural monitoring. This Special Issue aims to provide a comprehensive overview of the state of the art in construction services and to offer valuable insights into emerging trends (e.g., 3D printing, BIM-enabled digital building permits, drone-enabled 3D scanning), technological innovations (e.g., augmented reality/virtual reality, Internet of Things, off-site construction), lessons learned, and best practices. By bringing together researchers, practitioners, and industry experts, this Special Issue aims to foster interdisciplinary collaboration and drive the advancement of construction engineering practices.

Dr. Andrei Crisan
Prof. Dr. Sorin Herban
Prof. Dr. Lars Abrahamczyk
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

  • BIM
  • 3D scanning
  • parametric modelling
  • IoT
  • digital building permits
  • AR/VR/MR

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Published Papers (4 papers)

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Research

23 pages, 10294 KiB  
Article
Machine Learning-Based 3D Soil Layer Reconstruction in Foundation Pit Engineering
by Chenxi Zhang, Nan Li, Xiuping Dong, Bin Liu and Meilian Liu
Appl. Sci. 2025, 15(8), 4078; https://doi.org/10.3390/app15084078 - 8 Apr 2025
Viewed by 259
Abstract
In the construction of deep foundation pits, early warning measures are essential to reduce construction risks and prevent personnel injuries. In underground structure and pressure analysis, soil layer and support structure data are indispensable. Therefore, soil layer reconstruction serves as a critical step, [...] Read more.
In the construction of deep foundation pits, early warning measures are essential to reduce construction risks and prevent personnel injuries. In underground structure and pressure analysis, soil layer and support structure data are indispensable. Therefore, soil layer reconstruction serves as a critical step, while sparse borehole data limit the accuracy of traditional reconstruction methods. This paper proposes a machine learning-based soil layer reconstruction method to address this issue. First, various types of borehole and soil layer data are generated by simulating the formation process of Earth’s soil layers, thereby providing sufficient training data. Subsequently, a coding algorithm is designed to extract soil layer features as inputs for the convolutional neural network. Finally, 3D meshing is performed on the soil layer generated from real boreholes, and soil model rendering is achieved through a voxel clustering algorithm. The algorithm achieved an accuracy rate of over 90% in tests and demonstrated excellent robustness. By applying this algorithm, we successfully reconstructed the soil layers at a typical foundation pit site in a Chinese city, validating its effectiveness in real-world scenarios and its potential for large-scale engineering applications. Full article
(This article belongs to the Special Issue Advanced Services for the Architecture, Engineering, and Construction Industry)
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28 pages, 15134 KiB  
Article
Assessing the Interplay of Indoor Environmental Quality, Energy Use, and Environmental Impacts in Educational Buildings
by Tania Rus, Raluca-Paula Moldovan, Maria Ileana Pop and Ana-Maria Moldovan
Appl. Sci. 2025, 15(7), 3591; https://doi.org/10.3390/app15073591 - 25 Mar 2025
Viewed by 301
Abstract
We face a significant challenge in balancing the creation of comfortable built environments with the pressing need to minimize energy consumption and environmental impacts. Meeting this challenge demands a proactive approach. This research explores the interplay between indoor environmental quality (IEQ), energy use, [...] Read more.
We face a significant challenge in balancing the creation of comfortable built environments with the pressing need to minimize energy consumption and environmental impacts. Meeting this challenge demands a proactive approach. This research explores the interplay between indoor environmental quality (IEQ), energy use, and environmental impacts in an educational building throughout an academic year. The methodology integrates experimental campaigns for the assessment of IEQ parameters, the analysis of data on energy consumption, and the environmental impact calculations and simulations. The IEQ monitoring results for the academic year reveal a mean indoor air temperature of 26.49 °C, a CO2 concentration of 805.83 ppm, an illuminance of 335.83 lx, and a sound level of 51.03 dB. To assess the building’s compliance with the energy efficiency regulations, the energy use intensity was calculated to be 90.19 kWh/m2/year, The environmental impact assessment revealed a global warming potential of 120,199.82 kg CO2e/year, with natural gas consumption contributing 61.72%. The analysis of the results uncovered challenges in IEQ and opportunities for improvement. A 1 °C reduction in the indoor temperature during the heating months may result in environmental benefits, including a potential decrease of 1.17 kg CO2e/m2. This study recommends integrated, intelligent control systems and a holistic strategy to optimize the energy use while maintaining the proper IEQ in educational settings. Full article
(This article belongs to the Special Issue Advanced Services for the Architecture, Engineering, and Construction Industry)
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24 pages, 8664 KiB  
Article
Massive Data Capture Approach for Modeling Existing Building Stocks
by David Infantes-Lopez, Albert Sanchez-Riera, Jordi Casals Fernandez and Oriol Pons-Valladares
Appl. Sci. 2025, 15(4), 1995; https://doi.org/10.3390/app15041995 - 14 Feb 2025
Viewed by 445
Abstract
This research paper aims to develop an approach for the digitalization of non-heritage building stock. Existing building stocks in need of rehabilitation are still not subject to optimized, massive digital surveying processes. Thus, it is difficult to assess the performance of the stock [...] Read more.
This research paper aims to develop an approach for the digitalization of non-heritage building stock. Existing building stocks in need of rehabilitation are still not subject to optimized, massive digital surveying processes. Thus, it is difficult to assess the performance of the stock in its current state and after potential retrofitting. While massive data capture is being used to model heritage cases with high precision for preservation and documentation projects, this research paper aims to develop an approach for the digitalization of non-heritage building stock that allows for broader implementation, quicker results, and higher scalability, reducing the time required for data capture but still being precise enough for rehabilitation processes. The novel approach combines a laser scanner, thermal infrared sensing, high-quality pictures (HQPs), and automatic frame extraction (AFE) from video. Data preparation for three-dimensional reconstruction is the main novelty of this approach, which has been validated to obtain the surroundings and building information model (BIM) of the reference building for Barcelona schools. The results coincide with previous projects regarding the high precision of a laser scanner and the coverage of photogrammetry. New findings indicate that HQPs are a highly efficient method. Its combination with AFE provides higher levels of coverage. The proposed approach moves forward from the manually modeled BIM misalignments and enables modeling entire clusters to obtain digital twin building stock to ease future management of existing buildings. Full article
(This article belongs to the Special Issue Advanced Services for the Architecture, Engineering, and Construction Industry)
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33 pages, 6386 KiB  
Article
A BIM-Enabled Workflow for the Rehabilitation of Heritage Steel Bridges
by Andrei Crisan, Andreia Juravle and Radu Bancila
Appl. Sci. 2025, 15(2), 677; https://doi.org/10.3390/app15020677 - 11 Jan 2025
Viewed by 1021
Abstract
The rehabilitation of heritage steel bridges raises specific challenges due to their historical significance and structural complexity. These structures, often subjected to ageing, corrosion, and insufficient documentation, require specialized approaches that balance preservation with modern infrastructure demands. In this context, digitalization offers a [...] Read more.
The rehabilitation of heritage steel bridges raises specific challenges due to their historical significance and structural complexity. These structures, often subjected to ageing, corrosion, and insufficient documentation, require specialized approaches that balance preservation with modern infrastructure demands. In this context, digitalization offers a transformative pathway, enabling more precise maintenance planning, enhanced decision-making, and better alignment with sustainability goals, with Building Information Modelling (BIM) fostering seamless information transfer and integration across project lifecycle. This paper highlights the potential of BIM in predictive maintenance, resource optimization, and strategic rehabilitation planning. It proposes a structured approach for defining and implementing information requirements (IRs), ensuring alignment between organizational objectives, asset-level needs, and project-specific deliverables. A significant contribution of this research is the development of a template for information delivery specification (IDS), providing a robust framework for data exchange and quality control throughout project phases. The IDS supports the integration of technical and historical data into a centralized digital repository, addressing both operational and heritage preservation needs. Finally, the article discusses structural assessment and strengthening strategies within the BIM workflow, emphasizing their role in achieving efficient and sustainable bridge rehabilitation. Full article
(This article belongs to the Special Issue Advanced Services for the Architecture, Engineering, and Construction Industry)
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