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Transformation in the Building Design and Construction Industry: Smart Technologies,...
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Transformation in the Building Design and Construction Industry: Smart Technologies, Sustainable Practices, and Artificial Intelligence Applications

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

Deadline for manuscript submissions: 31 December 2025 | Viewed by 3494

Special Issue Editors

Dr. Shaghayegh Karimzadeh

E-Mail Website
Guest Editor
Institute for Sustainability and Innovation in Structural Engineering (ISISE), University of Minho, Campus de Azurém, 4800-058 Guimarães, Portugal
Interests: numerical modelling of ground motion records; probabilistic and deterministic seismic hazard analysis; nonlinear time history analysis; seismic vulnerability and risk analysis
Special Issues, Collections and Topics in MDPI journals
Dr. António Aguiar Costa

E-Mail Website
Guest Editor
CERIS—Civil Engineering Research and Innovation for Sustainability, Instituto Superior Técnico, University of Lisbon, Av. Rovisco Pais, 1049-001 Lisbon, Portugal
Interests: BIM; BIM implementation; BIM-LCA; digital construction; intelligent design; intelligent buildings
Special Issues, Collections and Topics in MDPI journals
Dr. Omid Hassanshahi

E-Mail Website
Guest Editor
Institute for Sustainability and Innovation in Structural Engineering (ISISE), University of Minho, Campus de Azurém, 4800-058 Guimarães, Portugal
Interests: fibre reinforced concrete; fiber reinforced polymer; sustainability; GFRP durability; numerical simulation; smart material and structures; reinforced concrete structures; earthquake engineering; finite element simulation

Special Issue Information

Dear Colleagues,

The construction industry is undergoing a profound transformation with the advent of smart technologies, sustainable practices, and the integration of artificial intelligence. These advancements are reshaping how buildings and infrastructure are designed, constructed, and managed, leading to more efficient, resilient, environmentally friendly outcomes, ultimately contributing to the development of disaster-resilient, sustainable and smart cities. We are pleased to announce that Dr. Shaghayegh Karimzadeh, in collaboration with Dr. António Aguiar Costa and Dr. Omid Hassanshahi, will serve as Guest Editor for a Special Issue on "Transformation in the Building Design and Construction Industry: Smart Technologies, Sustainable Practices, and Artificial Intelligence Applications" to explore and showcase the latest developments in this rapidly evolving field.

This Special Issue aims to bring together multidisciplinary scholars, researchers, and practitioners to present original research, review articles, and case studies addressing the intersection of smart, sustainability, and AI approaches in construction materials, infrastructures, and buildings. Topics of interest include, but are not limited to, the following:

  • Artificial intelligence (AI) in assessment, design, management, and construction technologies;
  • Smart/sustainable construction materials and technologies;
  • Robotics and automation in construction processes;
  • Life cycle assessment (LCA) and environmental impact analysis;
  • Durability in material and construction;
  • Energy management and efficiency solutions in construction and infrastructure;
  • Building information modeling (BIM);
  • Natural disaster risk assessment, management, and reduction strategies.

Dr. Shaghayegh Karimzadeh
Dr. António Aguiar Costa
Dr. Omid Hassanshahi
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 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 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

  • smart material and construction
  • sustainable material and construction
  • artificial intelligence (AI)
  • robotics and automation
  • life cycle assessment (LCA)
  • durability
  • health monitoring
  • building information modeling (BIM)
  • natural disaster risk assessment

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (3 papers)

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Research

33 pages, 10824 KiB  
Article
Seismic Performance Assessment of an RC Building Due to 2023 Türkiye Earthquakes: A Case Study in Adıyaman, Türkiye
by Mahmut Bassurucu, Ozgur Yildiz and Ceren Kina
Buildings 2025, 15(4), 521; https://doi.org/10.3390/buildings15040521 - 8 Feb 2025
Cited by 1 | Viewed by 751
Abstract
The 7.7 and 7.6 magnitude Pazarcık and Elbistan earthquakes that struck Kahramanmaraş on 6 February 2023 caused widespread structural damage across many provinces and are considered rare in seismological terms. While many reinforced concrete (RC) buildings designed under current earthquake regulations sustained significant [...] Read more.
The 7.7 and 7.6 magnitude Pazarcık and Elbistan earthquakes that struck Kahramanmaraş on 6 February 2023 caused widespread structural damage across many provinces and are considered rare in seismological terms. While many reinforced concrete (RC) buildings designed under current earthquake regulations sustained significant damage, some older RC buildings with outdated designs sustained only moderate damage. This study aims to analyze the seismic performance of such older RC buildings to understand why they did not collapse or suffer severe damage. An 8-story RC building in Adıyaman province, damaged by the earthquake, was considered for analysis. The region’s seismicity and local site conditions were assessed through borehole operations, geotechnical laboratory tests, and seismic field tests. The soil profile was modeled, and one-dimensional seismic site response analyses were performed using records from nearby stations (TK 4615 Pazarcık and TK 4612 Göksun stations) to determine the foundation-level earthquake record. Nonlinear static pushover analysis was carried out via SAP2000 and STA4CAD, utilizing site response analysis and test results taken from the reinforcement and concrete samples of the building. The findings, compared with the observed damage, provide insights into the performance of older RC buildings in this region. Full article
(This article belongs to the Special Issue Transformation in the Building Design and Construction Industry: Smart Technologies, Sustainable Practices, and Artificial Intelligence Applications)
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21 pages, 5870 KiB  
Article
Integrating Experimental Analysis and Gradient Boosting for the Durability Assessment of Lime-Based Mortar in Acidic Environment
by Ali Taheri, Nima Azimi, Daniel V. Oliveira, Joaquim Tinoco and Paulo B. Lourenço
Buildings 2025, 15(3), 408; https://doi.org/10.3390/buildings15030408 - 28 Jan 2025
Viewed by 801
Abstract
This paper presents a comprehensive study of the mechanical properties of lime-based mortar in an acidic environment, employing both experimental analysis and machine learning to model techniques. Despite the extensive use of lime-based mortar in construction, particularly for the strengthening of structures as [...] Read more.
This paper presents a comprehensive study of the mechanical properties of lime-based mortar in an acidic environment, employing both experimental analysis and machine learning to model techniques. Despite the extensive use of lime-based mortar in construction, particularly for the strengthening of structures as externally bonded materials, its behavior under acidic conditions remains poorly understood in the literature. This study aims to address this gap by investigating the mechanical performance of lime-based mortar under prolonged exposure to acidic environments, laying the groundwork for further research in this critical area. In the experimental phase, a commercial hydraulic lime-based mortar was subjected to varying environmental conditions, including acidic solution immersion with a pH of 3.0, distilled water immersion, and dry storage. Subsequently, the specimens were tested under flexure following exposure durations of 1000, 3000, and 5000 h. In the modeling phase, the extreme gradient boosting (XGBoost) algorithm was deployed to predict the mechanical properties of the lime-based mortar by 1000, 3000, and 5000 h of exposure. Using the experimental data, the machine learning models were trained to capture the complex relationships between the stress-displacement curve (as the output) and various environmental and mechanical properties, including density, corrosion, moisture, and exposure duration (as input features). The predictive models demonstrated remarkable accuracy and generalization (using a 4-fold cross-validation approach) capabilities (R2 = 0.984 and RMSE = 0.116, for testing dataset), offering a reliable tool for estimating the mortar’s behavior over extended periods in an acidic environment. The comparative analysis demonstrated that mortar samples exposed to an acidic environment reached peak values at 3000 h of exposure, followed by a decrease in the mechanical properties with prolonged acidic exposure. In contrast, specimens exposed to distilled water and dry conditions exhibited an earlier onset of strength increase, indicating different material responses under varying environmental conditions. Full article
(This article belongs to the Special Issue Transformation in the Building Design and Construction Industry: Smart Technologies, Sustainable Practices, and Artificial Intelligence Applications)
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19 pages, 2483 KiB  
Article
Environmental Assessment of Calcium Sulfoaluminate Cement: A Monte Carlo Simulation in an Industrial Symbiosis Framework
by Meltem Tanguler-Bayramtan, Can B. Aktas and Ismail Ozgur Yaman
Buildings 2024, 14(11), 3673; https://doi.org/10.3390/buildings14113673 - 18 Nov 2024
Viewed by 1267
Abstract
Calcium sulfoaluminate (CSA) cement is recognized as an environmentally friendly alternative to Portland cement (PC) due to its lower carbon footprint and energy requirements. However, traditional CSA cement production faces significant obstacles, including the high cost and regionally constrained availability of bauxite, a [...] Read more.
Calcium sulfoaluminate (CSA) cement is recognized as an environmentally friendly alternative to Portland cement (PC) due to its lower carbon footprint and energy requirements. However, traditional CSA cement production faces significant obstacles, including the high cost and regionally constrained availability of bauxite, a key raw material. Utilizing alternative materials in the production process offers a viable approach to address these limitations. This study evaluated the environmental performance of three laboratory-synthesized CSA cements using alternative raw materials sourced through an industrial symbiosis framework. A comparative assessment with PC was conducted, focusing on energy consumption and CO2 emissions as key environmental performance indicators. The environmental impact of the CSA cements was analyzed using Monte Carlo simulations, a robust statistical approach based on data for the constituent raw materials. This method provides a practical alternative to a full life cycle assessment (LCA) when comprehensive data are not available. The results demonstrate that the CSA cements have significantly lower environmental impacts compared to PC, achieving energy savings of 13–16% and CO2 emission reductions of 35–48%. These results emphasize the potential of industrial symbiosis to enable more sustainable CSA cement production while addressing raw material constraints. In addition, this approach highlights the wider applicability of industrial symbiosis frameworks in the construction industry, contributing to a zero-waste future and supporting global climate goals. Full article
(This article belongs to the Special Issue Transformation in the Building Design and Construction Industry: Smart Technologies, Sustainable Practices, and Artificial Intelligence Applications)
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