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Challenges of Intelligent Management Approaches in Construction Engineering
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Challenges of Intelligent Management Approaches in Construction Engineering

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 2026 | Viewed by 6117

Special Issue Editors

Prof. Dr. Guofeng Ma

E-Mail Website
Guest Editor
Construction Management and Real Estate, Tongji University, Shanghai 200092, China
Interests: project management; intelligent operation and maintenance; building information modeling; knowledge management
Dr. Zhijiang Wu

E-Mail Website
Guest Editor
College of Architectural Science and Engineering, Yangzhou University, Yangzhou 211189, China
Interests: intelligent management of construction safety; computer vision

Special Issue Information

Dear Colleagues,

Construction engineering often faces significant challenges related to multi-source data management, resulting from the diverse range of construction objects and processes involved. To improve management efficiency, various intelligent management tools, including building information modeling (BIM), construction process simulation, database construction and algorithm development have been implemented. Nevertheless, in practical engineering projects, intelligent management approaches still need to address several persistent issues, such as data fragmentation, model–practice discrepancy, complex management structure, inefficient communication, and suboptimal collaboration. Exploring and devising solutions to these problems is essential for bridging the gap between academic research and practical implementations of intelligent management approaches, ultimately contributing to their promotion. The primary objective of this Special Issue is to explore the contemporary challenges and advancements in intelligent management approaches within the field of construction engineering.

Prof. Dr. Guofeng Ma
Dr. Zhijiang Wu
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 250 words) can be sent to the Editorial Office for assessment.

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

  • intelligent collaborative management
  • construction process simulation
  • multi-objective optimization algorithms
  • construction data integration and processing
  • smart construction platform
  • knowledge and communication management

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Published Papers (3 papers)

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Research

19 pages, 4598 KB  
Article
Research on the Benefits of Intelligent Construction Site Applications—A Case Study in Nanjing City
by Jun You, Xingyuan Ding, Ping Liu and Xiaer Xiahou
Buildings 2026, 16(3), 550; https://doi.org/10.3390/buildings16030550 - 29 Jan 2026
Viewed by 825
Abstract
In the field of construction engineering, utilizing information technology to empower and upgrade traditional construction methods has become an inevitable trend. Intelligent construction sites aim to enhance project management, quality, and safety levels through three layers—digitalization, networking, and intelligentization—by leveraging advanced information technologies [...] Read more.
In the field of construction engineering, utilizing information technology to empower and upgrade traditional construction methods has become an inevitable trend. Intelligent construction sites aim to enhance project management, quality, and safety levels through three layers—digitalization, networking, and intelligentization—by leveraging advanced information technologies such as Building Information Modeling (BIM), the Internet of Things (IoT), intelligent equipment, and big data. To promote the application of intelligent construction site technology, this paper takes intelligent construction sites as the research object, with the analysis of application benefits as the primary research focus. It systematically examines the definition and connotation of intelligent construction sites, reviews the current research status of intelligent construction sites and benefit evaluation theory, and proposes an intelligent construction site application benefit system across five dimensions: economy, product, organization, management, and strategy. Existing benefit assessment studies predominantly adopt single-dimension evaluation approaches, lacking integrated frameworks that combine quantitative and qualitative analysis. Return on Investment (ROI) and Analytic Hierarchy Process (AHP) analysis models are employed to calculate and evaluate the direct and indirect benefits, respectively. Validation was conducted through an actual project, and the results demonstrate that the application of intelligent construction sites yields an ROI of 102.7% based on discounted cash flow analysis (8% social discount rate), with an expert scoring of 9.42 for indirect benefits. The analysis models indicate positive benefits associated with intelligent construction site implementation. While direct causal attribution requires controlled comparison, the observed improvements are consistent with theoretical expectations and industry benchmarks for intelligent construction site adoption. This study verifies the availability of the evaluation system through its application to an actual project. It is hoped that this research will provide a reference for decision-making regarding the application and promotion of intelligent construction sites. Full article
(This article belongs to the Special Issue Challenges of Intelligent Management Approaches in Construction Engineering)
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27 pages, 11253 KB  
Article
Failure Mechanism of Progressive Collapse Induced by Hanger Fracture in Through Tied-Arch Bridge: A Comparative Analysis
by Bing-Hui Fan, Qi Sun, Qiang Chen, Bin-Bin Zhou, Zhi-Jiang Wu and Jin-Qi Zou
Buildings 2025, 15(16), 2810; https://doi.org/10.3390/buildings15162810 - 8 Aug 2025
Viewed by 2361
Abstract
Although through tied-arch bridges exhibit strong structural robustness, collapse incidents triggered by the progressive failure of hangers still occasionally occur. Given that such bridges are unlikely to collapse due to the damage of a single or multiple hangers under the serviceability limit state, [...] Read more.
Although through tied-arch bridges exhibit strong structural robustness, collapse incidents triggered by the progressive failure of hangers still occasionally occur. Given that such bridges are unlikely to collapse due to the damage of a single or multiple hangers under the serviceability limit state, this study focuses on the failure safety limit state. Using the Nanfang’ao Bridge with inclined hangers and the Liujiang Bridge with vertical hangers as case studies, this paper investigates the dynamic response and failure modes of the residual structures when single or multiple hangers fail and initiate progressive collapse of all hangers. The results demonstrate that the configuration of hangers significantly influences the distribution of structural importance coefficients and the load transmission paths. Under identical failure scenarios, the Nanfang’ao Bridge with inclined hangers remains stable after the failure of four hangers without experiencing progressive collapse, whereas the Liujiang Bridge with vertical hangers undergoes progressive failure following the loss of only three hangers, which indicates that inclined hanger configurations offer superior resistance to progressive collapse. Based on the aforementioned analysis, the LS-DYNA Simple–Johnson–Cook damage model was employed to simulate the collapse process. The extent of damage and ultimate failure modes of the two bridges differ significantly. In the case of the Nanfang’ao Bridge, following the progressive failure of the hangers, the bridge deck system lost lateral support, leading to excessive downward deflection. The deck subsequently fractured at the mid-span (1/2 position) and collapsed in an inverted “V” shape. This failure then propagated to the tie bar, inducing outward compression at the arch feet and tensile stress in the arch ribs. Stress concentration at the connection between the arch columns and arch rings ultimately triggered global collapse. For the Liujiang Bridge, failure initiated with localized concrete cracking, which propagated to reinforcing bar yielding, resulting in localized damage within the bridge deck system. These observations indicate that progressive stay cable failure serves as the common initial triggering mechanism for both bridges. However, differences in the structural configuration of the bridge deck systems, the geometry of the arch ribs, and the constraint effects of the tie bar result in distinct failure progression patterns and ultimate collapse behaviors between the two structures. Thereby, design recommendations are proposed for through tied-arch bridges, from the aspects of the hanger, arch rib, bridge deck system, and tie bar, to enhance the resistance to progressive collapse. Full article
(This article belongs to the Special Issue Challenges of Intelligent Management Approaches in Construction Engineering)
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21 pages, 3456 KB  
Article
A Semi-Automatic Ontology Development Framework for Knowledge Transformation of Construction Safety Requirements
by Zhijiang Wu, Mengyao Liu and Guofeng Ma
Buildings 2025, 15(4), 569; https://doi.org/10.3390/buildings15040569 - 13 Feb 2025
Cited by 4 | Viewed by 2109
Abstract
Construction safety requirements (SRs), which serve as critical information encapsulating a wide range of safety-related issues, constitute a fundamental basis for effective construction safety management. The constraints of the complex information characteristics and uncertainty of knowledge migration, however, lead to the failure to [...] Read more.
Construction safety requirements (SRs), which serve as critical information encapsulating a wide range of safety-related issues, constitute a fundamental basis for effective construction safety management. The constraints of the complex information characteristics and uncertainty of knowledge migration, however, lead to the failure to transform most of the requirement information into effective knowledge. This study proposes a multi-stage knowledge transformation framework for realizing the transformation of SRs from abstract information to canonical knowledge, and it accurately completes the knowledge transformation through document matching, knowledge extraction, and knowledge representation. Meanwhile, a semi-automated model was introduced into this study to develop a domain ontology knowledge base for SRs and to represent each type of knowledge through class definitions. The proposed framework was validated by testing project documents collected from two types of building projects, and the results show that the RD-based association rules can accurately match documents associated with SRs and adapt to match different types of sentiment attribute documents. Moreover, the improved TF-IDF algorithm improved by 20% in precision and recall, showing that the algorithm can extract tacit knowledge by combining knowledge points. Further, the domain ontology knowledge base facilitates normative documentation and representation for each type of knowledge in SRs. Full article
(This article belongs to the Special Issue Challenges of Intelligent Management Approaches in Construction Engineering)
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