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Sustainability
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Human-Cyber-Physical Systems (H-CPS) for Intelligent Civil Infrastructure Operation and Maintenance
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Human-Cyber-Physical Systems (H-CPS) for Intelligent Civil Infrastructure Operation and Maintenance

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 3614

Special Issue Editors

Dr. Zhe Sun

E-Mail Website
Guest Editor
1. Faculty of Architecture, Civil, and Transportation Engineering, Beijing University of Technology, Beijing 100124, China
2. The Key Laboratory of Urban Security and Disaster Engineering of the Ministry of Education, Beijing University of Technology, Beijing 100124, China
Interests: civil infrastructure systems; intelligent operation and maintenance; human systems engineering; digital twin
Dr. Yan Bao

E-Mail Website
Guest Editor
1. Faculty of Architecture, Civil, and Transportation Engineering, Beijing University of Technology, Beijing 100124, China
2. The Key Laboratory of Urban Security and Disaster Engineering of the Ministry of Education, Beijing University of Technology, Beijing 100124, China
Interests: surverying; 3D laser scanning; GIS; GNSS
Prof. Dr. Xiaolin Meng

E-Mail Website
Guest Editor
1. Faculty of Architecture, Civil, and Transportation Engineering, Beijing University of Technology, Beijing 100124, China
2. The Key Laboratory of Urban Security and Disaster Engineering of the Ministry of Education, Beijing University of Technology, Beijing 100124, China
Interests: structural health monitoring; remote sensing; smart city
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Civil infrastructure (CI) requires effective system-level operation and maintenance (O&M) processes to ensure safety and efficiency. Unfortunately, the Architecture, Engineering, and Construction (AEC) industry has lagged behind digitally compared to other industry sectors. Both academics and practitioners have realized the importance of implementing emerging technologies and algorithms for ensuring safe and efficient civil CI O&M. In addition, various interactions among human, cyber, and physical environments are the new normal during tedious CI O&M processes. Capturing all of these interactions based on emerging information technologies and concepts to enable intelligent CI O&M processes is undoubtedly essential.

Therefore, the overall goal of this Special Issue is to gather original contributions and review articles focusing on human–cyber–physical systems (H-CPS) for intelligent civil infrastructure operation and maintenance aspects. In this Special Issue, original research and review articles are both welcome. Research areas may include (but are not limited to) the following:

  • Automation in construction;
  • Construction management;
  • Intelligent operation and maintenance;
  • Sensing techniques;
  • Human factors;
  • Human-centered automation;
  • Building information modelling (BIM);
  • Augmented reality (AR)/Virtual reality (VR)/Mixed reality (MR);
  • Cyber environments and security.

We look forward to receiving your contributions.

Dr. Zhe Sun
Dr. Yan Bao
Prof. Dr. Xiaolin Meng
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. Sustainability 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 management
  • operation and maintenance
  • automation in construction
  • human factors
  • cyber security

Published Papers (2 papers)

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Research

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17 pages, 5818 KiB  
Article
Research on Full-Element and Multi-Time-Scale Modeling Method of BIM for Lean Construction
by Xuefeng Zhao, Haodong Chen, Jing Liu, Jiaqi Liu, Meng Zhang, Yibing Tao, Junbo Li and Xuyang Wang
Sustainability 2023, 15(17), 12717; https://doi.org/10.3390/su151712717 - 22 Aug 2023
Viewed by 1015
Abstract
Building Information Modeling (BIM) is a very effective technology for supporting lean construction. However, the current application of BIM during the construction phase does not incorporate all necessary elements of the construction site in a comprehensive manner. Additionally, the depiction of the construction [...] Read more.
Building Information Modeling (BIM) is a very effective technology for supporting lean construction. However, the current application of BIM during the construction phase does not incorporate all necessary elements of the construction site in a comprehensive manner. Additionally, the depiction of the construction process lacks the desired level of detail. These limitations impede the application of BIM-based lean construction. In this paper, we propose a full-element and multi-time-scale modeling approach to BIM during the construction phase. Our method first establishes a full-element model by reconstructing the main body of the building based on construction subdivision dimensions, construction technology, and management objectives. We then create a three-dimensional model that includes a process elements model of circulating materials, temporary facilities, construction machinery, and surrounding environmental elements. The integrated model of these elements provides a comprehensive representation of BIM at any static time point. Second, we conduct multi-time-scale simulations based on the full-element model. Our approach divides the entire time, local time, and special time points into three scales to simulate project progress, local structure construction technology, and working conditions. A case study of the Daxing International Airport construction project verifies that our method can achieve lean management of construction resources. Full-element modeling provides a comprehensive BIM representation at any static time point, thereby supporting lean construction by improving construction resource management, reducing costs, and enhancing efficiency. Full article
(This article belongs to the Special Issue Human-Cyber-Physical Systems (H-CPS) for Intelligent Civil Infrastructure Operation and Maintenance)
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Review

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28 pages, 6888 KiB  
Review
A Critical Review for Trustworthy and Explainable Structural Health Monitoring and Risk Prognosis of Bridges with Human-In-The-Loop
by Zhe Sun, Tiantian Chen, Xiaolin Meng, Yan Bao, Liangliang Hu and Ruirui Zhao
Sustainability 2023, 15(8), 6389; https://doi.org/10.3390/su15086389 - 07 Apr 2023
Cited by 2 | Viewed by 1752
Abstract
Trustworthy and explainable structural health monitoring (SHM) of bridges is crucial for ensuring the safe maintenance and operation of deficient structures. Unfortunately, existing SHM methods pose various challenges that interweave cognitive, technical, and decision-making processes. Recent development of emerging sensing devices and technologies [...] Read more.
Trustworthy and explainable structural health monitoring (SHM) of bridges is crucial for ensuring the safe maintenance and operation of deficient structures. Unfortunately, existing SHM methods pose various challenges that interweave cognitive, technical, and decision-making processes. Recent development of emerging sensing devices and technologies enables intelligent acquisition and processing of massive spatiotemporal data. However, such processes always involve human-in-the-loop (HITL), which introduces redundancies and errors that lead to unreliable SHM and service safety diagnosis of bridges. Comprehending human-cyber (HC) reliability issues during SHM processes is necessary for ensuring the reliable SHM of bridges. This study aims at synthesizing studies related to HC reliability for supporting the trustworthy and explainable SHM of bridges. The authors use a bridge inspection case to lead a synthesis of studies that examined techniques relevant to the identified HC reliability issues. This synthesis revealed challenges that impede the industry from monitoring, predicting, and controlling HC reliability in bridges. In conclusion, a research road map was provided for addressing the identified challenges. Full article
(This article belongs to the Special Issue Human-Cyber-Physical Systems (H-CPS) for Intelligent Civil Infrastructure Operation and Maintenance)
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