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Building Information Modeling (BIM) and Digital Twins for Sustainable and Resilient Construction

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

Deadline for manuscript submissions: 20 July 2026 | Viewed by 1116

Special Issue Editor


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Guest Editor
Department of Civil Engineering, University of Alicante, 03690 Alicante, Spain
Interests: BIM; sustainability; digitalization; multifunctional concrete
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue focuses on the transformative integration of Building Information Modeling (BIM) and Digital Twin technologies to advance sustainability and resilience across the construction and built environment lifecycle. It seeks contributions that explore how the seamless, real-time data exchange facilitated by Digital Twins, built upon the structured information backbone of BIM, can fundamentally change how we design, construct, operate, and maintain assets.

Emphasis is placed on sustainability by optimizing energy performance, minimizing material waste, reducing carbon footprints (embodied and operational), and enhancing the circularity of construction materials through advanced modeling, simulation, and predictive analytics.

The Special Issue will also examine the application of these technologies in improving the built environment's capacity to withstand, adapt to, and rapidly recover from disruptive events, including climate change impacts, natural hazards, and operational failures—i.e., its resilience. This includes using Digital Twins for real-time risk assessment, emergency response planning, and lifecycle performance monitoring to ensure long-term structural and functional integrity.

Submissions should highlight novel frameworks, methodologies, case studies, and practical applications that bridge the gap between static BIM models and dynamic Digital Twins, leveraging technologies like IoT (Internet of Things), AI (Artificial Intelligence), Machine Learning, and cloud computing to create intelligent, self-aware, and actionable representations of physical assets.

The goal is to provide a platform for cutting-edge research that defines the future of sustainable and resilient construction through the synergistic power of BIM and Digital Twins.

Dr. Oscar Galao
Guest Editor

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. 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

  • digital twin
  • building information modeling (BIM)
  • sustainable construction
  • resilience engineering
  • lifecycle management

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Published Papers (2 papers)

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Research

21 pages, 6514 KB  
Article
BIM-Based Attention Class Indicators for Network-Scale Road Safety Barrier Asset Management
by Gaetano Bosurgi, Giuseppe Cantisani, Orazio Pellegrino and Giuseppe Sollazzo
Appl. Sci. 2026, 16(9), 4454; https://doi.org/10.3390/app16094454 - 1 May 2026
Abstract
Road safety barriers represent a core component of the road with relevant consequences on effective safety for users. Maintaining these components in adequate conditions, within the quality admissibility thresholds, in compliance with all economic and management constraints, is a primary need for road [...] Read more.
Road safety barriers represent a core component of the road with relevant consequences on effective safety for users. Maintaining these components in adequate conditions, within the quality admissibility thresholds, in compliance with all economic and management constraints, is a primary need for road administrators. In this paper, the authors propose an original procedure to classify the state of efficiency of road safety barriers, at the network scale and relying on conventional administrative data, in an optimized BIM environment, to simplify evaluations and management procedures. Through purpose-built algorithms based on selected geometric and functional parameters of the different road barriers, the algorithm provides a preliminary classification of the various segments, evidencing attention class indicators, useful as preliminary alert signals and for anticipating detailed investigations that can ensure significant economic efficiencies. The method was tested on a 10 km long motorway segment in Italy, evidencing the potential advantages of such an innovative approach to support, as a final goal, a comprehensive infrastructure digital model for virtual inspections, evaluating road component “health” state and properly implementing maintenance strategies. This approach improves network-scale monitoring and maintenance-related activity prioritization phases for road safety barriers, leveraging administrative data. This methodology functions as a BIM-based asset screening tool, as it offers a digital decision support system that identifies critical segments, to optimize the allocation of physical resources and prioritize on-site inspections where they are most needed. Full article
45 pages, 3903 KB  
Article
A CDE-Centered Quality Gate Framework to Operationalize ISO 19650 Governance in Hybrid Railway Depots
by Juan A. García, Ignacio Toledo, Luis Aragonés and Luis Bañón
Appl. Sci. 2026, 16(5), 2562; https://doi.org/10.3390/app16052562 - 6 Mar 2026
Viewed by 552
Abstract
Hybrid railway assets such as workshops and depots combine building, mechanical, electrical and plumbing (MEP)/industrial, and linear infrastructure domains, increasing coordination complexity and challenging continuity from the Project Information Model (PIM) to the Asset Information Model (AIM). Although Employer’s Information Requirements (EIR), Asset [...] Read more.
Hybrid railway assets such as workshops and depots combine building, mechanical, electrical and plumbing (MEP)/industrial, and linear infrastructure domains, increasing coordination complexity and challenging continuity from the Project Information Model (PIM) to the Asset Information Model (AIM). Although Employer’s Information Requirements (EIR), Asset Information Requirements (AIR), and the BIM Execution Plan (BEP) prescribe deliverables and processes, a persistent gap remains between documentary prescriptions and the auditable evidence needed to support traceable decisions within the Common Data Environment (CDE). This paper proposes an ISO 19650-aligned governance framework that operationalizes the EIR/AIR → BEP → CDE transition by: (i) structuring the asset using Functional Units (FUs) as a stable anchor for PIM → AIM continuity; and (ii) implementing a pre-Published Quality Gate that separates control into three non-substitutable dimensions (spatial, semantic, and data). The approach is implemented as a tool-neutral, reproducible workflow (inputs → checks → outputs → publish) and produces a minimal, persistent evidence package in the CDE (file-level report, package summary, publish/hold decision record, and Nonconformity Report (NCR)/BIM Collaboration Format (BCF) traceability), with explicit roles governing the Shared → Published transition. Across 22 Industry Foundation Classes (IFC), deliverables from two depot cases and multiple delivery states, All Gates Pass ranged from 25.0% to 44.4% depending on Case × State; overall, 14/22 deliverables (63.6%) would be held pending correction under the gate. Although validated on Spanish railway depots, the framework is grounded in ISO/openBIM standards and is designed for transferability to other international contexts and complex asset types where multidisciplinary federation and PIM → AIM continuity pose similar challenges. Full article
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