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    <title>Transport Research International Documentation (TRID)</title>
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    <copyright>Copyright © 2026. National Academy of Sciences. All rights reserved.</copyright>
    <docs>http://blogs.law.harvard.edu/tech/rss</docs>
    <managingEditor>tris-trb@nas.edu (Bill McLeod)</managingEditor>
    <webMaster>tris-trb@nas.edu (Bill McLeod)</webMaster>
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      <title>Transport Research International Documentation (TRID)</title>
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      <link>https://trid.trb.org/</link>
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      <title>Improving the decision-making and planning of future railway bridge interventions through digitalisation</title>
      <link>https://trid.trb.org/View/2708287</link>
      <description><![CDATA[Railway bridge managers estimate the intervention requirements years in advance, which include their associated costs, required track possession times to execute interventions, and failure risks. They communicate this information to multiple stakeholders involved in the intervention planning process using reports and tables. As it is difficult for stakeholders to process all the information in short periods of time this process can lead to misinterpretations, which in turn can lead to multiple iterations and discussions. With the rise of predictive algorithms and building information models (BIMs) to predict, plan, and manage future interventions, there is now an opportunity to use these tools to improve the efficiency of the planning process. This work presents a methodology to do this, i.e., to demonstrate how predictive algorithms can be connected to BIM to facilitate discussions of the multiple stakeholders involved in the intervention planning process, and how the process can be improved. The methodology is demonstrated on a 25 km railway network in Switzerland consisting of 30 bridges.]]></description>
      <pubDate>Wed, 03 Jun 2026 09:07:20 GMT</pubDate>
      <guid>https://trid.trb.org/View/2708287</guid>
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    <item>
      <title>BIM-Supported Performance-Based Asset Management</title>
      <link>https://trid.trb.org/View/2668476</link>
      <description><![CDATA[Asset management (AM) strategies have shifted from reactive, schedule-based approaches to more proactive, data-driven, and performance-oriented frameworks. The Performance-Based Asset Management (PBAM) represents a systematic process that uses performance metrics and goals to guide decisions during the life cycle of infrastructure assets. It is characterised by outcome-driven planning, life cycle costing, risk management, and data-informed decisions and aligns with international standards such as ISO 55000ff.]]></description>
      <pubDate>Tue, 26 May 2026 09:41:03 GMT</pubDate>
      <guid>https://trid.trb.org/View/2668476</guid>
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      <title>Asset Management</title>
      <link>https://trid.trb.org/View/2668473</link>
      <description><![CDATA[Good asset management is fundamental to every road authority to ensure it can effectively manage its assets through the asset lifecycle. Asset management requires the ability to balance cost, risk and performance. PIARC Technical Committee 3.3 on Asset Management is looking to further improve the collective understanding of asset management with a view to more effective management of assets to optimise asset performance.]]></description>
      <pubDate>Tue, 26 May 2026 09:41:02 GMT</pubDate>
      <guid>https://trid.trb.org/View/2668473</guid>
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      <title>Stress and Deformation Monitoring and Optimization in Bridge Construction Stage Based on BIM Technology</title>
      <link>https://trid.trb.org/View/2688604</link>
      <description><![CDATA[With the acceleration of urbanization, bridges, as an important part of transportation infrastructure, have attracted much attention to their construction quality and safety. At present, traditional construction methods have many shortcomings in stress and deformation control. In response to this problem, this study provides a new solution for bridge construction by introducing building information modeling (BIM) technology. Based on BIM technology, stress and deformation monitoring during bridge construction stages is optimized to improve construction accuracy and safety. This study first establishes a BIM model of the bridge, and predicts the stress and deformation during different construction stages by simulating the construction process. On this basis, a real-time monitoring system is designed to combine sensor technology and data acquisition to achieve real-time monitoring of stress and deformation during bridge construction. The experimental results show that compared with traditional methods, the use of BIM technology reduces stress prediction error by 20% and deformation prediction error by 15%. Based on the optimization strategy of the BIM model, by adjusting the construction sequence and optimizing the construction parameters, the problems of stress concentration and excessive deformation during the construction process are effectively reduced. By optimizing the construction sequence, the peak stress is reduced by 25%; by adjusting the construction parameters, the maximum deformation was reduced by 30%. The research on stress and deformation monitoring and optimization during bridge construction based on BIM technology not only improves the controllability of the construction process, but also provides a new technological path for the field of bridge construction.]]></description>
      <pubDate>Tue, 19 May 2026 15:12:27 GMT</pubDate>
      <guid>https://trid.trb.org/View/2688604</guid>
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    <item>
      <title>Building information modeling supported bridge structural health diagnosis and prognosis</title>
      <link>https://trid.trb.org/View/2672028</link>
      <description><![CDATA[This study introduced a framework that facilitates bridge diagnostic and prognostic evaluations and related visualizations, leveraging building information modeling (BIM) techniques and data-driven structural health monitoring. Diagnostic and prognostic algorithms are proposed and able to provide intuitive and accessible structural insights via three-dimensional visualizations supported by the BIM techniques. Through the data communication channel established, virtual model information was successfully embedded into the bridge health evaluations, emphasizing the contribution of BIM techniques for data analysis. The proposed algorithms were applied to a case study of a reinforced concrete bridge. Strain distribution along the bridge deck was mapped in the 3D virtual model, which was able to precisely identify the critical location for potential damage. The residual fatigue life of different parts of the bridge deck was estimated and visualized by considering the main effects of traffic loading, exhibiting good alignments with the diagnostic results. The proposed framework is able to provide understandable and actionable structural information for stakeholders, facilitating the timely identification of structural issues and long-term planning of maintenance schedules.]]></description>
      <pubDate>Mon, 18 May 2026 16:36:42 GMT</pubDate>
      <guid>https://trid.trb.org/View/2672028</guid>
    </item>
    <item>
      <title>Improving the Efficiency of Road Construction Projects through Building Information Modeling (BIM) for Infrastructure</title>
      <link>https://trid.trb.org/View/2640273</link>
      <description><![CDATA[Infrastructure projects, particularly road development, are critical and substantial financial investments in modern societies. Consequently, industry and academia collaborate to advance the methodologies in designing and implementing such projects, leveraging contemporary technologies such as building information modeling (BIM). However, the use of BIM in road projects faces several barriers, such as inefficiencies in checking models. To address that, in this paper, the authors developed a new BIM-based model checking method for road projects, based on invariant signatures of architecture, engineering, and construction (AEC) objects and industry foundation classes (IFC) standards. The focus is on two primary categories: pavement and drainage. Due to the inherent difficulties of ensuring quality assurance (QA) in the IFC model, the developed BIM-based workflow aims to establish a systematic QA approach and tool for identifying distinct components within road projects implemented in the IFC format, which offers several advantages. Firstly, it provides comprehensive information regarding the geometry and components of the project, thereby reducing the likelihood of errors and enhancing the effectiveness of conveying the design solution. Secondly, BIM facilitates visualization and virtual representation of the drainage and pavement works, enabling automatic detection and classification of road assets. Lastly, utilizing clash detection within the BIM workflow effectively resolves coordination issues that may arise during the project. The research findings contribute to optimizing time and cost management and enhancing project performance for designers and decision-makers involved in road projects by utilizing BIM and IFC throughout the whole life cycle of such projects.]]></description>
      <pubDate>Tue, 28 Apr 2026 12:18:37 GMT</pubDate>
      <guid>https://trid.trb.org/View/2640273</guid>
    </item>
    <item>
      <title>Developing Digital Twins for Real-Time Bridge Structural Health Monitoring by Integrating Scan-to-BrIM Remote Sensing Technologies, Photogrammetry-Based 3D Scanning, Finite Element Modeling, and IoT Sensing</title>
      <link>https://trid.trb.org/View/2640355</link>
      <description><![CDATA[Bridge structural health monitoring (SHM) is a crucial task for ensuring the safety, reliability, and longevity of bridges. While plenty of digital twin (DT)-based bridge management systems have been developed, they commonly suffer from low efficiency with digital bridge model generation and insufficiency to visualize the structural responses globally. Thus, this paper proposes a framework integrating scan-to-BrIM (bridge information model)-based finite element analysis with the Internet of Things (IoT) to develop numerical simulation-enabled DT for addressing the two aforementioned limitations. The proposed framework was tested on a prototype 3D-printed bridge through a case study to dynamically visualize structural deformation induced by thermal loads for the entire bridge model. Experimental results revealed that the photogrammetry-based 3D-scanned bridge model could efficiently support finite element model generation, and the real-time structural response visualization had high representativeness. This paper ultimately contributes to the body of knowledge by improving the existing practices of DT-based bridge SHM for facilitating intelligent bridge infrastructure management.]]></description>
      <pubDate>Tue, 28 Apr 2026 12:18:37 GMT</pubDate>
      <guid>https://trid.trb.org/View/2640355</guid>
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    <item>
      <title>Towards Digital Twins: Technology and Challenges in Bridge Information Modeling (BIM)</title>
      <link>https://trid.trb.org/View/2640350</link>
      <description><![CDATA[The concept of the Digital Twin has recently gained prominence in construction projects, offering substantial improvements over traditional methodologies by mirroring real-world structures in a dynamic virtual model. Digital twins rely critically on the accuracy, reliability, and timely availability of data throughout the lifecycle of the infrastructure. Building Information Modeling (BIM) is an essential technology in bridge construction that supports the Digital Twin concept by enabling the creation of detailed 3D intelligent models. These models provide precise graphical and numerical representations of design drawings and enhance design quality, constructability, and collaborative efforts across various construction phases. However, applying these advanced technologies to real-world bridge projects presents numerous challenges. Bridge engineers often struggle to effectively utilize the extensive data generated by their structural models throughout the bridge’s lifecycle. Additionally, contractors and inspectors require access to a 3D model post-design phase, updated continually with information relevant to ongoing construction activities and inspections. This paper discusses the challenges and available technologies for generating, managing, and enriching the Bridge BIM model with intelligent information from design through the construction and inspection phases. It highlights the need to adapt current data exchange standards, such as Industry Foundation Classes (IFC), to suit bridge projects better, ensuring that BIM and Digital Twin technologies can be fully exploited to improve bridge infrastructure’s predictive maintenance and lifecycle management.]]></description>
      <pubDate>Tue, 28 Apr 2026 12:18:37 GMT</pubDate>
      <guid>https://trid.trb.org/View/2640350</guid>
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    <item>
      <title>A BIM-Based Approach for Smart HVAC Design in Cruise Shipbuilding: Automation and Simulation Insights</title>
      <link>https://trid.trb.org/View/2693037</link>
      <description><![CDATA[The increasing complexity of shipboard systems and the growing demand for digital integration in marine design have accelerated the need for innovative, model-based engineering solutions. This paper presents a novel methodology for the detailed design of Heating, Ventilation and Air Conditioning systems in cruise vessels, leveraging Building Information Modelling and parametric modelling within Autodesk® Revit MEP. The approach addresses key limitations of traditional manual workflows by enabling automated duct weight estimation and equipment list generation directly from the model environment. A case study involving two representative shipboard zones—a cabin deck and a galley—was used to compare the proposed methodology with conventional practices. The BIM-based approach demonstrated substantial improvements in efficiency, accuracy, and data reliability. By embedding engineering logic and functional metadata in a 3D parametric model, the methodology supports real-time updates, parallel task execution, and alignment with the project’s Work Breakdown Structure, enhancing information flow between engineering and production. The system is structured to interface with simulation platforms and immersive technologies, facilitating virtual prototyping and laying groundwork for future digital twin integration. The results highlight the method’s potential to drive digital transformation in marine HVAC design.]]></description>
      <pubDate>Mon, 27 Apr 2026 15:01:14 GMT</pubDate>
      <guid>https://trid.trb.org/View/2693037</guid>
    </item>
    <item>
      <title>Computing in Civil Engineering 2024: Building Information Modeling, Digital Twins, and Simulation and Visualization</title>
      <link>https://trid.trb.org/View/2695138</link>
      <description><![CDATA[This collection contains 83 peer-reviewed papers on building information modeling (BIM), digital twins, and simulation and visualization.  Topics include: innovations in structures; modular and industrialized construction; simulated processes; simulation in construction; visualization innovation; BIM in practice; BIM specialty tools; blockchain in construction; computing in construction management; digital twins concepts; digital twins in action; inference in point clouds; model content generation; point cloud instance segmentation; point cloud processing and application; reality capture; and specialty BIM.  This collection offers a current overview of the state of computing within the civil engineering space for computing science and civil engineering researchers globally.]]></description>
      <pubDate>Sun, 26 Apr 2026 17:37:53 GMT</pubDate>
      <guid>https://trid.trb.org/View/2695138</guid>
    </item>
    <item>
      <title>Research on Application of Digital Twin in Railway Construction</title>
      <link>https://trid.trb.org/View/2113846</link>
      <description><![CDATA[Currently, the construction industry is developing in the direction of digitization. From the planning stage to the operation and maintenance stage of construction projects, a series of digital-oriented practices have emerged. Among them, Building Information Modeling (BIM) shows great value in improving efficiency and saving costs. However, in the field of railway construction, BIM cannot fully meet the requirements of infrastructure management in some aspects. One of the requirements is to manage infrastructure data in a common environment. The emerging of Digital Twin (DT) has greatly promoted the digital transformation of the construction industry. The effective management of infrastructure needs to consider the needs of each stage, especially the operation and maintenance stage. The three-dimensional model is no longer just a digital model, but a digital copy of the infrastructure. The railway infrastructure needs to be expressed by a unique model throughout its full life cycle. This article discusses the application mode of digital twins in the construction industry, and proposes corresponding schemes for some typical application scenarios in railway construction projects, which can provide ideas for the application of digital twins in construction industry.]]></description>
      <pubDate>Wed, 15 Apr 2026 08:31:48 GMT</pubDate>
      <guid>https://trid.trb.org/View/2113846</guid>
    </item>
    <item>
      <title>Advancing wharf structural health monitoring with openBIM: Evaluating and extending IFC for enhanced interoperability</title>
      <link>https://trid.trb.org/View/2687444</link>
      <description><![CDATA[The increasing awareness of the economic and social impacts associated with the ageing, deterioration, and extreme events affecting wharves, critical marine infrastructure, has highlighted the necessity of advanced Structural Health Monitoring (SHM) during the Operation and Maintenance (O&M) stage. Effective implementation of SHM systems requires seamless integration of data across the lifecycle of a wharf, multiple stakeholders and diverse disciplines, involving technologies like Building Information Modeling (BIM), Internet of Things (IoT), and Digital Twin (DT). A significant challenge in this process is addressing interoperability and compatibility issues in the processing and integration of information from various disciplines, platforms, or software. To tackle this, Industry Foundation Classes (IFC), an extensible schema grounded in the openBIM concept, is proposed as a data schema solution for Wharf Structural Health Monitoring (WSHM) in this research, based on its widely-recognized application in other engineering domains. To validate IFC's applicability for the WSHM field, we establish a comprehensive WSHM system framework tailored to wharf-specific requirements, and Level of Development (LOD) definitions of structural and monitoring components within this framework. Using these LOD guidelines, we then map the WSHM system to the IFC 4.3 schema, modeling components via EXPRESS-G to assess representation coverage. The findings reveal that the IFC 4.3 schema effectively represents 57% of wharf components and 50% of monitoring system components. However, 19% of wharf components and 50% of monitoring system components are only partially represented, and 24% of wharf components are unrepresented. To address these deficiencies, this study explores extensions to the IFC schema to enhance its capacity for representing incomplete and non-expressible components. This research contributes to advancing openBIM initiatives in WSHM, providing a foundation for enhanced interoperability and data integration in this critical field.]]></description>
      <pubDate>Mon, 13 Apr 2026 09:37:44 GMT</pubDate>
      <guid>https://trid.trb.org/View/2687444</guid>
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    <item>
      <title>BIM-based flowchart for improving road construction planning and management</title>
      <link>https://trid.trb.org/View/2673268</link>
      <description><![CDATA[Road construction planning and management still face limitations due to insufficient BIM interoperability and the difficulty of assigning time and cost data to design-stage solids in linear infrastructure projects. This paper investigates how a BIM-based workflow can improve the integration of construction-oriented information in single-carriageway road projects. A new workflow, supported by custom plugins, is developed in Autodesk Civil 3D using Dynamo, enabling automated virtual segmentation of road solids, the definition of new PropertySets for station, time, and cost, and their export through IFC4 and IFC4.3. The workflow is applied to a real construction project, demonstrating improved interoperability, reduced modeling time, fewer errors in time and cost assignment, and enabling a more granular level of detail at the construction stage. These results are particularly relevant for road designers, BIM managers, contractors, and project managers seeking to automate 5D BIM workflows for road infrastructure. The proposed approach provides a foundation for future research on extending automated time and cost integration to more complex road typologies, additional construction elements, and other BIM platforms.]]></description>
      <pubDate>Wed, 25 Mar 2026 11:44:54 GMT</pubDate>
      <guid>https://trid.trb.org/View/2673268</guid>
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    <item>
      <title>Enhancing the Airport Design Process through the Critical Role of BIM Adoption</title>
      <link>https://trid.trb.org/View/2669196</link>
      <description><![CDATA[The architectural, engineering, and construction (AEC) industries often stick to traditional methods due to their unique nature and reluctance to embrace new techniques. Building information modeling (BIM) is increasingly essential in this sense, as BIM fosters collaboration and streamlines processes. However, a thorough analysis of BIM's success factors is crucial for its successful implementation. This paper approaches the analysis of BIM success factors from a fresh angle, concentrating on two key elements: the enablers and impacts of BIM adoption, specifically during the design phase of airport projects. Given airport projects’ immense scale and complexity, the importance of utilizing BIM cannot be overstated. The methodology involves an extensive literature review to identify common enablers and impacts and a case study approach to assess BIM adaptation strategies at both firm and project levels. The results revealed the ranking of enablers and impacts crucial for BIM adoption in airport projects.]]></description>
      <pubDate>Fri, 20 Mar 2026 17:00:29 GMT</pubDate>
      <guid>https://trid.trb.org/View/2669196</guid>
    </item>
    <item>
      <title>Computing in Civil Engineering (2005)</title>
      <link>https://trid.trb.org/View/2681208</link>
      <description><![CDATA[This collection contains more than 179 papers. Topics include: computer aided education; modeling and simulation in support of infrastructure planning; conceptual bridge design; net-based engineering; multi-paradigm and multi-level simulation; non-destructive evaluation of infrastructure; impact of building information modeling on the construction industry; advances in computing in environmental engineering; facility area networks; advances in computing in geotechnical engineering; stochastic search; advance in computing in transportation engineering; advances in computing in structural engineering; AI and machine learning; disaster preparedness, response, and recovery; multi-agent systems; computer aided design; IT for monitoring and maintenance of infrastructure; computer supported collaborative work; human-computer interaction and visualization; computer aided construction; and decision support systems.]]></description>
      <pubDate>Mon, 16 Mar 2026 19:10:08 GMT</pubDate>
      <guid>https://trid.trb.org/View/2681208</guid>
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