The International Journal of Advanced Manufacturing Technology, Год журнала: 2023, Номер 128(1-2), С. 743 - 761
Опубликована: Июль 19, 2023
Язык: Английский
Sustainability, Год журнала: 2023, Номер 15(14), С. 10908 - 10908
Опубликована: Июль 12, 2023
This paper presents a comprehensive understanding of current digital twin (DT) implementations in the construction industry, along with providing an overview technologies enabling operation DTs industry. To this end, 145 publications were identified using systematic literature review. The results revealed eight key areas DT implementation including (i) virtual design, (ii) project planning and management, (iii) asset management maintenance, (iv) safety (v) energy efficiency sustainability, (vi) quality control (vii) supply chain logistics, (viii) structural health monitoring. findings demonstrate that technology has capacity to revolutionise industry across these areas, optimised designs, improved collaboration, real-time monitoring, predictive enhanced practices, performance optimisation, inspections, efficient proactive maintenance. study also several challenges hinder widespread construction, data integration interoperability, accuracy completeness, scalability complexity, privacy security, standards governance. address challenges, recommends prioritising standardised formats, protocols, APIs for seamless exploring semantic modelling ontologies integration, implementing validation processes robust governance harnessing high-performance computing advanced techniques establishing protection access controls developing widely accepted frameworks industry-wide collaboration. By addressing can unlock full potential technology, thus enhancing safety, reliability, projects.
Язык: Английский
Процитировано
80
Reliability Engineering & System Safety, Год журнала: 2024, Номер 246, С. 110040 - 110040
Опубликована: Фев. 25, 2024
Digital twins (DTs) represent an emerging technology that is currently leveraging the monitoring of complex systems, implementation autonomous control and assistance during accidents emergencies in real time. However, aspects such as safety, cybersecurity reliability DTs are still open issues have not been comprehensively addressed. These can offer new insights to evaluate risk return obtained from DTs. This paper presents a systematic literature review focused on their use safety analysis, assessment emergency management. The aim this work twofold: (i) point at latest advancements by presenting catalog expected functions twinning enabling technologies application domains interest; (ii) limitations pending challenges for
Язык: Английский
Процитировано
35
Journal of Building Engineering, Год журнала: 2024, Номер 84, С. 108522 - 108522
Опубликована: Янв. 19, 2024
This paper summarizes the findings obtained during development of information pipelines between a construction site and its corresponding digital twin. The case study is an office building in which independent can track different aspects process aggregate result assist managers decision making form vaster entity: twin prototype designed as recipient that mirror physical systems. contributes with real these enable continuous monitoring analysis various basic parameters construction. With varied array sensors installed, data was collected, organized transmitted through knowledge graph-based system to dashboard. A dashboard able allocate many sources (from sensors, images or point clouds) but also, it helps visualizing could help informed decisions about emphasizes nature sites well importance proper channeling multi-purpose, effective decision-making using Overall, provides life insight challenges massive implementation twins within existing for building. It also highlights potential improve productivity, resource efficiency, health safety environments. For this purpose, faced bottlenecks require refinements, more further research.
Язык: Английский
Процитировано
21
Applied Sciences, Год журнала: 2025, Номер 15(4), С. 1911 - 1911
Опубликована: Фев. 12, 2025
Transportation infrastructure is central to economic development and the daily lives of citizens. However, rapid urbanization, increasing vehicle ownership, growing concerns about sustainable have significantly heightened complexity managing these systems. Although digital twin (DT) technology holds great promise, most current research focuses on specific areas, lacking a comprehensive framework that spans entire lifecycle transportation infrastructure, from planning construction operation maintenance. The technical challenges integrating different DT systems remain unclear, which some extent limits potential in management infrastructure. To address this gap, review first summarizes fundamental concepts architectures involved for such as roads, bridges, tunnels, hubs. From perspective, are categorized based functional scope, data integration methods, application stages, their key technologies basic frameworks outlined. Subsequently, applications various stages infrastructure—planning construction, maintenance, decommissioning renewal—are analyzed, progress reviewed discussed. Finally, future directions achieving full system encompassing technical, operational, ethical aspects, discussed summarized. insights gained herein will be valuable researchers, urban planners, engineers, policymakers.
Язык: Английский
Процитировано
5
Information Fusion, Год журнала: 2023, Номер 97, С. 101803 - 101803
Опубликована: Апрель 3, 2023
Язык: Английский
Процитировано
40
Tunnelling and Underground Space Technology, Год журнала: 2023, Номер 140, С. 105318 - 105318
Опубликована: Июль 24, 2023
Язык: Английский
Процитировано
27
Automation in Construction, Год журнала: 2024, Номер 165, С. 105578 - 105578
Опубликована: Июнь 24, 2024
Язык: Английский
Процитировано
11
Buildings, Год журнала: 2025, Номер 15(3), С. 366 - 366
Опубликована: Янв. 24, 2025
Underground space development has significantly increased the depth, scale, and complexity of foundation pit engineering. However, monitoring systems lack mechanical analysis models fail to predict control construction risks. Additionally, model could not be updated based on on-site observed data, leading inaccurate predictions. This study proposes a DT modeling framework for pits, which is used simulate, predict, risks associated with entire excavation process. Consequently, framework, (DTFPM) was established using updating algorithms. summarizes identifies key parameters pits. A parametric algorithm ABAQUS (v2020) developed drive process within seconds. Furthermore, an inverse optimization genetic algorithms (GA) real-time deformation employed update elastic modulus soil. The supports parallel computing can converge 10 generations. prediction error after reduced 10%. Finally, authors applied DTFPM establish intelligent system. focus predictive warnings current step model. analyzes Beijing project case verify effectiveness system, demonstrating practical application proposed method. results showed that accurately simulate behavior pit. system provide more timely accurate safety warnings. method potentially contribute pits in future, both theoretically practically.
Язык: Английский
Процитировано
2
Bulletin of Engineering Geology and the Environment, Год журнала: 2025, Номер 84(1)
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
1
Tunnelling and Underground Space Technology, Год журнала: 2025, Номер 161, С. 106508 - 106508
Опубликована: Март 6, 2025
Язык: Английский
Процитировано
1