Towards Civil Engineering 4.0: Concept, workflow and application of Digital Twins for existing infrastructure

Pregnolato, Maria; Gunner, Sam; Voyagaki, Elia; Risi, Raffaele De; Carhart, Neil J; Gavriel, G.; Tully, Patrick; Tryfonas, Theo; Macdonald, John H G; Taylor, Curtis R.

doi:10.1016/j.autcon.2022.104421

Cited by 104 publications

(71 citation statements)

References 25 publications

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“…Benefits of Digital Twin to the construction industry (Madubuike et al, 2022), (Akanmu et al, 2021), (Boje et al, 2020), (Khajavi et al, 2019) Emerging technology and trends to support evolution from BIM to Digital Twin (Menassa, 2021), (Chiachío et al, 2022), (Jiang et al, 2022), (Li et al, 2021), (Pan and Zhang, 2021), (Seghezzi et al, 2021), (Tariq et al, 2022), (Zhang et al, 2022), (Almatared et al, 2022), (Deria et al, 2022) Digital Twin knowledge transfer (Elsehrawy et al, 2021) Cybersecurity for Digital Twin (Alshammari et al, 2021) Cyber-Physical System (Alshammari et al, 2021), (Akanmu et al, 2021), (Jiang et al, 2022), (Pregnolato et al, 2022), (Pan and Zhang, 2021), (Yuan and Anumba, 2020) Smart Infrastructure Digital Twin (Broo et al, 2022), (Pregnolato et al, 2022) Simulation (Chiachío et al, 2022), (Yuan and Anumba, 2020), (Zhang et al, 2022) Real-time information exchange (Jiang et al, 2022) Workflow for the development of Digital Twin (Pregnolato et al, 2022), (Pan and Zhang, 2021), (Broo et al, 2022), (Sobhkhiz and El-Diraby, n.d.) The adoption of Digital Twins in the A/E/C/FM industry remains low as compared to other industries. The slow rate of adoption can be attributed to three factors (Madubuike et al, 2022):…”

Section: Research Domain Literaturementioning

confidence: 99%

A tool-based system architecture for a digital twin: a case study in a healthcare facility

Harode¹,

Thabet²,

Dongre³

2023

ITcon

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Changes in the local and global markets are forcing A/E/C/FM (Architecture, Engineering, Construction, and Facility Management) organizations to deliver more robust and innovative operational BIMs (Building Information Models). It is hypothesized that BIMs will transform from a static 3D model to a Digital Twin providing a truly digital representation of the physical asset or the building it represents. This transformation to a dynamic Digital Twin will allow the A/E/C/FM industry to visualize, monitor, and optimize operational assets and processes to support better inspection and analysis for a more efficient facility operations and maintenance. To support the adoption and implementation of Digital Twin in A/E/C/FM, the authors have defined two clear objectives. First, we discuss requirements for a functionality-based canonical architecture to create a digital twin followed by proposing two tool-based system architecture options for its implementation. Second, we use a case study approach to develop a proof-of-concept Digital Twin of an operating room in a healthcare facility using Power BI Desktop and Azure Services. The prototype aims to monitor room air quality as per INAIL (National Institute for Insurance against Accidents at Work) and ISO (International Organization for Standards) standards. Multiple sensors connected to a Raspberry Pi 4 are used to capture real-time data for various air quality parameters including temperature, humidity, airflow, particulate contamination, and Nitrous Oxide (N2O) gas. Multiple dashboards are also created to visualize, monitor, and analyze the data harnessed from the OR sensors. The implementation addresses critical issues including security, data storage, visualization, processing, data streaming, collection, and analysis. As an initial validation, the Digital Twin prototype was presented and discussed with a healthcare BIM manager. Initial feedback from the industry expert indicated that the prototype could decrease the required time to respond to facility maintenance issues such as decreased air flow due to possible obstructions.

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Section: Research Domain Literaturementioning

confidence: 99%

A tool-based system architecture for a digital twin: a case study in a healthcare facility

Harode¹,

Thabet²,

Dongre³

2023

ITcon

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“…DT technology has made significant advances in other industries such as aerospace, manufacturing, and automotive. Recently, DTs have become a part of change drivers within the construction sector as well [1][2][3][4][5].…”

Section: Digital Twins In the Aec Sectormentioning

confidence: 99%

I‐Twin. Computational twin connectors for I‐profiles. Towards unforeseen interoperability of digital tools

Posada,

Chacón,

Ramonell

2023

ce papers

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Standard BIM data‐exchange format requirements are permeating Building Construction. This is due to the increasing digital communication between Stakeholders of complex projects. All steps of development (conception, design, procurement, construction and operation) are pushing towards integration of data schemas. Desirably, knowledge and value generated by one stakeholder may then be leveraged by other stakeholders. 3D models, simulations, measurements, logbooks, schedules, as‐built conditions and other information constructs are on the verge of interoperable communication. Structural Analysis must play a significant role within those more digitized data exchanges. This paper presents recent developments of frameworks, connectors and tools for the integration of structural I‐shaped beam entities into Digital Twins. The information construct I‐Twin encompasses information loads for geometries (IFC‐Based), sensors (IoT) and simulations (FEM).

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“…For example, a digital twin of a real machine can be built on a cloud platform and use the collected data and existing knowledge to simulate health conditions (Lee et al, 2013). Despite these advancements, research on digital twin was still relatively limited, and application development was hindered (Lu and Brilakis, 2019) 101 Automation in construction E (Broo et al, 2022) 18 Automation in construction F, E (Pregnolato et al, 2022) 9 Automation in construction F (Song et al, 2023) 3 Automation in construction F (Yang et al, 2022) 2 Automation in construction E (Pantoja-Rosero et al, 2023) 1 Automation in construction E (Gao et al, 2023) -Automation in construction F, O&M (Bittencourt et al, 2021) 1 Proceedings of the 10th international conference on bridge maintenance, safety and management, IABMAS 2020 F, O&M (Lai et al, 2022) 4 Case studies in construction materials O&M (Lu et al, 2020) 1 Construction research congress 2020 E (Febrianto et al, 2022) 3 Data-centric engineering E (Sánchez-Rodríguez et al, 2020) 6 EG-ICE 2020 workshop on intelligent computing in engineering, proceedings E (Jiang et al, 2021b) 28 Engineering structures O&M (Guo and Fang, 2023) -Engineering with computers E (Broo and Schooling, 2021) 11 IEEE access F (Dang et al, 2022) 22 IEEE transactions on industrial informatics F, O&M (Dan et al, 2021) 12 IEEE transactions on intelligent transportation systems F, O&M (Shim et al, 2019b) 15 International conference on smart infrastructure and construction 2019 O&M (Van Nimmen et al, 2021) 7 Journal of bridge engineering O&M (Omer et al, 2021) 7 Journal of bridge engineering E, O&M (Zhao et al, 2022) 7 Journal of bridge engineering O&M (Ye et al, 2020b) 26 Journal of civil structural health monitoring O&M (Baisthakur and Chakraborty, 2021) 7…”

Section: Definition and Development Of Digital Twinmentioning

confidence: 99%

“…The use of digital twins in civil engineering is still at the early stage compared to manufacturing and aerospace industries (Pregnolato et al, 2022). The building industry has shown greater progress in integrating BIM, internet of things (IoT), and sensor data to develop dynamic digital twin demonstrators for buildings (Vivi et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Research progress and prospect of digital twin in bridge engineering

Yang,

Zhu,

Cai

2023

Advances in Structural Engineering

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The concept of digital twins in bridge engineering is still vague and even confused with the Bridge Information Model (BrIM). Therefore, this study provides a detailed review of 42 papers related to digital twins in bridge engineering, focusing on a proper definition, key features and creation techniques for bridge digital twin (BDT). The paper also compares BDT and BrIM from the perspectives of their elements, features, fidelity, services provided, and degree of development. The applications of BDT at different life cycle stages are identified, and the related technologies are analyzed in detail. The results show that the research clusters of BDT are divided into geometric model generation, finite element model updating, and management and are focused on the operation and maintenance phase while lacking attention in the design and construction phase. Besides, a reference framework of BDT based on the life cycle of bridges is proposed, and directions for future research are suggested.

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Towards Civil Engineering 4.0: Concept, workflow and application of Digital Twins for existing infrastructure

Cited by 104 publications

References 25 publications

A tool-based system architecture for a digital twin: a case study in a healthcare facility

A tool-based system architecture for a digital twin: a case study in a healthcare facility

I‐Twin. Computational twin connectors for I‐profiles. Towards unforeseen interoperability of digital tools

Research progress and prospect of digital twin in bridge engineering

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