A Digital Twin of Bridges for Structural Health Monitoring

Cong, Ye; Butler, Lynda L.; Calka, Bartek; Iangurazov, Marat; Lu, Qiuchen; Gregory, Alastair; Girolami, Mark; Middleton, Campbell

doi:10.12783/shm2019/32287

Cited by 74 publications

(48 citation statements)

References 7 publications

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“…Instead, what gives people trust in a system is that they know they are not being misled and, as interviewee D rightly points out, this comes down to the importance of quantifying and visualising uncertainties when outputs are given. This is such an important aspect of implementing DTs, it is quite worrying not to see it mentioned more often in the literature, as there seems to be only one use case identified by this paper which covers this idea [44].…”

Section: Barriers To Implementation Of Digital Twinsmentioning

confidence: 97%

“…A case study considers two newly built railway bridges in Staffordshire, UK. The authors set out the physical data capture requirements for the successful implementation of a DT, presenting a use case with the aim of better structural health monitoring (SHM) [44]. At the time of their construction, the two bridges were fitted with a fibre optic sensor (FOS) network.…”

Section: Digital Twins In Transport Systemsmentioning

confidence: 99%

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Digital Twins in Civil Infrastructure Systems

et al. 2021

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This research explores the existing definitions, concepts and applications surrounding the efficient implementation and use of digital twins (DTs) within civil infrastructure systems (CISs). The CISs within the scope of this research are as follows: transportation, energy, telecommunications, water and waste, as well as Smart Cities, which encompasses all of the previous. The research methodology consists of a review of current literature, a series of semi-structured interviews and a detailed survey. The outcome of this work is a refined definition of DTs within CISs, in addition to a set of recommendations for both future academic research and industry best practice.

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Section: Barriers To Implementation Of Digital Twinsmentioning

confidence: 97%

Section: Digital Twins In Transport Systemsmentioning

confidence: 99%

Digital Twins in Civil Infrastructure Systems

et al. 2021

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“…An example of a discrete tracking of a physical system's state, may involve checking the operational condition of traffic lights, determining whether it is functioning or not. While a more dynamic case may include the qualification of a bridge safety by the continuous monitoring of its structural health throughout its lifespan (Butler et al 2019) or detecting whether a trash bin is full or not (Rao et al, 2020;Aktemur et al, 2020;Jadli & Hain, 2020). Qualification during disasters may include user-tagging to mark whether a citizen is safe or unsafe (White el al., 2021).…”

Section: Qualifymentioning

confidence: 99%

A digital twin uses classification system for urban planning & city infrastructure management

Al-Sehrawy¹,

Kumar²,

Watson³

2021

ITcon

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Recently, the concept of Digital Twin [DT] has pervaded the field of urban planning and city infrastructure management. This paper first affirms that the knowledge created by virtue of DT real-world implementation, through undertaking various DT pilot projects, case studies and proof-of-concept initiatives, comprises the ‘know-how’ and genuine practical experience upon which the DT research and practices can further develop and mature. It then argues that this type of knowledge is poorly captured and mostly left neither realized nor fully utilized. This significantly hinders the rate by which DT practices within the urban and built environments evolve. While acknowledging the benefits of the ongoing work by many DT researchers, including enumeration, categorization and detailing of multiple DT use cases, such endeavours arguably suffer from three profound weaknesses causing the inefficient sharing and transfer of DT ‘know-how’ knowledge amongst DT stakeholders. The three limitations are: (a) lack of DT standard terminology constituting a common DT language; (b) lack of standard and clear methods to enable documenting DT projects and making the ‘know-how’ explicit to the rest of the DT market; and (c) the lack of an established and adequate DT use cases classifications system to guide DT practitioners in searching for and retrieving the previously accomplished DT case studies that are most relevant to their interests and context. Correspondingly, three solutions are proposed constituting a three-pronged DT Uses Classification System [DTUCS]: prong-A (i.e. Standardize-to-Publish); prong-B (i.e. Detail-to-Prove); and prong-C (i.e. Classify-to-Reach). DTUCS is developed using a meta-methodology encapsulating a systematic literature review and three distinct sub-methodologies. The paper concludes with an overview of the implications of DTUCS along with recommendations on how it can be further validated and improved.

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“…Khajavi et al [21] studied the expansion of the digital twin in including building life cycle management and explored the benefits and shortcomings of such implementation. Scholar Ye et al [22] took two railway bridges in Staffordshire, UK, as examples and created a bridge digital twin model for structural health monitoring. Tygesen et al [23] proposed a novel method for evaluating and improving the performance of digital twin bearings, which is used to predict the fatigue life of offshore structures.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Prediction Method for Operation and Maintenance Safety of Prestressed Steel Structure Based on Digital Twin Technology

Liu

Jiang

Zhang

et al. 2021

Advances in Civil Engineering

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The operation and maintenance stage of the long-span prestressed steel structure is the core link of the whole life cycle. At present, there are few studies on the change law of safety risk in the whole process of operation and maintenance, especially the research on the analysis and prediction of the change law of safety risk in the whole process of structural operation and maintenance by effectively using the abundant monitoring data and relevant safety risk information in the operation and maintenance stage, which also affects the prestressed steel, which also affects the efficiency of judgment and control decision-making of operation and maintenance safety state of prestressed steel structure. Taking the spoke-type cable truss as an example, this paper proposes a new concept of integrating the digital twin model (DTM) with steel structure operation and maintenance safety. Through the combination of real physical space dimensions and digital virtual space dimensions, it is based on a hypothetical analysis model. In the above, a theoretical framework is proposed, and a case analysis of a prestressed steel structure is carried out from big data, and the feasibility of applying this method in the prestress loss and uneven rain and snow load conditions is evaluated. This method can provide guidance for operation and maintenance management and formulate strategies in time.

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A Digital Twin of Bridges for Structural Health Monitoring

Cited by 74 publications

References 7 publications

Digital Twins in Civil Infrastructure Systems

Digital Twins in Civil Infrastructure Systems

A digital twin uses classification system for urban planning & city infrastructure management

Intelligent Prediction Method for Operation and Maintenance Safety of Prestressed Steel Structure Based on Digital Twin Technology

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