Digital twins in infrastructure: definitions, current practices, challenges and strategies

Broo, Didem Gürdür; Schooling, Jennifer

doi:10.1080/15623599.2021.1966980

Cited by 52 publications

(39 citation statements)

References 56 publications

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“…Several researchers investigated the implementation of Digital Twins in the infrastructure sector. The authors of [23] examined the current practices of implementing Digital Twins through a series of semi-structured interviews with experts and executives from the UK infrastructure industry. Their study found that the current implementations are still not mature and most of them are under development.…”

Section: Existing Research On Digital Twins In the Infrastructure Ind...mentioning

confidence: 99%

Perspective Chapter: Roadmap to a Holistic Highway Digital Twin – A Why, How, and Why Framework

Ammar¹,

Nassereddine²,

Dadi³

2024

Critical Infrastructure - Modern Approach and New Developments

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The advent and spread of the COVID-19 pandemic shifted the world’s focus toward investing in social structure projects that would improve urbanization and enhance equity. This shift compiled with the emergence of innovative technologies namely Digital Twins, allowed for investigating new approaches for designing and delivering infrastructures, thus paving the road toward smarter infrastructures. Smart infrastructures achieved by connecting the physical aspect of the infrastructure with its digital aspect will allow for optimizing the performance of infrastructure systems by digitally enhancing the asset value and leveraging the value of asset data. Digital Twins can be applied to several civil infrastructure projects including the transportation sector. Also, Digital Twins can be implemented for different spatial scales, on a national level, on the level of the city, and for a network of assets. Few case studies described how to transfer a Digital Twin vision to practice; thus, this chapter presents the journey for a holistic Digital Twin for a highway system formed of a network of assets by discussing the Why, How, and What framework. A holistic highway Digital Twin will allow for cross-asset data analysis, conducting predictive and preventive maintenance, and efficient resource allocation based on data-driven decision-making.

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Section: Existing Research On Digital Twins In the Infrastructure Ind...mentioning

confidence: 99%

Perspective Chapter: Roadmap to a Holistic Highway Digital Twin – A Why, How, and Why Framework

Ammar¹,

Nassereddine²,

Dadi³

2024

Critical Infrastructure - Modern Approach and New Developments

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“…As an upto-date digital replica of the physical world [5], DT applications started growing with technological advancements of the Internet of Things (IoTs) in a wide range of industries [6], such as space [7] and manufacturing [8]- [10]. Likewise, civil infrastructures and the Architecture, Engineering, and Construction (AEC) industry have experienced the first generations of DTs in recent years [11], [12].…”

Section: Introductionmentioning

confidence: 99%

“…The backbone of any society is its civil infrastructures [13], while the current status of aging infrastructures has reduced their services and created financial and societal burdens for communities [14]. For this reason, efforts should be concentrated on developing new ways of designing, building, operating, and maintaining civil infrastructure to better accommodate society's true needs [11]. Such an opportunity can be realized by utilizing DTs in civil infrastructures [15].…”

Section: Introductionmentioning

confidence: 99%

“…1. As seen in this figure, the number of studies has nearly tripled in the past three years whereas DTs in infrastructures are still in their infancy [11]. The concept of DTs has been interpreted differently depending on the application or research area in which it is being applied [18].…”

Section: Introductionmentioning

confidence: 99%

“…Some previous reviews have explored DTs within the context of civil infrastructure [11], [12], [21], which are primarily qualitative and based on manual interviews. Despite the undeniable potential of these reviews, they are typically incapable of producing an accurate, comprehensive, generalizable, and replicable picture of the body of knowledge [22] due to their potential for subjectivity and the limited number of studies they can review [23].…”

Section: Introductionmentioning

confidence: 99%

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Civil Infrastructure Digital Twins: Multi-Level Knowledge Map, Research Gaps, and Future Directions

Naderi

Shojaei

2022

IEEE Access

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Digital Twins (DTs) have received considerable attention as an emerging technology in recent years, which can offer advantages for improving the performance of infrastructures. However, the inherent complexity of infrastructures alongside the nascent nature of digital twins in the Architecture, Engineering, and Construction (AEC) industry hinders the adoption of infrastructure digital twins (IDTs). The lack of common understanding among different stakeholders has been noted as one of the most significant roadblocks to implementing IDTs in practice. This study is a quantitative attempt to address this gap by providing different stakeholders with a multi-layer knowledge map by analyzing 139 identified IDTs in three levels of bibliometric and social network analyses. First, knowledge themes are extracted from the most-frequent journals to provide an overview of IDT knowledge. Second, a combination of co-citation analysis and social network theories illustrated six clusters of IDT knowledge and their relationships. Third, the co-occurrence network of keywords revealed where, why, and what enabling technologies have been employed so far. These findings were synthesized into a three-layer knowledge map to not only illustrate the maturity level and evolution potentials of each layer but also serve as a hierarchical strategic plan recommending future direction to decision-makers, researchers, and practitioners.INDEX TERMS Bibliometric analysis, civil infrastructures, digital twins, knowledge map, systematic review.

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Artificial intelligence ‐ driven sustainable development: Examining organizational, technical, and processing approaches to achieving global goals

Kulkov,

Kulkova,

Rohrbeck

et al. 2023

Sustainable Development

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This study presents a comprehensive literature review using a systematic approach to explore the role of artificial intelligence (AI) in promoting sustainable development in line with the United Nations Sustainable Development Goals (SDGs). The systematic review approach was applied to collect and analyze topics, and the literature search was conducted in two stages, encompassing 57 articles that met the research requirements. Our analysis reveals that AI's contribution to sustainability is concentrated within three key areas: organizational, technical, and processing aspects. The organizational aspect focuses on the integration of AI in companies and industries, addressing barriers to implementation and the relationship between companies, partners, and customers. The technical aspect highlights the development of AI algorithms that can address global challenges and contribute to the growth of stability and development in society. The processing aspect emphasizes the internal transformation of companies, their business models, and strategies in response to AI integration. Our proposed conceptual model outlines the essential elements organizations must consider when incorporating AI into their sustainability efforts, such as strategic alignment, infrastructure development, change management, and continuous improvement. By addressing these critical aspects, organizations can harness the potential of AI to drive positive social, environmental, and economic outcomes, ultimately contributing to the achievement of the SDGs. The model serves as a comprehensive framework for organizations seeking to leverage AI for sustainable development, but it should be adapted to individual contexts to ensure its relevance and effectiveness.

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Digital twins in infrastructure: definitions, current practices, challenges and strategies

Cited by 52 publications

References 56 publications

Perspective Chapter: Roadmap to a Holistic Highway Digital Twin – A Why, How, and Why Framework

Perspective Chapter: Roadmap to a Holistic Highway Digital Twin – A Why, How, and Why Framework

Civil Infrastructure Digital Twins: Multi-Level Knowledge Map, Research Gaps, and Future Directions

Artificial intelligence ‐ driven sustainable development: Examining organizational, technical, and processing approaches to achieving global goals

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