Bai-Qiao Chen

Dr. Bai-Qiao Chen

Department of Mechanical Engineering, Universidade de Lisboa - Instituto Superior Tecnico, Lisbon, Lisboa, Portugal
orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 March 2014 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
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Bai-Qiao ChenBai-Qiao Chen
Bai-Qiao Chen
MHMarzieh Hashemzadeh
Marzieh Hashemzadeh
Carlos Guedes SoaresCarlos Guedes Soares
Carlos Guedes Soares

1 May 2018 in Marine Structures
Verified
Journal Article
Open access
JRJonas W. Ringsberg
Jonas W. Ringsberg
JAJörgen Amdahl
Jörgen Amdahl
Bai-Qiao ChenBai-Qiao Chen
Bai-Qiao Chen
SCSang-Rai Cho
Sang-Rai Cho
Sören EhlersSören Ehlers
Sören Ehlers
SZShengming Zhang
Shengming Zhang

Verified
Journal Article
Open access
PDF file
Bai-Qiao ChenBai-Qiao Chen
Bai-Qiao Chen
Paulo Maurício VideiroPaulo Maurício Videiro
Paulo Maurício Videiro
Carlos Guedes SoaresCarlos Guedes Soares
Carlos Guedes Soares
A vision of the digital twins of the subsea pipelines is provided in this paper, with a coverage of the current applications and the challenges of the digital twins in the design, construction, service life, and assessments of life extension. Digital twins are described as a paradigm combining multi-physics modelling with data-driven analytics, which are used to mirror the life of its corresponding twin. Realistic virtual models of structural systems are shown to bridge the gap between design and construction and to mirror the real and virtual worlds. Challenges in properly using the new tools and how to create accurate digital twins considering data acquired during the construction phase are discussed. The key opportunities for improved integrity management using the digital twin are data contextualization, standardization, automated anomaly detection, and learning through sharing. The collection, interpretation and sharing of data, and cyber-security are identified as some of the main challenges.

20 April 2024 in Energies
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Journal Article
Open access
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Bai-Qiao ChenBai-Qiao Chen
Bai-Qiao Chen
Kun LiuKun Liu
Kun Liu
TYTongqiang Yu
Tongqiang Yu
RLRuoxuan Li
Ruoxuan Li
This comprehensive review explores the application and impact of digital twin (DT) technology in bolstering the reliability of Floating Offshore Wind Turbines (FOWTs) and their supporting platforms. Within the burgeoning domain of offshore wind energy, this study contextualises the need for heightened reliability measures in FOWTs and elucidates how DT technology serves as a transformative tool to address these concerns. Analysing the existing scholarly literature, the review encompasses insights into the historical reliability landscape, DT deployment methodologies, and their influence on FOWT structures. Findings underscore the pivotal role of DT technology in enhancing FOWT reliability through real-time monitoring and predictive maintenance strategies, resulting in improved operational efficiency and reduced downtime. Highlighting the significance of DT technology as a potent mechanism for fortifying FOWT reliability, the review emphasises its potential to foster a robust operational framework while acknowledging the necessity for continued research to address technical intricacies and regulatory considerations in its integration within offshore wind energy systems. Challenges and opportunities related to the integration of DT technology in FOWTs are thoroughly analysed, providing valuable insights into the role of DTs in optimising FOWT reliability and performance, thereby offering a foundation for future research and industry implementation.

10 February 2016 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
Bai-Qiao ChenBai-Qiao Chen
Bai-Qiao Chen
Carlos Guedes SoaresCarlos Guedes Soares
Carlos Guedes Soares

3 February 2022 in Ocean Engineering
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Journal Article
Open access
Bai-Qiao ChenBai-Qiao Chen
Bai-Qiao Chen
XZXinhu Zhang
Xinhu Zhang
CSC. Guedes Soares
C. Guedes Soares