Digital Twins-based integrated corrosion fatigue prognosis of wind turbines Towers in modular energy islands

Lead Research Organisation: University of Birmingham
Department Name: Civil Engineering

Abstract

Facing the goal of climate neural set by the EU Green Deal, the modular energy island is suggested to utilise the attractive wind
power at the deep sea. As a matter of factor, a prominent structural challenge arises, i.e., the corrosion fatigue deterioration of wind
towers under the combination of the harsh marine environment, prominent cyclic loads, and a copious number of welded
connections. Thus, the TwinsTower action aims to develop new and practical contributions towards a better understanding of the
corrosion fatigue of wind towers in modular energy islands, with both the physical model, inspection result and monitoring data
integrated. The experienced research (ER) will: (i) establish an integrated corrosion fatigue prediction model for wind towers in the
modular energy island; (ii) construct a digital twins-based prognosis approach for wind towers in modular energy islands, with the
monitoring and inspection result integrated.
Implemented at the University of Birmingham, as supervised by the Chair Prof Charalampos Baniotopoulos, this action will enable the
ER to diversify his competence by developing his skills in wind energy research, data science, knowledge dissemination and
exploitation, networking, supervision, teaching, research management and leadership. This action will also strongly benefit the ER's
inter-sectoral and interdisciplinary expertise and strengthen the international network considering a secondment at the Ruhr-
Universität Bochum.
A two-way transfer of knowledge is guaranteed since the action integrates the ER's experience in corrosion fatigue prediction,
probabilistic modelling of deterioration, and engineering practises as well as the hosts' expertise in tower design and detailing, deep
learning, and SHM data exploitation. To sum, the TwinsTower action could contribute to the EU's knowledge-based society,
policymakers and professionals by offering invaluable knowledge and a practical approach supporting the goal of climate neural.
 
Description Our project has made significant strides in structural engineering and environmental resilience, focusing on wind-wave interactions, structural health monitoring (SHM) innovations, and sustainable construction methodologies. We've uncovered new insights into wind-wave dynamics affecting coastal structures, enhanced predictive models for infrastructure safety, and advanced SHM with digital twins and smart sensors, leading to proactive maintenance and extended infrastructure lifespans. The development of the D2Tower exemplifies our commitment to sustainable design. Furthermore, our cross-disciplinary collaborations have expanded the impact of our research, establishing new benchmarks for resilient, sustainable infrastructure and fostering a comprehensive approach to tackling climate change.
Exploitation Route The outcomes of the project have broad applicability across both academic and non-academic sectors, promising to influence future research, policy-making, and industry practices. Academically, our advanced models of wind-wave coupling prognosis and structural health monitoring (SHM) technologies offer a foundation for further research in civil engineering. These findings can be integrated into university curriculums and leveraged for interdisciplinary studies. Non-academically, the construction, energy, and environmental sectors stand to benefit significantly. Industry professionals can adopt our sustainable urban construction methodologies and SHM innovations to develop safer, more resilient infrastructure and energy-efficient buildings. Governmental bodies and policy-makers can utilize our research to update standards and regulations, promoting sustainability and resilience in future urban development. Furthermore, our work encourages new collaborative ventures between academia and industry, fostering innovation and ensuring that the knowledge generated through this funding continues to have a tangible impact on society.
Sectors Construction

Education

Environment
 
Description Training School for students 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Postgraduate students
Results and Impact The Training School activity shall address the Resilience Assessment of Modular Floating Energy Islands, with the project output TwinsTower as a vital part, through the development of a methodology for floating structures in a particular context and site. The approach is based on the development of a framework through a methodology based on Resilience Indicators.
Year(s) Of Engagement Activity 2023
 
Description Website for the Project TwinsTower 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Media (as a channel to the public)
Results and Impact The creation of a website for the TwinsTower project was designed to showcase the objectives, progress, and achievements of the initiative. Its primary purpose was to engage a wider audience, disseminate information, and foster collaboration. The website has successfully increased public awareness and interest in the project's goals. Notably, it has facilitated partnerships and attracted potential investors by highlighting the project's innovation and impact. Feedback from visitors indicates a positive reception, with increased engagement and inquiries about how to get involved or support the TwinsTower project.
Year(s) Of Engagement Activity 2023
URL http://cczdlwyzm.web.97jindianzi.com/vip_cczdlwyzm.html