Aims and Impacts

Aims and Objects

Two centrifuge model tests are planned at the secondment host at HKUST to compensate for the lack of experimental data to identify the underlying mechanism of landslide-monopile interaction.
A database of OEI (especially MSOWT) deformation during the SSL is developed from numerical analyses by considering the structure, earthquake, geotechnical, and geological parameters of the slope.
An in-depth theoretical background regarding the coupled DEM-FEM modeling will be acquired during the secondment at RMIT.
Machine learning techniques and statistical analysis are applied to the database to propose a data-driven model for the prediction of OEI deformation triggered by the SSL.
Probabilistic analyses are performed on the produced database and the proposed predictive model to present the fragility surfaces of OEI
An application example is carried out for a specific region to show how to use the outcomes of the project.

Multivariate Fragility Functions: Introducing a new technique for multivariate fragility functions can significantly enhance our modeling capabilities. It can capture complex relationships among various factors influencing system vulnerabilities.
Resilience Algorithms: Developing algorithms that consider uncertainties in parameters can lead to more robust and adaptable resilience models. These models can better simulate the behavior of systems under stress or hazardous conditions.

Natural Hazard Assessment: The proposed technique can improve the accuracy of predicting vulnerabilities to natural hazards. It could lead to better risk assessments and preparedness measures for events like earthquakes, hurricanes, or tsunamis
Environmental Impact Assessments (EIA): The technique's application to EIAs can provide more comprehensive insights into how infrastructure or human activities impact the environment. This could aid in developing more sustainable practices and minimizing environmental damage

Cross-Disciplinary Applications:

Interdisciplinary Collaboration: Bridging the gap between offshore infrastructure assessment and broader geo-systems opens avenues for collaboration among diverse scientific disciplines.
Policy Implications: The findings from this technique could inform policies related to disaster management, infrastructure development, and environmental conservation.

Knowledge Expansion:

New Understanding of System Dynamics: The project may uncover previously unknown correlations or dependencies within systems, leading to new insights into how various factors interact and influence vulnerabilities.
Data-Driven Decision Making: The technique could enable more data-driven decision-making processes in assessing risks and impacts on both human-made structures and natural environments.

Energy System Resilience:

Accurate Vulnerability Predictions: Providing energy management organizations with accurate vulnerability predictions for offshore energy systems can help them prepare better for potential disruptions caused by natural hazards or other factors.
Early Warning Systems: Implementing early warning systems based on this project's results can allow for proactive measures, potentially minimizing the impact of energy outages on communities and industries.

Diversification of Energy Sources:

Strategic Energy Planning: Insights derived from this project could prompt energy management organizations to diversify their energy sources. They might prioritize or invest in alternative energy generation systems that are less vulnerable to identified risks in offshore energy systems.
Reducing Dependence on Vulnerable Sources: The ability to switch to alternative energy sources when vulnerabilities are predicted can prevent sudden energy outages and minimize disruptions to society and industries that rely on continuous power supply.

Economic Stability and Resilience:

Mitigating Economic Losses: Avoiding sudden energy outages through early warning systems and diversification of energy sources can prevent significant economic losses caused by interruptions in energy supply to industries, businesses, and households.
Stimulating Innovation: The necessity to shift to alternative energy sources could spur innovation and investment in renewable and more resilient energy technologies, potentially driving economic growth in related sectors.

Environmental Impact:

Promotion of Sustainable Energy: Shifting to alternative energy sources due to vulnerabilities in offshore energy systems could contribute to reducing the environmental impact of energy generation. This aligns with global efforts to transition towards more sustainable and eco-friendly energy sources.

Improved Energy Infrastructure:

Investment in Resilient Infrastructure: Insights from this project might encourage investment in more resilient offshore energy infrastructure, enhancing overall system reliability and reducing the likelihood of disruptions.

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