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Submarine Landslides and their impacts on Offshore Infrastructures

Periodic Reporting for period 1 - SUBSLIDE (Submarine Landslides and their impacts on Offshore Infrastructures)

Berichtszeitraum: 2021-06-01 bis 2023-05-31

The overall research objective of SUBSLIDE is to develop a novel numerical tool capable of (a) simulating all stages of submarine landslides to understand the full mechanisms and (b) quantifying the impact forces of submarine landslides on offshore structures. Therefore, SUBSLIDE sets out four specific research objectives (ROs) and one training objective (TO) as follows:

RO1: Develop a fully coupled soil-fluid-structure MPM model capable of analysing pore water pressure development, landslide-induced waves, and the impact forces of submarine landslides.
RO2: Develop a critical-state soil model capable of reproducing the mechanical responses of the sediments as measured in laboratory.
RO3: Quantify trigger mechanisms (e.g. magnitude of earthquakes) of a submarine landslide and their influences on post-failure characteristics.
RO4: Quantify impact forces of potential submarine slides on anchors and mooring systems in Bjørnafjorden.
TO: Maximize my career prospects by developing multidisciplinary research skills in landslide hazard assessment along with complementary skills including grant writing, mentoring, and dissemination.
Submarine landslides are complicated because they involve a transition from a solid to a liquid phase during debris flow. Engineers currently use two different methods to assess the hazard of submarine landslides. First, they use finite element analysis to evaluate the marine slope. If the slope has high risk of failure, they then use CFD to predict the consequences of the debris flow. Our CFD-MPM model can do both in a single simulation. Moreover, it can provide insights into the triggering mechanism, the evolution of water pressure, temperature, and how marine sediments, seawater, and offshore structures interact with each other. These features have potential to improve risk assessment and mitigation strategies for submarine landslides.
Open-source codes developed in SUBLIDE have been maintained and manuals on GitHub open-source platform under an MIT license to maximise reproducibility and to eliminate any Intellectual Property Right barriers to industrial uptake of the results. Also, the numerical code was education tools leading to PhD and MSc theses through graduate supervisions. 2 Master thesis and 2 PhD students took direct benefits from using the code. The scientific findings have been used as preliminary results for other research proposals.
three phases of the numerical model
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