Damping effects of dual vertical baffles on coupled surge-pitch sloshing in three-dimensional tanks: A numerical investigation

Study on wave slamming characteristics of a typical floating wind turbine under freak waves

The spatial distribution of the world population is uneven, with a density of about 40% living in coastal regions. The trend is expected to continue in both demographic indicators and urban development rate, being many coastal cities in seismic- and tsunami-prone regions and built through informal and unplanned settlements, exposing their population and assets to such hazards. Recent tectonic-triggered events raised awareness of the cascading earthquake and tsunami threat and highlighted the paucity of structural design criteria considering the cumulative effects of both. By being exposed to the ground-motion, the structures’ resistance may decrease and become residual/non-existent to support the incoming tsunami, implying an underestimation of the risk. Risk management can benefit from reinforcing the ties between natural hazards and engineering practitioners, linking science and industry, and promoting dialogue between risk analysts and policy-makers. Motivated by the expansion plans of an internationally-sized deep-water port located in a tsunami-prone region, a reflection on the work needed to perform a multi-risk assessment and the challenges yet to overcome is introduced to emphasize the challenge of combining safety requirements with financial and ecologic concerns. A conceptual interdisciplinary-based methodology is proposed to support uncertainty-aware, systematic and informed decisions. 

Towards an integrated framework for the risk assessment of coastal structures exposed to earthquake and tsunami hazards

Three-dimensional study on the interaction between a container ship and freak waves in beam sea

Abstract Floating offshore wind turbines (FOWTs) are a promising offshore renewable energy harvesting facility but requesting multiple-disciplinary analysis for their dynamic performance predictions. However, engineering-fidelity level tools and the empirical parameters pose challenges due to the strong nonlinear coupling effects of FOWTs. A novel method, named SADA, was proposed by Chen and Hu (2021) for optimizing the design and dynamic performance prediction of FOWTs in combination with AI technology. In the SADA method, the concept of Key Disciplinary Parameters (KDPs) is also proposed, and it is of crucial importance in the SADA method. The purpose of this paper is to make an in-depth investigation of the characters of KDPs and the internal correlations between different KDPs in the dynamic performance prediction of FOWTs. Firstly, a brief description of SADA is given, and the basin experimental data are used to conduct the training process of SADA. Secondly, categories and boundary conditions of KDPs are introduced. Three types of KDPs are given, and different boundary conditions are used to analyze KDPs. The results show that the wind and current in Environmental KDPs are strongly correlated with the percentage difference of dynamic response rather than that by wave parameters. In general, the optimization results of SADA consider the specific basin environment and the coupling results between different KDPs help the designers further understand the factors that have a more significant impact on the FOWTs system in a specific domain. 

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Min Luo

Papers

An active-controlled heaving plate breakwater trained by an intelligent framework based on deep reinforcement learning

Experimental investigation of freak wave actions on a floating platform and effects of the air gap

Investigation of Two-layer Liquid Sloshing by Using the Consistent Particle Method

A CIP-based numerical simulation of wave interaction with a fluid-filled membrane submerged breakwater

Oil Spill Spreading Simulation Based on an Enhanced Multi-phase Consistent Particle Method