DLFSI: A deep learning static fluid-structure interaction model for hydrodynamic-structural optimization of composite tidal turbine blade
Horizontal axis tidal turbines (HATT) conversion of ocean tidal waves into electricity
represents a promising source of clean and sustainable energy. However, the widespread …
represents a promising source of clean and sustainable energy. However, the widespread …
Status and Challenges of Marine Current Turbines: A Global Review
Y Gu, T Zou, H Liu, Y Lin, H Ren, Q Li - Journal of Marine Science and …, 2024 - mdpi.com
Over the past few decades, marine current energy utilization has transitioned from
conceptual demonstrations to industrial-scale prototypes. This progression now approaches …
conceptual demonstrations to industrial-scale prototypes. This progression now approaches …
[HTML][HTML] Structural optimization design of dual robot gripper unloading device based on intelligent optimization algorithms and generative design
J Jia, X Sun, T Liu, J Tang, J Wang, X Hu - Sensors, 2023 - mdpi.com
The main aim of this paper is to explore new approaches to structural design and to solve
the problem of lightweight design of structures involving multivariable and multi-objectives …
the problem of lightweight design of structures involving multivariable and multi-objectives …
TurbineNet/FEM: Revolutionizing fluid-structure interaction analysis for efficient harvesting of tidal energy
Horizontal axis tidal turbines (HATT) are promising candidates for hydroelectric power
extraction in coastal urban applications. Currently, concerns around the fluid–structure …
extraction in coastal urban applications. Currently, concerns around the fluid–structure …
A reduced order modeling-based machine learning approach for wind turbine wake flow estimation from sparse sensor measurements
A comprehensive understanding of wind turbine wake characteristics is vital, particularly in
the context of expanding large offshore wind farms. Existing wake measurement techniques …
the context of expanding large offshore wind farms. Existing wake measurement techniques …
Deep learning enhanced fluid-structure interaction analysis for composite tidal turbine blades
A precise and cost-effective prediction tool for fluid-structure interaction (FSI) analysis is
crucial for optimizing the structural design of tidal turbine blades. However, the high …
crucial for optimizing the structural design of tidal turbine blades. However, the high …
A deep learning approach for hydrofoil optimization of tidal turbines
C Li, B Liang, P Yuan, Q Zhang, J Tan, X Si, Y Liu - Ocean Engineering, 2024 - Elsevier
Hydrofoil optimization plays a crucial role in improving the hydrodynamic performance of
tidal turbines. However, the high-dimensional representations in hydrofoil design space …
tidal turbines. However, the high-dimensional representations in hydrofoil design space …
Tidal turbine blade design optimization based on coupled deep learning and blade element momentum theory
C Li, B Liang, P Yuan, B Liu, M Zhao, Q Zhang… - Physics of …, 2024 - pubs.aip.org
The practical design optimization of blade structures is crucial for enhancing the power
capture capability of tidal turbines. However, the significant computational costs required for …
capture capability of tidal turbines. However, the significant computational costs required for …
A novel generative approach to the parametric design and multi-objective optimization of horizontal axis tidal turbines
As the demand for ocean energy continues to grow, the development of efficient design and
optimization methods for tidal current turbines is crucial. Traditional approaches, often based …
optimization methods for tidal current turbines is crucial. Traditional approaches, often based …
A novel generative–predictive data-driven approach for multi-objective optimization of horizontal axis tidal turbine
Tidal turbines play a critical role in converting the kinetic energy of water into electricity,
contributing significantly to energy conversion. However, the current optimization design of …
contributing significantly to energy conversion. However, the current optimization design of …