A novel cost-efficient deep learning framework for static fluid–structure interaction analysis of hydrofoil in tidal turbine morphing blade
A tidal turbine can benefit from exquisitely designed morphing blades with a flexible trailing
edge by mitigating up to 90% of the load fluctuation in harsh ocean environments, which …
edge by mitigating up to 90% of the load fluctuation in harsh ocean environments, which …
40th Anniversary of the first international topical meeting on nuclear reactor thermal-hydraulics: Highlights of thermal-hydraulics research in the past four decades
E Merzari, FB Cheung, SM Bajorek… - Nuclear Engineering and …, 2021 - Elsevier
The year 2020 marks the 40th anniversary of the first International Topical Meeting on
Nuclear Reactor Thermal-hydraulics (NURETH-1). Hosted by the thermal-hydraulics division …
Nuclear Reactor Thermal-hydraulics (NURETH-1). Hosted by the thermal-hydraulics division …
End-to-end brain tumor detection using a graph-feature-based classifier
Brain tumors are caused by abnormal cell growth and can cause pain and reduced survival
rates. The early detection of brain tumors is pivotal in improving outcomes. Recently …
rates. The early detection of brain tumors is pivotal in improving outcomes. Recently …
Review of physics-based and data-driven multiscale simulation methods for computational fluid dynamics and nuclear thermal hydraulics
AS Iskhakov, NT Dinh - arXiv preprint arXiv:2102.01159, 2021 - arxiv.org
Modeling of fluid flows requires corresponding adequate and effective approaches that
would account for multiscale nature of the considered physics. Despite the tremendous …
would account for multiscale nature of the considered physics. Despite the tremendous …
A Perspective on Data-Driven Coarse Grid Modeling for System-Level Thermal Hydraulics
In the future, advanced reactors are expected to play an important role in nuclear power.
However, their development and deployment are hindered by the absence of reliable and …
However, their development and deployment are hindered by the absence of reliable and …
Data-driven RANS closures for improving mean field calculation of separated flows
Z Chen, J Deng - Frontiers in Physics, 2024 - frontiersin.org
Reynolds-averaged Navier-Stokes (RANS) simulations have found widespread use in
engineering applications, yet their accuracy is compromised, especially in complex flows …
engineering applications, yet their accuracy is compromised, especially in complex flows …
Aerodynamic surrogate model based on deep long short-term memory network: An application on high-lift device control
Y Zhang, S Wang, G Sun, J Mao - Proceedings of the …, 2022 - journals.sagepub.com
An unsteady aerodynamic surrogate model based on the deep LSTM (long short-term
memory) network is proposed for predicting unsteady aerodynamic coefficients. Deflection …
memory) network is proposed for predicting unsteady aerodynamic coefficients. Deflection …
An improved neural network for modeling airfoil's unsteady aerodynamics in transonic flow
Y Pan, X An, Y Lei, C Ji - Physics of Fluids, 2024 - pubs.aip.org
Understanding the aerodynamic hysteresis loop phenomenon is essential when assessing
aerodynamic performance and designing aircraft control systems. This phenomenon is a …
aerodynamic performance and designing aircraft control systems. This phenomenon is a …
Physics-integrated machine learning: embedding a neural network in the Navier-Stokes equations. Part I
AS Iskhakov, NT Dinh - arXiv preprint arXiv:2008.10509, 2020 - arxiv.org
In this paper the physics-(or PDE-) integrated machine learning (ML) framework is
investigated. The Navier-Stokes (NS) equations are solved using Tensorflow library for …
investigated. The Navier-Stokes (NS) equations are solved using Tensorflow library for …
[HTML][HTML] Thermal stratification prediction in reactor system based on CFD simulations accelerated by a data-driven coarse-grid turbulence model
Z Liu, P Zhao, BA Florin, X Cheng - Nuclear Engineering and Technology, 2024 - Elsevier
Thermal stratification in large enclosures is an integral phenomenon to nuclear reactor
system safety. Currently, the effective model for thermal stratification utilizes a multi-scale …
system safety. Currently, the effective model for thermal stratification utilizes a multi-scale …