Article
Mechanics
Yesheng Lu, Nian-Sheng Cheng, Maoxing Wei
Summary: Difficulties in estimating bed shear stress in vegetated flows are addressed in this study using an analytical approach based on the phenomenological theory of turbulence, without empirical partition of bed friction and vegetation resistance. The computed bed-load transport rate in vegetated flows aligns well with the formula for unvegetated flows, and the method is applicable to both uniformly distributed vegetation and vegetation patches. However, further research is necessary to extend the model to flexible and submerged vegetation conditions.
Article
Environmental Sciences
Xin Chen, Minghong Chen, Jingkai Wu, Haifei Liu, Chen Yang
Summary: A velocity formula is proposed to describe the flow over a mobile sediment bed induced by velocity-skewed waves and current. The formula separates the contributions of waves and current velocities and includes seven variables related to free stream velocity and sediment characteristics. The formula consists of a wave part and a current part, with the wave part playing a dominant role in determining the boundary layer characteristics. The study also highlights the asymmetries in velocity and residual velocity under velocity-skewed waves and current conditions, as well as the phase lead and mobile bed effect.
INTERNATIONAL JOURNAL OF SEDIMENT RESEARCH
(2022)
Article
Engineering, Marine
Erdinc Sogut, Deniz Velioglu Sogut, Ali Farhadzadeh
Summary: This paper presents findings from laboratory wave flume experiments on the formation and evolution of scour around a non-slender, square vertical structure. The results show that the introduction of steady currents significantly influences the depth, width, volume, and location of the scour.
Article
Geosciences, Multidisciplinary
Daisuke Sugawara
Summary: In the past decade, significant progress has been made in tsunami numerical modeling, including improvements in propagation and inundation modeling, multi-physics simulations, and real-time forecasting. While there have been advances, further exploration is still needed to enhance accuracy and capability, along with improved understanding of model limitations and uncertainties.
EARTH-SCIENCE REVIEWS
(2021)
Article
Environmental Sciences
Philippe April Le Quere, Ioan Nistor, Majid Mohammadian
Summary: This study focuses on the impact of flow concentration induced by tsunamis on scouring, comparing the effects of structure spacing and non-concentrated flow-induced scour. Results indicate that flow concentration due to lateral spacing of structures leads to greater scouring than for isolated structures, exceeding the prescribed limits in most cases.
JOURNAL OF COASTAL RESEARCH
(2021)
Article
Engineering, Marine
Andreas Papadimitriou, Michalis Chondros, Anastasios Metallinos, Vasiliki Tsoukala
Summary: Process-based models are commonly used for predicting coastal bed evolution, but they require high computational resources. This study introduces a method combining numerical modeling and Artificial Neural Network to reduce wave data and improve simulation speed and accuracy.Implementing this method in both idealized and real-field cases showed promising results for faster and more reliable morphological simulations.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Marine
Joost W. M. Kranenborg, Geert H. P. Campmans, Niels G. Jacobsen, Jebbe J. van der Werf, Ad J. H. M. Reniers, Suzanne J. M. H. Hulscher
Summary: In this study, a fully coupled 2DV morphodynamic model implemented in OpenFOAM was presented for simulating swash-zone morphodynamics of sandy beaches. The model performance was evaluated by comparing with field-scale measurements of solitary waves, showing reasonable agreement in terms of hydrodynamics and sediment transport volumes. The model demonstrated the potential of depth-resolving models in providing more insight into morphodynamic processes in the swash zone.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Review
Geosciences, Multidisciplinary
W. Chen, J. J. van der Werf, S. J. M. H. Hulscher
Summary: The swash zone plays a crucial role in nearshore hydrodynamics and morphodynamics. Proper prediction of swash zone sand transport is important for evaluating beach management scenarios. This paper describes the advances in understanding the physical processes and factors influencing sand transport in the swash zone and discusses practical models for predicting long-term beach evolution.
EARTH-SCIENCE REVIEWS
(2023)
Article
Environmental Sciences
L. E. Polvi
Summary: In northern Fennoscandia, the landscape context of semi-alluvial rapids leads to low amounts of fine sediment and incompetent flows to transport boulders.
WATER RESOURCES RESEARCH
(2021)
Article
Mechanics
B. Vowinckel, E. Biegert, E. Meiburg, P. Aussillous, E. Guazzelli
Summary: By comparing simulation data with experimental data, we have identified the rheological behavior of sheared sediment beds in pressure-driven flow and discovered good agreement in rheological properties between dense and dilute regimes. A critical particle volume fraction of 0.3 was found to separate the two regions and the effective viscosity obeyed the Einstein relation in the dilute regime.
JOURNAL OF FLUID MECHANICS
(2021)
Article
Oceanography
Tian Zhuangcai, Liu Chao, Jia Yonggang, Song Lei, Zhang Mingwei
Summary: This study analyzes the water profile and high-resolution multibeam bathymetric data near the Dongsha slope in the South China Sea, revealing the significant impact of submarine trenches on sediment resuspension caused by internal solitary waves (ISWs). The findings also show that ISWs in the wave-wave interaction zone enhance sediment mixing and resuspension.
JOURNAL OF OCEAN UNIVERSITY OF CHINA
(2023)
Article
Engineering, Marine
Zhiying Yang, Bo Huang, Azhen Kang, Bing Zhu, Jiayi Han, Ruitao Yin, Xin Li
Summary: Wave-current interaction affects both wave characteristics and current properties, impacting the forces on coastal structures. Experimental results show that wave height decreases with increasing current velocity when waves travel with following currents, especially for waves with smaller original wave height and in deeper water depth. The water velocity near the still water level during following currents equals the linear superposition of wave-alone and current-alone water velocity.
Article
Oceanography
Florian Grossmann, David Hurther, Joep van der Zanden, Ivan Caceres, Agustin Sanchez-Arcilla, Jose M. Alsina
Summary: This study conducted large-scale laboratory experiments on a steep initial beach slope, providing detailed insights into the hydrodynamics and sediment fluxes. The research revealed the relationships between velocity and sand concentration, as well as the morphological evolution related to wave dynamics.
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
(2022)
Article
Environmental Sciences
Iwona Radosz, Jerzy Zawisza, Jaroslaw Biegowski, Maciej Paprota, Dawid Majewski, Leszek M. Kaczmarek
Summary: The purpose of this study was to collect experimental data on sediment fluxes during the wave crest and trough phase over a sloped bed. Measurements were conducted using the particle image method and sediment transport rates and granulometric distributions were recorded. Results were compared with previous data collected over a flat bed and a theoretical analysis based on a three-layer model. A modified model is proposed to account for sediment fluxes over a sloped bed, improving the consistency of the calculations with the measurements.
Article
Engineering, Civil
He Ma, Ludi Xu, Samuel Ukpong Okon, Peng Hu, Wei Li, Huabin Shi, Zhiguo He
Summary: This study presents a coupled model to predict morphodynamic changes during storm surges. The model accurately simulates the morphological evolution of the Santa Rosa barrier island caused by Hurricane Ivan's storm surge.
COASTAL ENGINEERING
(2024)
Article
Physics, Fluids & Plasmas
X. I. A. Yang, S. Zafar, J-X Wang, H. Xiao
PHYSICAL REVIEW FLUIDS
(2019)
Article
Computer Science, Interdisciplinary Applications
Heng Xiao, Jin-Long Wu, Sylvain Laizet, Lian Duan
COMPUTERS & FLUIDS
(2020)
Article
Computer Science, Interdisciplinary Applications
Jin-Long Wu, Karthik Kashinath, Adrian Albert, Dragos Chirila, Prabhat, Heng Xiao
JOURNAL OF COMPUTATIONAL PHYSICS
(2020)
Article
Computer Science, Interdisciplinary Applications
Xin-Lei Zhang, Carlos Michelen-Strofer, Heng Xiao
JOURNAL OF COMPUTATIONAL PHYSICS
(2020)
Article
Physics, Fluids & Plasmas
Muhammad Zafar, Heng Xiao, Meelan M. Choudhari, Fei Li, Chau-Lyan Chang, Pedro Paredes, Balaji Venkatachari
PHYSICAL REVIEW FLUIDS
(2020)
Article
Engineering, Multidisciplinary
Xu-Hui Zhou, Jiequn Han, Heng Xiao
Summary: Constitutive models are commonly used in modeling complex systems in science and engineering, but traditional models have drawbacks. A novel constitutive model based on Vector-Cloud Neural Network is proposed, which is independent of the frame and nonlocal, suitable for fluid simulations on unstructured meshes.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Xu-Hui Zhou, Jiequn Han, Heng Xiao
Summary: Constitutive and closure models are essential in computational mechanics and physics, describing the relationship between stress and strain in materials. A neural network-based nonlocal constitutive model has been proposed, showing promising predictive capability and interpretability.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2021)
Article
Physics, Fluids & Plasmas
Xu-Hui Zhou, James E. McClure, Cheng Chen, Heng Xiao
Summary: This study proposes incorporating a coarse-mesh velocity field into neural networks to improve prediction performance for unknown porous media. The results show that incorporating the coarse velocity field significantly enhances the prediction accuracy of the fine velocity field and even using low-resolution coarse velocity fields can still provide good predictions. The feasibility of the method is also demonstrated by testing on real rocks.
PHYSICAL REVIEW FLUIDS
(2022)
Article
Mechanics
Xin-Lei Zhang, Heng Xiao, Xiaodong Luo, Guowei He
Summary: In this work, an ensemble Kalman method is proposed to learn a nonlinear eddy viscosity model using a tensor basis neural network. By training the neural-network-based turbulence model with indirect observation data, the method proves to be effective in correctly learning the underlying turbulence models and predicting flows in similar configurations.
JOURNAL OF FLUID MECHANICS
(2022)
Article
Geosciences, Multidisciplinary
Yanle Lu, Xu-Hui Zhou, Heng Xiao, Qi Li
Summary: Developing urban land surface models for high-resolution city modeling requires better consideration of city-specific multi-scale land surface heterogeneities at a reasonable computational cost. We propose using an encoder-decoder convolutional neural network to efficiently predict the mean velocity field directly from urban geometries. The trained model successfully captures the effects of pressure drag, leading to a significant reduction in prediction error compared to default parameterization.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Thermodynamics
Ruiying Xu, Xu-Hui Zhou, Jiequn Han, Richard P. Dwight, Heng Xiao
Summary: This study introduces the use of a vector-cloud neural network to learn a nonlocal constitutive model, achieving promising results in fluid dynamics research. The method demonstrates high accuracy in predicting turbulent quantities and shows good robustness and stability when integrated back into the RANS solver.
INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW
(2022)
Article
Chemistry, Physical
Xu-Hui Zhou, Haochen Wang, James McClure, Cheng Chen, Heng Xiao
Summary: Multiphase flows through reservoir rocks are complex and important for reservoir management. Relative permeability, a primary determinant in reservoir performance calculations, can be accurately estimated using the ensemble Kalman method with sparse saturation data. The proposed method is validated with synthetic benchmarks and a field-scale model, showing good performance in estimating relative permeability curves. This study demonstrates the feasibility of using the ensemble Kalman method to predict multiphase flow and reservoir production.
EUROPEAN PHYSICAL JOURNAL E
(2023)
Article
Computer Science, Interdisciplinary Applications
Jiequn Han, Xu-Hui Zhou, Heng Xiao
Summary: Developing robust constitutive models for tensorial quantities is a fundamental problem for accelerating multiscale physics simulations. In this work, a neural operator called VCNN-e is proposed to develop nonlocal constitutive models for tensorial quantities. The model guarantees invariance to frame translation and ordering of neighboring points, and equivariance to frame rotation.
JOURNAL OF COMPUTATIONAL PHYSICS
(2023)
Article
Computer Science, Artificial Intelligence
Muhammad Zafar, Meelan M. Choudhari, Pedro Paredes, Heng Xiao
Summary: This paper introduces an end-to-end transition model based on a recurrent neural network, suitable for aerodynamic design across various flow regimes. The model can directly predict the N-factor envelope and transition locations.
DATA-CENTRIC ENGINEERING
(2021)
Article
Mechanics
Carlos A. Michelen Strofer, Heng Xiao
Summary: The paper demonstrates the viability of training deep learning turbulence models using differentiable programming, presenting an end-to-end framework for learning eddy viscosity models from indirect observations. The approach shows the ability to learn the true underlying turbulence closure and achieves predictive capability on similar flows.
THEORETICAL AND APPLIED MECHANICS LETTERS
(2021)
