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In this work, we implement models that are able to describe complex rheological behaviour (such as shear-banding and elastoviscoplasticity) in the system, which is a recently developed Computational Fluid Dynamics (CFD) software that can simulate Newtonian, Generalised-Newtonian and viscoelastic flows using finite differences in hierarchical grids. The system uses a moving least squares (MLS) meshless interpolation technique, allowing for more complex mesh configurations while still keeping the overall order of accuracy. The selected models are the Vasquez-Cook-McKinley (VCM) model for shear-banding micellar solutions and the Saramito model for viscoelastic fluids with yield stress. Development of solvers and numerical simulations of inertial flows of these models in 2D channels and planar-contraction 4:1 are carried out in the system. Our results are compared with those predicted by two other methodologies: the OpenFOAM-based software that uses the Finite-Volume-Method and an in-house code that uses the Vorticity-Velocity-Formulation (). We found an excellent agreement between the numerical results obtained by these three different methods. A mesh convergence analysis using uniform and refined meshes is also carried out, where we show that great convergence results in tree-based grids are obtained thanks to the finite difference method and the meshless interpolation scheme used by the . More importantly, we show that our methodology implemented in the system can successfully reproduce rheological behaviour of high interest by the rheology community, such as non-monotonic flow curves of micellar solutions and plug-flow velocity profiles of yield-stress viscoelastic fluids.
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http://dx.doi.org/10.3390/polym14224958 | DOI Listing |
Most of the United States (US) population resides in cities, where they are subjected to the urban heat island effect. In this study, we develop a method to estimate hourly air temperatures at resolution, improving exposure assessment of US population when compared to existing gridded products. We use an extensive network of personal weather stations to capture the intra-urban variability.
View Article and Find Full Text PDFChaos
September 2025
Department of Mathematics and Statistics, University of Vermont, Burlington, Vermont 05405, USA.
Almost equitable partitions (AEPs) have been linked to cluster synchronization in oscillatory systems, highlighting the importance of structure in collective network dynamics. We provide a general spectral framework that formalizes this connection, showing how eigenvectors associated with AEPs span a subspace of the Laplacian spectrum that governs partition-induced synchronization behavior. This offers a principled reduction of network dynamics, allowing clustered states to be understood in terms of quotient graph projections.
View Article and Find Full Text PDFSensors (Basel)
August 2025
State Grid Shandong Electric Power Institute, Jinan 250000, China.
With the rapid evolution of smart grids, secure and efficient data communication among hierarchical sensor devices has become critical to ensure privacy and system integrity. However, existing protocols often fail to balance security strength and resource constraints of terminal sensors. In this paper, we propose a novel identity-based secure data communication protocol tailored for hierarchical sensor groups in smart grid environments.
View Article and Find Full Text PDFPLoS One
August 2025
Hunan Automotive Engineering Vocational University, Zhuzhou, Hunan, China.
With the rapid development of smart grids and the Power Internet of Things (PIoT), wireless communication networks are facing the severe threat of dynamic eavesdropping attacks. Traditional detection methods rely on static assumptions or shallow models, which are not capable of dealing with complex topology mutations and high-dimensional nonlinear features. There is an urgent need for efficient and lightweight adaptive solutions.
View Article and Find Full Text PDFJ Opt Soc Am A Opt Image Sci Vis
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In the context of increasing demand for secure 3D object encryption and the development of holographic technology, this paper proposes a multi-depth, full-color holographic encryption system based on a hierarchical chaotic algorithm (HCA). A high-quality three-dimensional mesh is automatically generated from a two-dimensional image, which is more efficient and versatile than using a depth camera to generate a 3D mesh. The 3D information is divided into multiple layers by point cloud gridding (PCG) processing, and then these layers are encoded into computer-generated holograms (CGHs).
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