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Structure and mixing of a meandering turbulent chemical plume: turbulent mixing and eddy diffusivity
Turbulent mixing in a meandering non-buoyant chemical plume is far less understood than in a straight plume—partially due to difficulty separating...
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Stability and Transition of Boundary Layer Flow
The energy gradient theory is used to study the stability and turbulent transition in boundary layer flow on flat plate. It is found that the origin... -
A continuum model for the elongation and orientation of Von Willebrand factor with applications in arterial flow
The blood protein Von Willebrand factor (VWF) is critical in facilitating arterial thrombosis. At pathologically high shear rates, the protein...
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Resolvent analysis of swirling turbulent jets
AbstractThis study explores coherent structures in a swirling turbulent jet. Stationary axisymmetric solutions of the Reynolds–Averaged Navier–Stokes...
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Application of Machine Learning for Forced Plume in Linearly Stratified Medium
Direct numerical simulation (DNS) is very accurate; however, the computational cost increases significantly with the increase in Reynolds number. On... -
Differential Geometry of Surfaces and Curves
This chapter provides an introduction to differential geometryGeometrydifferential of embedded surfacesEmbeddedsurfaces and curves in the... -
Contribution on the Dimensioning of a Doubly Reinforced Prestressed Concrete I-Beam Using GRG and DE Optimization
This paper presents a comprehensive contribution to the design of doubly reinforced prestressed concrete I-beams by means of cost optimization. The...
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A physics-informed deep learning liquid crystal camera with data-driven diffractive guidance
Whether in the realms of computer vision, robotics, or environmental monitoring, the ability to monitor and follow specific targets amidst intricate...
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A Novel Method of Translation Memory to Improve Machine Translation
Numerous studies have provided evidence of the performance enhancement achieved in neural machine translation (NMT) through the utilization of... -
Controlling the Shape of a Muscular Hydrostat: A Tongue or Tentacle*
A mathematical model of the human tongue, developed as part of a larger project to understand its movement, use in speech, and control, is described.... -
A multiphysical computational model of myocardial growth adopted to human pathological ventricular remodelling
We present a novel three-dimensional constitutive model that describes an electro-visco-elastic-growth response on the myocardium with a fully...
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Foodborne Disease Symptoms, Diagnostics, and Predictions Using Artificial Intelligence-Based Learning Approaches: A Systematic Review
Food-borne diseases have a high worldwide occurrence, substantially impacting public health and the social economy. Most food-borne diseases are...
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Evaluation of the physical characteristics of reinforced concrete subject to corrosion using a poro-elastic acoustic model inversion technique applied to ultrasonic measurements
The use of reinforced concrete is foundational to modern infrastructure. Acknowledging this, it is imperative that health monitoring techniques be in...
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Causal Analysis and Classification of Traffic Crash Injury Severity Using Machine Learning Algorithms
ObjectivesCausal analysis and classification of injury severity applying non-parametric methods for traffic crashes have received limited attention....
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3D Printing of Polymer Composites
Material Extrusion Additive Manufacturing (MEAM) has recently been acknowledged as a time-efficient and reliable process of manufacturing polymer... -
Physics-Informed Neural Networks for Nonlinear Analysis of Reinforced Concrete Beams
Reinforced concrete (RC) beams are a common structural component in buildings and bridges and play a pivotal role in design and verification... -
Explicit, fully implicit and forward gradient numerical integration of a hyperelasto-viscoplastic constitutive model for amorphous polymers undergoing finite deformation
Following the growing use of amorphous polymers in an expanding range of applications, interest for numerical modeling of polymer behavior has...
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An In Silico-Based Investigation on Anisotropic Hyperelastic Constitutive Models for Soft Biological Tissues
We review twelve invariant and dispersion-type anisotropic hyperelastic constitutive models for soft biological tissues based on their fitting...
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Strain Gradient Crystal Plasticity: Intergranular Microstructure Formation
This chapter addresses the formation and evolution of inhomogeneous plastic deformation field between grains in polycrystalline metals by focusing on... -
The effect of variations in experimental and computational fidelity on data assimilation approaches
We conduct a comprehensive analysis of two data assimilation methods: the first utilizes the discrete adjoint approach with a correction applied to...