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Toward robust scalar-based gradient plasticity modeling and simulation at finite deformations
Strain gradient plasticity has been the subject of extensive research in the past 40 years in order to model size effects in metal plasticity, on the...
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Directional Derivatives and Gradient
Let a real-valued function f of two real variables of class C1 be given. A vector, called the gradient of the function, whose components are the... -
Skin Friction from Surface Scalar Visualizations
This chapter describes extraction of a skin friction field from surface scalar visualizations with pressure sensitive paint (PSP) as an oxygen sensor... -
Collective Gradient Following with Sensory Heterogeneous UAV Swarm
In this paper, we present a new method for a swarm to collectively sense and follow a gradient in the environment. The agents in the swarm only rely... -
Scalar Potentials and Applications
Vector- and scalar-potential-based methods for aiding in the solution of Maxwell equations are discussed. In particular, potential-based methods for... -
A constrained subgrid-scale model for passive scalar turbulence
In this paper, a constrained large-eddy simulation (C-LES) model is used to simulate passive scalar in turbulent flows. The coefficients of the...
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Performance of passive scalar method in heat transfer simulation of a two-dimensional droplet focusing on the parasitic temperatures
The pseudopotential models are very convenient, flexible and robust for practical purposes of two-phase dynamics, but the presence of spurious...
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Gradient and Related Operators
In a continuation of vectorVector(s)and tensor calculus and tensor calculus, this chapter mainly studies the actions of gradient , divergence and... -
Effect of the Internal Length Scale Parameter in Gradient Damage Mechanics
Gradient enhanced continuum damage mechanics is one of the best methods to remedy the mesh sensitivity and mathematically infeasible results usually... -
Related turbulent momentum and passive scalar transfer in a turbulent channel flow
Direct numerical simulation was carried out to investigate the correlation between the momentum and passive scalar transfer in a turbulent channel...
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Single-View 3D Reconstruction Based on Gradient-Applied Weighted Loss
There has been considerable research on reconstructing 3D shapes from single-view images; however, preserving the detailed information of the input...
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Complete General Solutions for Equilibrium Equations of Isotropic Strain Gradient Elasticity
In this paper, we consider isotropic Mindlin–Toupin strain gradient elasticity theory, in which the equilibrium equations contain two additional...
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Robust Gradient Estimation Algorithm for a Stochastic System with Colored Noise
This paper studies the parameter estimation algorithms of a finite impulse response system with colored noise. To suppress the negative effects of...
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Strain gradient elasticity theory of polymer networks
In physically (statistically) based theories for rubber-like materials, network models serve as a bridge that connects chain dynamics to continuum...
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A new continuous printing path planning method for gradient honeycomb infill structures
Cellular infill structures such as honeycomb have been widely used in the field of light weighting. In recent years, the emergence of additive...
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Plane crack problems within strain gradient elasticity and mixed finite element implementation
An alternative approach is proposed and applied to solve boundary value problems within the strain gradient elasticity theory. A mixed variation...
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Flow and passive scalar transfer characteristics around a row of interacting tandem cylinders
Transfer and transport of a passive scalar as well as flow structures of unbounded flow over a row of 2, 3, 4 and 5 equispaced identical cylinders at Re...
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Adaptive Multi-Innovation Gradient Identification Algorithms for a Controlled Autoregressive Autoregressive Moving Average Model
The controlled autoregressive autoregressive moving average (CARARMA) models are of popularity to describe the evolution characteristics of dynamical...
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Identification of material parameters in low-data limit: application to gradient-enhanced continua
Due to the growing trend towards miniaturization, small-scale manufacturing processes have become widely used in various engineering fields to...
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Data-driven estimation of scalar quantities from planar velocity measurements by deep learning applied to temperature in thermal convection
The measurement of the transport of scalar quantities within flows is oftentimes laborious, difficult or even unfeasible. On the other hand, velocity...