A tensorial approach to computational continuum mechanics using object-oriented techniques

Weller, H. G.; Tabor, Gavin; Jasak, Hrvoje; Fureby, Christer

doi:10.1063/1.168744

Cited by 4,330 publications

(2,016 citation statements)

References 27 publications

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“…The framework OpenFOAM [4] was utilized for the numerical solution of the total problem. Four different models are available in OpenFOAM for calculating the radiation : fvDOM, P1, opaque solid and view factor models.…”

Section: Mathematical Modelmentioning

confidence: 99%

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CFD Simulation of Thermo- Aerodynamic Interaction in a System Human-Cloth-Environment Under Very Low Temperature and Wind Conditions

Cherunova¹,

Samarbaksch²,

Kornev³

2016

Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016)

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Abstract. The paper presents study of coupled aerodynamic and thermodynamic interaction between human body and environment under low temperature and wind conditions. The passive heating or the prescribed heat flux model is used to model the metabolic heat release by human body. The heat flux is selected from the condition that the surface temperatures take experimental values for certain environmental conditions. Heat transport inside of the clothes, radiation, natural and forced convection are simulated using OpenFOAM toolkit. Results are obtained for the schematic human body in form of a cylinder and real body. It was shown that only forced convection and heat conduction play an essential role at wind conditions and low temperatures whereas the radiation and natural convection can be neglected. To keep the human body temperature on the acceptable level, the local heating elements can be embedded into the clothes textile. The power of this heating was calculated using the models of aero-thermodynamic coupled interaction including heat radiation. Under strong wind conditions the heat transfer from the human body can sufficiently be increased due to change of the thermal conductivity caused by cloth deformation under wind induced pressures. The results of the work are used for the design of real protection clothes for the work under low temperatures and wind conditions in oil gas industry. 7703

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Section: Mathematical Modelmentioning

confidence: 99%

“…This value allows one to obtain the temperature of 30 0 C on the body surface. Calculations were performed with the code OpenFoam [4]. To couple the air environment with the solid bodies including the cloth the turbulent TemperatureCoupledBaffleMixed routine is used.…”

Section: Preliminary Study Using Cylinder Model With Clothmentioning

confidence: 99%

CFD Simulation of Thermo- Aerodynamic Interaction in a System Human-Cloth-Environment Under Very Low Temperature and Wind Conditions

Cherunova¹,

Samarbaksch²,

Kornev³

2016

Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016)

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“…The steady state solution is achieved using an Euler implicit time scheme. Bounded central schemes are used for the numerical discretization of both the primal and the adjoint problems, see [15]. In the turbulent test cases, the turbulence in the primal problem is modeled using a RANS approach.…”

Section: Numerical Implementationmentioning

confidence: 99%

Adjoint-Based Robust Optimization Using Polynomial Chaos Expansions

Miranda¹,

Kumar²,

Lacor³

2016

Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016)

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Abstract. Adjoint methods are nowadays widely used to efficiently perform optimization for problems with a large number of design variables. However, in reality, the problem at hand might be subjected to uncertainties in the operational conditions or, in case of optimizing geometries, the design variables itself might be uncertain due to manufacturing tolerances. For such applications, the optimum obtained using deterministic methods might be very sensitive to small variations in the uncertainties, i.e. it lacks robustness. In a robust optimization, the uncertainties are taken directly into account during the optimization process by introducing, next to the mean objective, its variance as a second objective. This implies that, when using gradient based optimization methods, the gradients of both objectives (mean and variance) must be known. In this work the Polynomial Chaos Expansion (PCE) is used in combination with adjoint methods to efficiently obtain both gradients. A non intrusive, regression based PCE is used, requiring a new adjoint solution for each sampling point in order to build the PCE of the gradient. A PCE for the objective is also built (at no extra cost) in order to compute the gradient of the variance.A weighted average of both gradients is then used to find an optimum. By changing the weighting factors the solution can be found favouring either of the two objectives. The developed approach is applied to relevant engineering problems, such as geometrical optimization of pipe flows and flow over airfoils. The design variables are the shape coordinates and no parameterization is used. In this work, the design variables were considered deterministic with the uncertainties coming from operational conditions.

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“…System (20) accounts for N u equations, given by the momentum equation projected on each of the velocity modes. Yet, the system presents N u + N p unknowns given by the temporal coefficients of velocity a and pressure b.…”

Section: Rom For Pressure -Poisson Equation For Pressurementioning

confidence: 99%

“…An advantage of the FVM is that of ensuring local enforcement of the conservative law since equations are written in conservative form. In this work the high fidelity simulations are carried out making use of the finite volume C++ library OpenFOAM R (OF) [20].…”

Section: The Full Order Modelmentioning

confidence: 99%

POD-Galerkin reduced order methods for CFD using Finite Volume Discretisation: vortex shedding around a circular cylinder

Stabile

Hijazi

Mola

et al. 2017

Communications in Applied and Industrial Mathematics

142

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Vortex shedding around circular cylinders is a well known and studied phenomenon that appears in many engineering fields. A Reduced Order Model (ROM) of the incompressible flow around a circular cylinder is presented in this work. The ROM is built performing a Galerkin projection of the governing equations onto a lower dimensional space. The reduced basis space is generated using a Proper Orthogonal Decomposition (POD) approach. In particular the focus is into (i) the correct reproduction of the pressure field, that in case of the vortex shedding phenomenon, is of primary importance for the calculation of the drag and lift coefficients; (ii) the projection of the Governing equations (momentum equation and Poisson equation for pressure) performed onto different reduced basis space for velocity and pressure, respectively; (iii) all the relevant modifications necessary to adapt standard finite element POD-Galerkin methods to a finite volume framework. The accuracy of the reduced order model is assessed against full order results.

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A tensorial approach to computational continuum mechanics using object-oriented techniques

Cited by 4,330 publications

References 27 publications

CFD Simulation of Thermo- Aerodynamic Interaction in a System Human-Cloth-Environment Under Very Low Temperature and Wind Conditions

CFD Simulation of Thermo- Aerodynamic Interaction in a System Human-Cloth-Environment Under Very Low Temperature and Wind Conditions

Adjoint-Based Robust Optimization Using Polynomial Chaos Expansions

POD-Galerkin reduced order methods for CFD using Finite Volume Discretisation: vortex shedding around a circular cylinder

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