ESIMPLE, a new pressure–velocity coupling algorithm for built-environment CFD simulations

Semião, Viriato

doi:10.1016/j.buildenv.2021.108170

Cited by 11 publications

(3 citation statements)

References 31 publications

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“…In practice, the construction of this PDF is avoided and a more economical thinning-and-rejection algorithm [14] is used. A size-𝑙 eddy event is probabilistically accepted with local rate 𝜏 −1 = 𝐶 √ 2𝐸∕𝑙 2 , where 𝐸 = 𝐸 kin − 𝑍𝐸 vp is the current specific available eddy energy that for incompressible shear flow only takes kinetic energy (𝐸 kin ) and viscous 'penalty' energy (𝐸 vp ) contributions. In the present application, the free ODT model parameters are fixed at 𝐶 = 6.5 and 𝑍 = 300 (following Glawe [27]), which is a reasonable selection for low-Reynolds number channel and boundary-layer type flows [28][29][30].…”

Section: Overview Of the Map-based Stochastic One-dimensional Turbule...mentioning

confidence: 99%

“…Low-fidelity modeling based on the Reynolds-averaged Navier-Stokes (RaNS) equations is state-of-the-art for numerical simulation of complex flows at high Reynolds number, which is in particular the case for atmospheric boundary-layer flows [1,2], among other industrial applications. RaNS provides fast turn-around times at reasonable accuracy for applications that are well described by some calibrated set-up and dedicated modeling approach, especially for the wall [3,4].…”

Section: Introductionmentioning

confidence: 99%

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Stochastic deconvolution of wall statistics in Reynolds‐averaged Navier–Stokes simulations based on one‐dimensional turbulence

Glawe,

Klein,

Schmidt

2023

Proc Appl Math and Mech

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Reynolds‐averaged Navier–Stokes simulation (RaNS) is state‐of‐the‐art for numerical analysis of complex flows at high Reynolds number. Standalone RaNS may yield a reasonable estimate of the wall‐shear stress and turbulent drag if a proper wall‐function is prescribed, but detailed turbulence statistics cannot be obtained, especially at the wall. This lack in modeling is addressed here by a stochastic deconvolution strategy based on a stochastic one‐dimensional turbulence (ODT) model. Here, a one‐way coupling strategy is proposed in which a forcing term is computed from the balanced RaNS solution that is in turn utilized in the ODT model. The temporally developing ODT solution exhibits turbulent perturbations but relaxes toward the local RaNS solution due to resolved molecular‐diffusive processes. It is demonstrated that the approach is able to recover the distribution of positive wall‐shear stress fluctuations in turbulent channel flow. When formulated as post‐processing tool, it is suggested that RaNS can be enhanced by ODT providing economical means for local high‐fidelity numerical modeling based on a low‐fidelity flow solution.

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Section: Overview Of the Map-based Stochastic One-dimensional Turbule...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Stochastic deconvolution of wall statistics in Reynolds‐averaged Navier–Stokes simulations based on one‐dimensional turbulence

Glawe,

Klein,

Schmidt

2023

Proc Appl Math and Mech

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“…Serra and Semiao [30] analyzed the CPU time and number of cells necessary for convergence in the most efficient scenario of the study and achieved improvements ranging from 1 to 39% fewer iterations and 10 and 185% shorter CPU time in comparison to the other variables studied.…”

Section: Mesh Convergence Studymentioning

confidence: 99%

Simulation Study of Hydrodynamic Conditions in Reaction Cell for Cement Biomineralization Using Factorial Design and Computational Fluid Dynamics: Prospects for Increased Useful Life of Concrete Structures and Energetic/Environmental Benefits

et al. 2023

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Studies have reported the incorporation of microorganisms into cement to promote the formation of calcium carbonate in cracks of concrete, a process known as biomineralization. The paper aims to improve the process of the cascade system for biomineralization in cement by identifying the best hydrodynamic conditions in a reaction cell in order to increase the useful life of concrete structures and, therefore, bring energy and environmental benefits. Two central composite rotatable designs were used to establish the positioning of the air inlet and outlet in the lateral or upper region of the geometry of the reaction cell. The geometries of the reaction cell were constructed in SOLIDWORKS®, and computational fluid dynamics was performed using the Flow Simulation tool of the same software. The results were submitted to statistical analysis. The best combination of meshes for the simulation was global mesh 4 and local mesh 5. The statistical analysis applied to gas velocity and pressure revealed that air flow rate was the factor with the greatest sensitivity, with R2 values up to 99.9%. The geometry with the air outlet and inlet in the lateral region was considered to be the best option.

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Prediction of extreme response of an innovative HSR integral bridge subjected to crosswind and high-speed train

Xu,

Dai,

Chen

et al. 2023

Applied Mathematical Modelling

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ESIMPLE, a new pressure–velocity coupling algorithm for built-environment CFD simulations

Cited by 11 publications

References 31 publications

Stochastic deconvolution of wall statistics in Reynolds‐averaged Navier–Stokes simulations based on one‐dimensional turbulence

Stochastic deconvolution of wall statistics in Reynolds‐averaged Navier–Stokes simulations based on one‐dimensional turbulence

Simulation Study of Hydrodynamic Conditions in Reaction Cell for Cement Biomineralization Using Factorial Design and Computational Fluid Dynamics: Prospects for Increased Useful Life of Concrete Structures and Energetic/Environmental Benefits

Prediction of extreme response of an innovative HSR integral bridge subjected to crosswind and high-speed train

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