References of "Peters, Bernhard 50002840"
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See detailNumerical modelling of electrified particle layer formation on the surface of filtration fabric.
Peters, Bernhard UL; Dzuigys, A.

in Environmental Engineering (2001), 4

Detailed reference viewed: 26 (0 UL)
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See detailA principle approach to model furnace processes for waste incineration.
Peters, Bernhard UL; Müller, Ulrich UL; Krebs, L.

in Environ. Comb. Tech (2001), 2

Detailed reference viewed: 77 (0 UL)
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See detailSimulación Numérica de la Combustión en Lecho Estacionario
Peters, Bernhard UL

in Ingenieria Quimica -Madrid- (2000), 366

Detailed reference viewed: 40 (0 UL)
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See detailClassification of Combustion Regimes in a Packed Bed of Particles Based on the Relevant Time and Length Scales
Peters, Bernhard UL

in Combustion and Flame (1999), 116(1-2), 297-301

Detailed reference viewed: 51 (1 UL)
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See detailNumerical simulation of the motion and combustion of granular material.
Peters, Bernhard UL; Dziugys, Algis

in Industrial Heat Engineering (1999), 21

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See detailExperimente und Modellierung zur heterogenen und homogenen Verbrennung.
Peters, Bernhard UL; Krebs, L.

in FZKA-Bericht (1998), 6084

Detailed reference viewed: 49 (1 UL)
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See detailApplication de la Conception Objet Orienté à la Modélisation de l'Incinération de Déchets Municipaux
Peters, Bernhard UL

in Informatique pour l’Environnement ’97 (1997)

Detailed reference viewed: 55 (1 UL)
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See detailZur Modellierung der thermo-und fluiddynamischen Vorgänge bei der Festbettverbrennung.
Peters, Bernhard UL; Müller, Ulrich UL; Krebs, L.

in Kaleidoskop aus aktueller forschung und Entwicklung. (1997)

Detailed reference viewed: 52 (2 UL)
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See detailA mass conservative Kalman filter algorithm for thermo-computational fluid dynamics
Introini, Carolina; Baroli, Davide UL; Lorenzi, Stefano et al

in Materials (ISSN 1996-1944) (n.d.)

Computational fluid-dynamics (CFD) is of wide relevance in engineering and science, due to its capability of simulating the three-dimensional flow at various scales. However, the suitability of a given ... [more ▼]

Computational fluid-dynamics (CFD) is of wide relevance in engineering and science, due to its capability of simulating the three-dimensional flow at various scales. However, the suitability of a given model depends on the actual scenarios which are encountered in practice. This challenge of model suitability and calibration could be overcome by a dynamic integration of measured data into the simulation. This paradigm is known as data-driven assimilation (DDA). In this paper, the study is devoted to Kalman filtering, a Bayesian approach, applied to Reynolds-Averaged Navier-Stokes (RANS) equations for turbulent flow. The integration of the Kalman estimator into the PISO segregated scheme was recently investigated by (1). In this work, this approach is extended to the PIMPLE segregated method and to the ther- modynamic analysis of turbulent flow, with the addition of a sub-stepping procedure that ensures mass conservation at each time step and the com- patibility among the unknowns involved. The accuracy of the algorithm is verified with respect to the heated lid-driven cavity benchmark, incorporat- ing also temperature observations, comparing the augmented prediction of the Kalman filter with the CFD solution obtained on a very fine grid. [less ▲]

Detailed reference viewed: 43 (1 UL)