| dc.identifier.uri | http://hdl.handle.net/1951/59715 | |
| dc.identifier.uri | http://hdl.handle.net/11401/71285 | |
| dc.description.sponsorship | This work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degree. | en_US |
| dc.format | Monograph | |
| dc.format.medium | Electronic Resource | en_US |
| dc.language.iso | en_US | |
| dc.publisher | The Graduate School, Stony Brook University: Stony Brook, NY. | |
| dc.type | Dissertation | |
| dcterms.abstract | We study the
Rayleigh-Taylor mixing layer, presenting on simulations in agreement with experimental data. This problem is an
idealized subproblem of important scientific and engineering problems, for example the gravitationally induced mixing
in oceanography and performance assessment for inertial confinement fusion. Engineering codes commonly achieve
correct simulations through the calibration of adjustable parameters. In this sense, they are interpolative and not
predictive. As computational science moves from the interpolative to the predictive and reduces the reliance on
experiment the quality of decision making improves. The diagnosis of errors in a multiparameter, multiphysics setting
is daunting, so we address this issue in the proposed idealized setting. The validation tests presented are then a
test for engineering codes, when used for complex problems containing Rayleigh-Taylor features. The Rayleigh-Taylor
growth rate, characterized by a dimensionless but non-universal parameter and alpha, describes the outer edge of the
mixing zone. Increasingly accurate Front Tracking/LES simulations reveal non-universality of the growth rate and
agreement with experimental data. Increased mesh resolution allows reduction in the role of key subgrid models. We
study the effect of long wavelength perturbations on the mixing growth rate. A self-similar power law for the initial
perturbation amplitudes is here inferred from experimental data. We show a maximum ±5 % effect on the
growth
rate. Large (factors of 2) effects, as predicted in some models and many simulations, are inconsistent with
experimental data of Youngs and co-authors. The inconsistency of the model lies in the treatment of the dynamics of
the bubbles, which are the shortest wavelength modes for this problem. An alternate theory for this shortest
wavelength, based on the bubble merger model, was previously shown to be consistent with experimental data. Turbulent
mixing at the molecular level and turbulent combustion are remaining challenges for turbulent mixing studies.
Theoretical studies suggest that convergence of numerical solutions, considered within an LES regime, is to a space
time dependent probability distributions (Young measures). This point of view is proposed for the study of
micro-observables, which describe the molecular mixing rate. New results comparing our simulations to experimentally
observed molecular mixing rates are reported. | |
| dcterms.available | 2013-05-22T17:34:52Z | |
| dcterms.available | 2015-04-24T14:46:53Z | |
| dcterms.contributor | Glimm, James | en_US |
| dcterms.contributor | Samulyak, | en_US |
| dcterms.creator | Kaman, Tulin | |
| dcterms.dateAccepted | 2013-05-22T17:34:52Z | |
| dcterms.dateAccepted | 2015-04-24T14:46:53Z | |
| dcterms.dateSubmitted | 2013-05-22T17:34:52Z | |
| dcterms.dateSubmitted | 2015-04-24T14:46:53Z | |
| dcterms.description | Department
of Applied Mathematics and Statistics | en_US |
| dcterms.extent | 86 pg. | en_US |
| dcterms.format | Monograph | |
| dcterms.format | Application/PDF | en_US |
| dcterms.identifier | Kaman_grad.sunysb_0771E_11079 | en_US |
| dcterms.identifier | http://hdl.handle.net/1951/59715 | |
| dcterms.identifier | http://hdl.handle.net/11401/71285 | |
| dcterms.issued | 2012-08-01 | |
| dcterms.language | en_US | |
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Kaman_grad.sunysb_0771E_11079.pdf: 1319162 bytes, checksum: 4cb369003ffbd988c21c5dc82b363d3b (MD5)
Previous issue date: 1 | en |
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Previous issue date: 1 | en |
| dcterms.publisher | The Graduate School, Stony Brook University: Stony Brook, NY. | |
| dcterms.subject | Applied
mathematics | |
| dcterms.subject | Front Tracking, Large Eddy Simulation, Subgrid Scale Model, Turbulent Mixing,
Uncertainty Quantification | |
| dcterms.title | Rayleigh-Taylor Turbulent Mixing
Simulations | |
| dcterms.type | Dissertation | |
