Robust Mode Analysis
نویسندگان
چکیده
In this paper, we introduce a model-free algorithm, robust mode analysis (RMA), to extract primary constituents in fluid or reacting flow directly from high-frequency, high-resolution experimental data. It is expected be particularly useful studying strongly driven flows, where nonlinearities can induce chaotic and irregular dynamics. The lack of precise governing equations the absence symmetries other simplifying constraints realistic configurations preclude derivation analytical solutions for these systems; presence structures over wide range scales handicaps finding their numerical solutions. Thus, need direct data reinforced. RMA predicated on assumption that are common multiple, nominally identical realizations an experiment. Their search relies identification dynamic modes experiments, commonality established via proximity eigenvalues eigenfunctions. Robust then constructed by combining at same rate. We illustrate using flows behind symmetric bluff body. Two constituents, whose signatures resemble von Karman vortex shedding, identified. shown how implemented extended decomposition interrogated with small number time-series. This approach may prove analyzing changes patterns engines propulsion systems equipped sturdy arrays pressure transducers thermocouples. Finally, high Reynolds jet suggests tests statistical characterizations turbulent best done non-robust components flow.
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ژورنال
عنوان ژورنال: Mathematics
سال: 2021
ISSN: ['2227-7390']
DOI: https://doi.org/10.3390/math9091057