2016
DOI: 10.3813/aaa.918997
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Linear State Space Interconnect Modeling of Acoustic Systems

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Cited by 53 publications
(17 citation statements)
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“…Experimentally, instabilities have been observed for nearly anechoic conditions at the upstream inlet, with frequencies in good agreement with the theoretical predictions for ITA modes (Hoeijmakers et al 2016). In addition, Emmert et al (2016) showed that a stable system can be driven into instability, if excited at intrinsic frequencies. The work by Hosseini et al (2018) shows that, as the parameters of the system are changed, there is significant interplay between the ITA and the acoustic modes; in particular, they identify a coupling mechanism that causes ITA modes "attach and detach" from their acoustic counterparts.…”
Section: Introductionsupporting
confidence: 76%
“…Experimentally, instabilities have been observed for nearly anechoic conditions at the upstream inlet, with frequencies in good agreement with the theoretical predictions for ITA modes (Hoeijmakers et al 2016). In addition, Emmert et al (2016) showed that a stable system can be driven into instability, if excited at intrinsic frequencies. The work by Hosseini et al (2018) shows that, as the parameters of the system are changed, there is significant interplay between the ITA and the acoustic modes; in particular, they identify a coupling mechanism that causes ITA modes "attach and detach" from their acoustic counterparts.…”
Section: Introductionsupporting
confidence: 76%
“…• A linear eigenproblem is a subset of NEPs with N = A−σL, where A and L may be complex matrices. Some thermoacoustic systems, however, may be governed by linear eigenproblems (e.g., in state space models [243][244][245] or with time-delayed equations that are linearized in τ [42,153]); • The spectrum of an NEP is discrete, i.e. it does not have accumulation points.…”
Section: Features Of Nonlinear Eigenproblemsmentioning
confidence: 99%
“…For example, Sayadi et al [40] made use of a finite difference scheme to build a dynamical system representation of a one-dimensional thermoacoustic system comprising a volumetric heat source localized within the domain. A more generic direct discretization LOM is the taX Low-Order Model developed at Technical University of Munich [41] . Its modularity lies in the ability to combine in a same thermoacoustic network one-dimensional elements discretized by finite difference, geometrically complex elements discretized through FEM, and other types of elements such as FTFs and scattering matrices.…”
Section: The First Class Of Lom Is a Wave-based 1d Network Approachmentioning
confidence: 99%
“…An elegant formulation to connect subdomains is to use a state-space approach. This method, already used in [32][33][34]41] , is adopted in this work but requires to be adapted. Some implementation details are given below; further developments relative to state-space representations can be found in control theory textbooks [46] .…”
Section: State-space Formalism For Subsystems Couplingmentioning
confidence: 99%
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