FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387527103> ?p ?o ?g. }

• W4387527103 endingPage "110780" @default.
• W4387527103 startingPage "110780" @default.
• W4387527103 abstract "The in situ absorption characteristics of sound-absorbing samples are generally estimated inversely from sound field measurements above the sample’s surface. However, the entire measurement process is subject to numerous sources of uncertainty, which cannot be accounted for using deterministic inference methods. This paper introduces a Bayesian framework, including sequential frequency transfer to infer point estimates and uncertainty ranges of the frequency-dependent surface admittance, the corresponding sound absorption coefficient and the associated measurement and model uncertainty. The inference is conducted in two phases: in the initial phase, the absorption characteristics and the measurement and model uncertainty at a predefined initial frequency are inferred based on a weakly informative prior. Extensive prior predictive checks are conducted to find the best trade-off between a weak level of informativeness of the prior and physically meaningful predictions of the sound field above the absorber. In the sequential phase, the posterior mean at an analyzed frequency serves as the prior mean at the subsequent frequency. The framework is applied to simulated as well as real free-field measurements of the specific impedance above two different rock wool samples. The measurements are conducted with a combined pressure-particle velocity probe and the samples are assumed to exhibit local reaction behavior. For the investigated samples, a minimum number of four individual measurements of the specific impedance already allows for an accurate estimation of the frequency-dependent absorption characteristics and the associated measurement and model uncertainty, particularly for frequencies above 600 Hz. Due to the proposed sequential frequency transfer, the computational effort of the sampling-based Bayesian inference at a discrete frequency is significantly reduced. This paves the way for efficient inference of frequency-dependent model parameters while overcoming the curse of dimensionality associated with the inference of stochastic processes. The proposed framework lays the foundation for accurate and efficient inference of frequency-dependent parameters in models beyond the field of acoustics." @default.
• W4387527103 created "2023-10-12" @default.
• W4387527103 creator A5006889302 @default.
• W4387527103 creator A5014399890 @default.
• W4387527103 creator A5034254499 @default.
• W4387527103 creator A5085886230 @default.
• W4387527103 creator A5093042141 @default.
• W4387527103 date "2023-12-01" @default.
• W4387527103 modified "2023-10-12" @default.
• W4387527103 title "Free-field characterization of locally reacting sound absorbers using Bayesian inference with sequential frequency transfer" @default.
• W4387527103 cites W1536497620 @default.
• W4387527103 cites W1695787890 @default.
• W4387527103 cites W1977668537 @default.
• W4387527103 cites W1982775291 @default.
• W4387527103 cites W1985414898 @default.
• W4387527103 cites W1987804397 @default.
• W4387527103 cites W1991561430 @default.
• W4387527103 cites W1999089227 @default.
• W4387527103 cites W2000518247 @default.
• W4387527103 cites W2004033541 @default.
• W4387527103 cites W2016337011 @default.
• W4387527103 cites W2025869216 @default.
• W4387527103 cites W2035091842 @default.
• W4387527103 cites W2036602632 @default.
• W4387527103 cites W2040307844 @default.
• W4387527103 cites W2047932826 @default.
• W4387527103 cites W2049871840 @default.
• W4387527103 cites W2051952069 @default.
• W4387527103 cites W2060593249 @default.
• W4387527103 cites W2060672385 @default.
• W4387527103 cites W2062640633 @default.
• W4387527103 cites W2065335711 @default.
• W4387527103 cites W2065656021 @default.
• W4387527103 cites W2069898262 @default.
• W4387527103 cites W2078477354 @default.
• W4387527103 cites W2096229440 @default.
• W4387527103 cites W2102186555 @default.
• W4387527103 cites W2127411941 @default.
• W4387527103 cites W2128415525 @default.
• W4387527103 cites W2231169722 @default.
• W4387527103 cites W2326312703 @default.
• W4387527103 cites W2327451536 @default.
• W4387527103 cites W2409860581 @default.
• W4387527103 cites W2509073545 @default.
• W4387527103 cites W2596306901 @default.
• W4387527103 cites W2621654091 @default.
• W4387527103 cites W2625086288 @default.
• W4387527103 cites W2766833299 @default.
• W4387527103 cites W2810737607 @default.
• W4387527103 cites W2893862453 @default.
• W4387527103 cites W2906705732 @default.
• W4387527103 cites W292471705 @default.
• W4387527103 cites W2949737834 @default.
• W4387527103 cites W2965499230 @default.
• W4387527103 cites W2974698947 @default.
• W4387527103 cites W2998671136 @default.
• W4387527103 cites W3005988818 @default.
• W4387527103 cites W3082323639 @default.
• W4387527103 cites W3104112700 @default.
• W4387527103 cites W3127853565 @default.
• W4387527103 cites W3201638556 @default.
• W4387527103 cites W3201902915 @default.
• W4387527103 cites W3202179328 @default.
• W4387527103 cites W3214114954 @default.
• W4387527103 cites W32980360 @default.
• W4387527103 cites W4200420711 @default.
• W4387527103 doi "https://doi.org/10.1016/j.ymssp.2023.110780" @default.
• W4387527103 hasPublicationYear "2023" @default.
• W4387527103 type Work @default.
• W4387527103 citedByCount "0" @default.
• W4387527103 crossrefType "journal-article" @default.
• W4387527103 hasAuthorship W4387527103A5006889302 @default.
• W4387527103 hasAuthorship W4387527103A5014399890 @default.
• W4387527103 hasAuthorship W4387527103A5034254499 @default.
• W4387527103 hasAuthorship W4387527103A5085886230 @default.
• W4387527103 hasAuthorship W4387527103A5093042141 @default.
• W4387527103 hasConcept C105795698 @default.
• W4387527103 hasConcept C107673813 @default.
• W4387527103 hasConcept C108811297 @default.
• W4387527103 hasConcept C119599485 @default.
• W4387527103 hasConcept C121332964 @default.
• W4387527103 hasConcept C125287762 @default.
• W4387527103 hasConcept C127413603 @default.
• W4387527103 hasConcept C160234255 @default.
• W4387527103 hasConcept C17829176 @default.
• W4387527103 hasConcept C24890656 @default.
• W4387527103 hasConcept C33923547 @default.
• W4387527103 hasConcept C41008148 @default.
• W4387527103 hasConcept C44280652 @default.
• W4387527103 hasConcept C62520636 @default.
• W4387527103 hasConcept C68115822 @default.
• W4387527103 hasConcept C81299745 @default.
• W4387527103 hasConcept C8590192 @default.
• W4387527103 hasConceptScore W4387527103C105795698 @default.
• W4387527103 hasConceptScore W4387527103C107673813 @default.
• W4387527103 hasConceptScore W4387527103C108811297 @default.
• W4387527103 hasConceptScore W4387527103C119599485 @default.
• W4387527103 hasConceptScore W4387527103C121332964 @default.

• next