Optimizing Secondary Source Location in Acoustic ANC Systems

Seyedin, Seyed Alireza; Abedi, M.H.

doi:10.1109/ictta.2006.1684689

Cited by 2 publications

(3 citation statements)

References 8 publications

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“…ey solve the problem of conflict with human's head using virtual sensor technology. Seyedin and Abedi [13] calculate sound propagation with complete reflection of sound waves from the walls by the FDTD method and estimate optimal amplitude to build the VSB system.…”

Section: Vsb System (Vsb-s)mentioning

confidence: 99%

Detection, Integration, and Optimization of Acoustic Field Simulation in the Closed Space

Meng

Lin

Liang

2021

Scientific Programming

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Noise pollution in the closed space such as railway carriage is an important problem because the noise pollution seriously affects comfort and health of people in the closed space. We propose the method to detection, integration, and optimization of acoustic field simulation in the closed space. First, we analyze the acoustic ﬁeld distribution in the virtual 3D close space. We use harmonic sound wave propagation in the closed space and present the distribution according to geometric analysis. Second, we introduce Delaunay triangulation and k-means clustering into visualization to form the quiet zone and show it in 3D perspective. Our method used acoustic simulation to develop the sound barrier system. The simulation results show that our method can improve the analysis of the noise problem in the closed space.

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Section: Vsb System (Vsb-s)mentioning

confidence: 99%

Detection, Integration, and Optimization of Acoustic Field Simulation in the Closed Space

Meng

Lin

Liang

2021

Scientific Programming

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“…The geometry of the second example has been taken from Reference [19]. For internal problems, the optimisation routine (in Reference [40]) has been constrained to avoid the secondary source going outside the domain along the iteration path.…”

Section: Numerical Examplesmentioning

confidence: 99%

“…Their numerical model was validated against laboratory results. Seyedin and Abedi [19] simulated the sound propagation in a room with reflecting surfaces and obtained the optimum locations of an anti-noise source, which is a monopole constrained at one of the four walls.…”

Section: Introductionmentioning

confidence: 99%

A BEM sensitivity formulation for three‐dimensional active noise control

Brancati

Aliabadi

Mallardo

2012

Numerical Meth Engineering

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Abstract. In this paper a novel Boundary Element (BE) formulation for sensitivity analysis of local active noise control in a three-dimensional field is presented. The formulation is based on the Helmholtz differential equation and it is valid for internal as well as for scattering wave propagation problems. The primary noise is attenuated within an enclosure, called control volume, by adding a control source modelled as an object with a vibrating surface. Both the optimum position of the control volume and the optimum location/orientation of the secondary source are determined by minimisation of a suitable cost function. The sensitivities are determined by implicit differentiation. A hierarchical adaptive cross approximation approach in conjunction with the GMRES solver is implemented to accelerate the convergence. Four numerical examples are presented to demonstrate accuracy and efficiency of the proposed formulations.

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Optimizing Secondary Source Location in Acoustic ANC Systems

Cited by 2 publications

References 8 publications

Detection, Integration, and Optimization of Acoustic Field Simulation in the Closed Space

Detection, Integration, and Optimization of Acoustic Field Simulation in the Closed Space

A BEM sensitivity formulation for three‐dimensional active noise control

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