KEYWORDS: Acoustics, Sensors, Composites, Source localization, Numerical simulations, Signal to noise ratio, Signal processing, Time metrology, Physics, Materials properties
Acoustic source localization techniques for composite laminates are challenging for anisotropic materials. In this paper, an improved signal energy-based acoustic source localization technique without a priori knowledge of the principal axes orientations is proposed. The proposed technique has the advantages of no need to measure arrival time and does not need complex signal processing techniques. It can also be applied in the case of low signal-to-noise ratio. Finite element models of carbon fiber laminate with different stacking sequences are created to verify the proposed technique. The results of the numerical simulation demonstrate the feasibility of the proposed technique.
Traditional single acoustic source localization techniques often become challenging when multiple acoustic sources are present on spherical structures. Here, a localization technique for multiple acoustic sources is proposed using the time difference of arrival without knowing the acoustic wave speed in the material. The proposed technique does not require solving a system of nonlinear equations; hence, greatly reduces the complexity of calculation. The method to remove the artifacts is given. A finite element model of a spherical surface was created to verify the proposed acoustic source localization technique. The results of numerical simulation prove the reliability of the proposed technique.
The purpose of health monitoring of building materials is to localize the defect during its formation to give early warnings for avoiding catastrophic failures. Here, an acoustic source localization technique for building materials is proposed using the time difference of arrival at six sensors without knowing the acoustic wave speed in the material. The proposed technique does not require solving a system of nonlinear equations; hence, greatly reduces the complexity of calculation. Finite element models of different building materials were created to verify the proposed defect localization technique. The results of numerical simulation prove the reliability of the proposed technique.
Acoustic source localization (ASL) on a thin isotropic spherical shell is more challenging than that for two-dimensional flat plate structures. Here, a localization technique for isotropic spherical shell is proposed based on the triangular time difference using only four sensors without knowing the acoustic wave speed in the material. The proposed technique does not require solving a system of nonlinear equations, thus it greatly reduces the complexity of calculation. A finite element model of a thin isotropic spherical shell was created to verify the proposed acoustic source localization technique. The results of numerical simulation prove the reliability of the proposed technique.
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