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Journal Articles
Accepted Manuscript
Journal:
Journal of Vibration and Acoustics
Article Type: Technical Briefs
J. Vib. Acoust.
Paper No: VIB-20-1006
Published Online: April 10, 2021
Abstract
We numerically investigate the bandwidth and collimation characteristics of ultrasound beams generated by a simple collimated ultrasound beam source that consists of a piezoelectric disk operated near its radial mode resonances. We simulate the ultrasound beam generated in a fluid medium as a function of the excitation frequency for two cases: 1) free piezoelectric disk that corresponds to zero-traction along the lateral edge, and 2) fixed piezoelectric disk that corresponds to zero-displacement along the lateral edge. We present and discuss the physical mechanism underpinning the frequency-dependent collimation and bandwidth properties of the ultrasound beams. We observe that the collimated beam generated by the free disk repeatedly lengthens/shortens and also extends/retracts sidelobes with increasing frequency. Alternatively, fixing the piezoelectric disk results in a consistent beam profile shape across a broad range of frequencies. This facilitates generating broadband signals such as a Gaussian pulse or chirp, which are common in ultrasound imaging. Thus, the fixed piezoelectric disk finds application as a collimated ultrasound beam source in a wide range of applications including medical ultrasound imaging, scanning acoustic microscopy, sonar detection, and other nondestructive ultrasound inspection techniques.
Journal Articles
Accepted Manuscript
Journal:
Journal of Vibration and Acoustics
Article Type: Research Papers
J. Vib. Acoust.
Paper No: VIB-20-1492
Published Online: April 10, 2021
Abstract
This study directly addresses the problem of optimal control of a structure under the action of moving masses. The main objective of the study is to experimentally implement and validate an active control solution for a small-scale test stand. The supporting structure is modeled as an Euler-Bernoulli simply supported beam, acted upon by moving masses of different weights and velocities. The experimental implementation of the active controller poses a particular set of challenges as compared to the numerical solutions. It is shown both numerically and experimentally that using electromagnetic actuation, a reduced order controller designed using a time-varying algorithm provides a reduction of the maximum deflection up to 18% as compared to the uncontrolled structure. The controller performance and robustness were tested against a representative set of possible moving load parameters. In consequence of the variations in moving mass weight and speed the controller gain requires a supplementary adaptation. A simple algorithm that schedules the gain as a function of the weight and speed of the moving mass can achieve both a good performance and an adjustment of the control effort to the specific design requirements.
Journal Articles
Accepted Manuscript
Journal:
Journal of Vibration and Acoustics
Article Type: Research Papers
J. Vib. Acoust.
Paper No: VIB-20-1559
Published Online: April 7, 2021
Abstract
In this paper, free and forced vibrations of a transversely vibrating Timoshenko beam/frame carrying a discrete two-degree-of-freedom spring-mass system are analyzed using the wave vibration approach, in which vibrations are described as waves that propagate along uniform structural elements and are reflected and transmitted at structural discontinuities. From the wave vibration standpoint, external excitations applied to a structure have the effect of injecting vibration waves to the structure. In the combined beam/frame and two-degree-of-freedom spring-mass system, the vibrating discrete spring-mass system injects waves into the distributed beam/frame through the spring forces at the two spring attached points. Assembling the propagation, reflection, transmission, and external force injected wave relations in the beam/frame provides an analytical solution to vibrations of the combined system. In this study, the effects of rotary inertia and shear deformation on bending vibrations are taken into account, which is important when the combined structure involves short beam element or when higher frequency modes are of interest. Numerical examples are given, with comparisons to available results based on classical vibration theories. The wave vibration approach is seen to provide a systematic and concise solution to both free and forced vibration problems in hybrid distributed and discrete systems.
Journal Articles
Accepted Manuscript
Journal:
Journal of Vibration and Acoustics
Article Type: Research Papers
J. Vib. Acoust.
Paper No: VIB-20-1612
Published Online: April 7, 2021
Abstract
This paper investigates the flexural wave propagation through elastically coupled metabeams. It is assumed that the metabeam is formed by connecting successive beams with each other using distributed elastic springs. The equations of motion of a representative unit of the above mentioned novel structural form is established by dividing it into three constitutive components that are two side beams, modeled employing Euler-Bernoulli beam equation and an elastically coupled articulated distributed spring connection (ECADSC) at middle. ECADSC is modeled as parallel double beams connected by distributed springs. The underlying mechanics of this system in context of elastic wave propagation is unique when compared with the existing state of art in which local resonators, inertial amplifiers etc. are attached to the beam to widen the attenuation bandwidth. The dynamic stiffness matrix is employed in conjunction with Bloch-Floquet theorem to derive the band-structure of the system. It is identified that the coupling coefficient of the distributed spring layer and length ratio between the side beams and the elastic coupling plays the key role in the wave attenuation. It has been perceived that a considerable widening of the attenuation band gap in the low-frequency can be achieved while the elastically distributed springs are weak and distributed in a small stretch. Specifically, 140% normalized band gap can be obtained only by tuning the stiffness and the length ratio without adding any added masses or resonators to the structure.
Image
Published Online: April 2, 2021
Fig. 1 Representation of the stabilization device placed above the primary system Representation of the stabilization device placed above the primary system More
Image
Published Online: April 2, 2021
Fig. 2 Coordinate systems after successive rotations in γ , β , and α Coordinate systems after successive rotations in γ, β, and α More
Image
Published Online: April 2, 2021
Fig. 3 Lateral view of the system ( P i ¯ Q i = h , G P ¯ O c = L 1 , and G D ¯ G P = L 2 ) Lateral view of the system (Pi Qi = h, GP Oc = L1, and GD GP = L 2) More
Image
Published Online: April 2, 2021
Fig. 4 Three-dimensional configuration for γ > 0 , β > 0 , α > 0, θ z > 0 , θ y > 0 , and θ x > 0 . Middle cross sections are indicated in gray. Representation of angles describing the position of con... More
Image
Published Online: April 2, 2021
Fig. 5 Eigenvalue characteristics according to the frequency ratio for ɛ P = 0.1 Eigenvalue characteristics according to the frequency ratio for ɛP = 0.1 More
Image
Published Online: April 2, 2021
Fig. 6 Physical representations of modes 1 and 2 for ɛ P > 0 (“in-phase wobbling”): ( a ) mode 1 and ( b ) mode 2 Physical representations of modes 1 and 2 for ɛP > 0 (“in-phase wobbling”): (a) mode 1 and (b) mode 2 More
Image
Published Online: April 2, 2021
Fig. 7 Modes 1 and 2—amplitudes and phases according to the frequency ratio Modes 1 and 2—amplitudes and phases according to the frequency ratio More
Image
Published Online: April 2, 2021
Fig. 8 Modes 3 and 4—amplitudes and phases according to the frequency ratio Modes 3 and 4—amplitudes and phases according to the frequency ratio More
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Published Online: April 2, 2021
Fig. 9 Physical representations of modes 3 and 4 for ɛ P > 0 (“out-of-phase wobbling”): ( a ) mode 3 and ( b ) mode 4 Physical representations of modes 3 and 4 for ɛP > 0 (“out-of-phase wobbling”): (a) mode 3 and (b) mode 4 More
Image
Published Online: April 2, 2021
Fig. 10 MAC [ 64 ] values according to the frequency ratio for** η = 1 , ξ P = ξ D = 0 , and ρ P = ρ D = 0 MAC [64] values according to the frequency ratio for** η=1, and ρP = ρD = 0 More
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Published Online: April 2, 2021
Fig. 11 Stability plots for ɛ P = 0.1 and η = 0.5 , 1 , 1.5 , and 2 . Solid gray regions indicate unstable conditions. Stability plots for ɛP = 0.1 and η = 0.5, 1, 1.5, and 2. Solid gray regions indicate unstable conditions. More
Image
Published Online: April 2, 2021
Fig. 12 Section of the stability plot from Fig. 11( b ) for r I = 0.3. Gray regions indicate unstable conditions. Section of the stability plot from Fig. 11(b) for rI = 0.3. Gray regions indicate unstable conditions. More
Image
Published Online: April 2, 2021
Fig. 13 Eigenvalue characteristics and stability according to the frequency ratio for ɛ P = 0.1, r I = 0.3, ξ D = 0.2 , and η = 1 Eigenvalue characteristics and stability according to the frequency ratio for ɛP = 0.1, rI = 0.3, ξ D = 0.2, and η = 1 More
Image
Published Online: April 2, 2021
Fig. 14 Eigenvalue characteristics and stability according to the frequency ratio for ɛ P = 0.1, r I = 0.3, ξ D = 1 , and η = 1 Eigenvalue characteristics and stability according to the frequency ratio for ɛP = 0.1, rI = 0.3, ξ D = 1, and η = 1 More
Image
Published Online: April 2, 2021
Fig. 15 Eigenvalue characteristics and stability according to the frequency ratio for ɛ P = 0.1, r I = 0.3, ξ D = 1.5 , and η = 1 Eigenvalue characteristics and stability according to the frequency ratio for ɛP = 0.1, rI = 0.3, ξD=1.5, and η=1 More
Image
Published Online: April 2, 2021
Fig. 16 Eigenvalue characteristics and stability according to the frequency ratio for ɛ P = 0.1, r I = 0.3, ξ D = 1 , and η = 2 Eigenvalue characteristics and stability according to the frequency ratio for ɛP = 0.1, rI = 0.3, ξD=1, and η=2 More