Structural damping models for passive aeroelastic control

Eugeni, Marco; Saltari, Francesco; Mastroddi, Franco

doi:10.1016/j.ast.2021.107011

Cited by 13 publications

(3 citation statements)

References 37 publications

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“…A detailed review of the hysteresis properties of composites with a polymer matrix was carried out in [73], and an analysis of damping structures fabricated using modern additive technologies was carried out in [74]. Various models of structural damping and practical approaches to quantifying the energy dissipation of vibrations of structures equipped with dampers are presented in articles [75][76][77].…”

Section: Introductionmentioning

confidence: 99%

Analytical Model of Structural Damping in Friction Module of Shell Shock Absorber Connected to Spring

Shatskyi

Velychkovych

2023

Shock and Vibration

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Vibration processes play a significant role in the modern industry. In most cases, vibration reduces strength, reliability, and durability of industrial machines, mechanisms, and structures, as well as adversely affects the health of support staff. This study presents a new dry friction shell shock absorber design. The shock absorber contains two spring sections and a friction module with an open shell and an elastic filler; at the same time, the spring sections and the friction module work in parallel. The proposed device demonstrates good damping characteristics, capable of operating under high operating loads, and at the same time has compact transverse dimensions. With a nonmonotonic loading of such a shock absorber, due to the contact interaction of the filler with an open shell, part of the energy that is supplied to the system will be dissipated. In other words, in response to the action of an external nonmonotonic loading, the phenomenon of structural hysteresis occurs in the friction module of the shock absorber. To describe the deformation of the shock absorber, a mechanical and mathematical model of a shell with a cut along the generatrix, which is the main bearing link, has been developed. By means of the technique of quasistatic analysis of structural damping in nonmobile nonconservative shell systems with a deformable filler, the hysteresis loops of the presented shock absorber are analytically described. Using them, according to the known loading history, it is possible to predict the behavior of the considered nonconservative system at any time after the start of the loading process. At each stage of the cyclic loading, the distribution of stresses and relationships between the external loading and the piston displacement was studied. Inequalities are obtained for permissible loads under which the operation of the shock absorber is safe. Such shell shock absorbers are projected to be used in the mining, oil and gas, and construction industries.

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Section: Introductionmentioning

confidence: 99%

Analytical Model of Structural Damping in Friction Module of Shell Shock Absorber Connected to Spring

Shatskyi

Velychkovych

2023

Shock and Vibration

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“…[15,16]). As a consequence, vertical sloshing can not simply be described by means of linear viscoelastic models in which the loss of energy depends only on the oscillation frequency [17,18], such as fractional derivatives and finite states for the damping (see Ref. [19]).…”

Section: Introductionmentioning

confidence: 99%

Experimental Validation of Neural-Network-Based Nonlinear Reduced-Order Model for Vertical Sloshing

Pizzoli

Saltari

Coppotelli

et al. 2022

AIAA SCITECH 2022 Forum

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In this paper, a nonlinear reduced order model based on neural networks is introduced in order to model vertical sloshing for use in fluid-structure interaction simulations. A box partially filled with water, representative of a wing tank, is first tested to identify a neural network model and then attached to a cantilever beam to test the effectiveness of the neural network in predicting the sloshing forces when coupled with the structure. The experimental set-up is equipped with accelerometers and load cells at the interface between the tank and an electrodynamic shaker, which provides vertical acceleration to the tank. Accelerations and interface forces measured during the experimental tests are employed to identify a recurrent network able to return the vertical sloshing forces when the tank is set on vertical motion. The identified model is then experimentally tested and assessed by its integration on the tip of a cantilever beam. The free response of the experimental setup are compared with those obtained by simulating an equivalent virtual model in which the identified reduced-order model is integrated to account for the effects of vertical sloshing.

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“…[11,12]). As a consequence, this phenomenon can not simply be described by means of linear viscoelastic models in which the loss of energy depends only on the oscillation frequency [18,19], such as fractional derivatives and finite states for the damping (see Ref. [20]).…”

Section: Introductionmentioning

confidence: 99%

Neural-network-based reduced order modeling for nonlinear vertical sloshing with experimental validation

Pizzoli

Saltari

Coppotelli

et al. 2022

Preprint

Self Cite

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In this paper, a nonlinear reduced order model based on neural networks is introduced in order to model vertical sloshing in presence of Rayleigh-Taylor instability of the free surface for use in fluid-structure interaction simulations. A box partially filled with water, representative of a wing tank, is first set on vertical harmonic motion via a controlled electrodynamic shaker. Accelerometers and load cells at the interface between the tank and an electrodynamic shaker are employed to train a neural-network-based reduced order model for vertical sloshing. The model is then investigated for its capacity to consistently simulate the amount of dissipation associated with vertical sloshing under different fluid dynamics regimes. The identified tank is then experimentally attached at the free end of a cantilever beam to test the effectiveness of the neural network in predicting the sloshing forces when coupled with the overall structure. The experimental free response and random seismic excitation responses are then compared with that obtained by simulating an equivalent virtual model in which the identified nonlinear reduced-order model is integrated to account for the effects of violent vertical sloshing.

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Structural damping models for passive aeroelastic control

Cited by 13 publications

References 37 publications

Analytical Model of Structural Damping in Friction Module of Shell Shock Absorber Connected to Spring

Analytical Model of Structural Damping in Friction Module of Shell Shock Absorber Connected to Spring

Experimental Validation of Neural-Network-Based Nonlinear Reduced-Order Model for Vertical Sloshing

Neural-network-based reduced order modeling for nonlinear vertical sloshing with experimental validation

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