Parametric Uncertainty and Random Excitation in Energy Harvesting Dynamic Vibration Absorber
01 Mar 2021-ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering (American Society of Mechanical Engineers Digital Collection)-Vol. 7, Iss: 1, pp 010905
TL;DR: In this article, an energy harvesting dynamic vibration absorber (EHDVA) is used to suppress undesirable vibrations in a host structure as well as to harvest electrical energy from vibrations using piezo-coated filters.
Abstract: An energy harvesting dynamic vibration absorber (EHDVA) is studied to suppress undesirable vibrations in a host structure as well as to harvest electrical energy from vibrations using piezo...
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TL;DR: A comprehensive review of the state-of-the-art progress of multistable vibration energy harvesters is provided in this article , where the authors present critical challenges, perspectives for future research directions about MEHs, and governing models and approximate analytic methods are introduced.
69 citations
TL;DR: In this article , the impact of uncertain input parameters on the electrical power generation of galloping-based piezoelectric energy harvester (GPEH) was analyzed by using Newmark beta numerical integration technique.
Abstract: This paper deals with the impact of uncertain input parameters on the electrical power generation of galloping-based piezoelectric energy harvester (GPEH). A distributed parameter model for the system is derived and solved by using Newmark beta numerical integration technique. Nonlinear systems tend to behave in a completely different manner in response to a slight change in input parameters. Due to the complex manufacturing process and various technical defects, randomness in system properties is inevitable. Owing to the presence of randomness within the system parameters, the actual power output differs from the expected one. Therefore, stochastic analysis is performed considering uncertainty in aerodynamic, mechanical, and electrical parameters. A polynomial neural network (PNN) based surrogate model is used to analyze the stochastic power output. A sensitivity analysis is conducted and highly influenced parameters to the electric power output are identified. The accuracy and adaptability of the PNN model are established by comparing the results with Monte Carlo simulation (MCS). Further, the stochastic analyses of power output are performed for various degrees of randomness and wind velocities. The obtained results showed that the influence of the electromechanical coefficient on power output is more compared to other parameters.
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TL;DR: In this article , a non-traditional vibration absorber is attached to a primary system that is subjected to random base excitation, and the authors investigate the tradeoff issue between vibration suppression and energy harvesting, and find that the existence of the optimum solutions depends on both the mass ratio and the primary damping ratio.
Abstract: This paper investigates the optimization of a non-traditional vibration absorber for simultaneous vibration suppression and energy harvesting. Unlike a traditional vibration absorber, the non-traditional vibration absorber has its damper connected between the absorber mass and the base. An electromagnetic energy harvester is used as a tunable absorber damper. This non-traditional vibration absorber is attached to a primary system that is subjected to random base excitation. An analytical study is conducted by assuming that the base excitation is white noise. In terms of vibration suppression, the objective of the optimization is to minimize the power dissipated by the primary damper and maximize the power dissipated by the absorber damper. It is found that when the primary system is undamped, the power dissipated by the absorber damper remains a constant that is related to the mass ratio. The higher the mass ratio, the higher the power dissipated. When the primary system is damped, the minimization of the power dissipated by the primary damping is equivalent to the maximization of the power dissipated by the absorber damper. The existence of the optimum solutions depends on both the mass ratio and the primary damping ratio. In terms of energy harvesting, the objective of optimization is to maximize the power harvested by the load resistor. It is found that for a given mass ratio and primary damping ratio, the optimum frequency tuning ratio required to maximize vibration suppression is slightly higher than that required to maximize the harvested power. The trade-off issue between vibration suppression and energy harvesting is investigated. An apparatus is developed to allow frequency tuning and damping tuning. Both the numerical simulation and experimental study with band-limited white noise validate the general trends revealed in the analytical study.
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TL;DR: In this article , the performance of a hybrid energy harvester with multiple electromagnetic generators under harmonic and random motions was investigated and a reduced-order model was derived for numerical analysis.
Abstract: This work studies the performance of a hybrid energy harvester with multiple electromagnetic generators under harmonic and random motions. A reduced order model is derived for numerical analysis. Experiments are conducted to validate the numerical results. Results show that the hybrid harvester with two electromagnetic subsystems can generate sufficient magnitude of power sustained over a large frequency region. Parametric studies are carried out and reported. The proposed harvester is capable of producing high voltage and high current simultaneously. Finally, a finite element model is developed for further analysis to find the optimal position and number of electromagnetic subsystems for enhanced power.
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Book•
06 Jan 2017TL;DR: In this article, the authors provide a coherent understanding of how harnessing the dynamics of bistable structures may enhance the technical fields of vibration control, energy harvesting, and sensing. But, their focus is on nonlinearity.
Abstract: This book formulates and consolidates a coherent understanding of how harnessing the dynamics of bistable structures may enhance the technical fields of vibration control, energy harvesting, and sensing. Theoretical rigor and practical experimental insights are provided in numerous case studies. The three fields have received significant research interest in recent years, particularly in regards to the advantageous exploitation of nonlinearities. Harnessing the dynamics of bistable structures--that is, systems with two configurations of static equilibria--is a popular subset of the recent efforts. This book provides a timely consolidation of the advancements that are relevant to a large body of active researchers and engineers in these areas of understanding and leveraging nonlinearities for engineering applications.
98 citations
TL;DR: In this paper, the non-linear dynamics of a two-degree-of-freedom vibration system with nonlinear damping and nonlinear spring is studied, and the analytic results show that the purposes of reducing amplitude and oscillation can be realized by adjusting properly the system parameters and considering the value of exciting frequency.
97 citations
TL;DR: In this paper, a review of the latest techniques for utilizing the piezoelectric materials in energy harvesters, sensors, and actuators for various building systems is presented.
Abstract: Piezoelectric materials are capable of transforming mechanical strain and vibration energy into electrical energy. This property allows opportunities for implementing renewable and sustainable energy through power harvesting and self-sustained smart sensing in buildings. As the most common construction material, plain cement paste lacks satisfactory piezoelectricity and is not efficient at harvesting the electrical energy from the ambient vibrations of a building system. In recent years, many techniques have been proposed and applied to improve the piezoelectric capacity of cement-based composite, namely admixture incorporation (e.g. lead zirconate titanate, barium zirconate titanate, carbon particles, and steel fibers) and physical treatments (e.g. thermal heating and electrical field application). The successful application of piezoelectric materials for sustainable building development not only relies on understanding the mechanism of the piezoelectric properties of various building components, but also the latest developments and implementations in the building industry. Therefore, this review systematically illustrates research efforts to develop new construction materials with high piezoelectricity and energy storage capacity. In addition, this article discusses the latest techniques for utilizing the piezoelectric materials in energy harvesters, sensors, and actuators for various building systems. With advanced methods for improving the cementitious piezoelectricity and applying the material piezoelectricity for different building functions, more renewable and sustainable building systems are anticipated.
96 citations
TL;DR: In this paper, the effect of parametric uncertainty in the mechanical system on the harvested power was investigated, and approximate explicit formulae for the optimal electrical parameters that maximize the mean harvested power were derived.
Abstract: The design and analysis of energy harvesting devices is becoming increasing important in recent years. Most of the literature has focused on the deterministic analysis of these systems and the problem of uncertain parameters has received less attention. Energy harvesting devices exhibit parametric uncertainty due to errors in measurement, errors in modelling and variability in the parameters during manufacture. This paper investigates the effect of parametric uncertainty in the mechanical system on the harvested power, and derives approximate explicit formulae for the optimal electrical parameters that maximize the mean harvested power. The maximum of the mean harvested power decreases with increasing uncertainty, and the optimal frequency at which the maximum mean power occurs shifts. The effect of the parameter variance on the optimal electrical time constant and optimal coupling coefficient are reported. Monte Carlo based simulation results are used to further analyse the system under parametric uncertainty.
96 citations