Parametric Stochastic Analysis of a Piezoelectric Vibration Absorber Applied to Automotive Body Structure

Scinocca, Francisco; Nabarrete, Airton

doi:10.1007/s42417-019-00099-z

Cited by 9 publications

(4 citation statements)

References 24 publications

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“…In this way, the obtained results in the present research could serve as reference to use different approach to quantify uncertainties from the inherent variability of the Coffee plant. Uncertainty analysis using stochastic modeling with low computational cost could use the range parameters obtained here [29,33,34].…”

Section: Resultsmentioning

confidence: 99%

Dynamic Behavior of Coffee Branches: an Analysis Using the Finite Element Method

Melo Junior,

Santos,

Scinocca

et al. 2024

Braz. arch. biol. technol.

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The use of computational simulation techniques is an important tool for the coffee harvesting issues, particularly the finite element method. The method is widely used in the structural analysis of agricultural machinery, as well as in the analysis of the stresses and vibrations of coffee branches and peduncles during the harvesting process. The present study aimed to develop three-dimensional finite element models of the plagiotropic branches of the Catuaí Vermelho variety of Arabica coffee in different positions along the orthotropic branches of the plant; considering high-fidelity models. Additionally, by considering the branches' experimental properties (physical-mechanical), the natural frequencies and vibration modes of the branches were determined by means of computer simulations. First, the geometric properties of the coffee branches were obtained by means of two images taken using a professional camera to obtain the input data of the virtual simulation. For the mechanical properties, it was used a semi-analytical digital scale, to obtain the mass of the specimens. The modulus of elasticity was determined using a universal testing machine. The variability in the simulated natural frequencies could be identified, which was on the order of 30% for the first frequency, regardless of the position of the branch in the plant. These values were lower for the other frequencies. Linear regression fits showed a coefficient of determination, and correlation tests were used to verify the relationship between the values obtained numerically and experimentally, which were validated by using experimental data using the modal analysis techniques.

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Section: Resultsmentioning

confidence: 99%

Dynamic Behavior of Coffee Branches: an Analysis Using the Finite Element Method

Melo Junior,

Santos,

Scinocca

et al. 2024

Braz. arch. biol. technol.

Self Cite

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“…Furthermore, result in Table 4 and Table 5 shows that, even though both substructures are two nominally identical structures, manufactured in the same production system, have similarity in term of geometrical and material properties; however, dynamic structural analysis is important to identify the precise dynamic behaviour of the substructures. The dynamic behaviour of both substructures is expected to be similar, however, due to the stochastic nature that exists among the substructures, the responses, particularly natural frequencies of the substructures, is slightly different to each other [21] - [24]. After successfully developed an accurate predicted model for the substructures, the research works were continued to Stage 2.…”

Section: Resultsmentioning

confidence: 99%

Stochastic Model Updating of Bolt-Jointed Structure for Structural Dynamics Applications

Syah

Yunus

Rani

et al. 2021

IJAME

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Structural stiffness exerts from joint connections and contact interfaces are significantly affect the dynamic behaviour of the bolt-jointed structure. Randomness in the joint connections due to the manufacturing variability in the identical bolted joints and uncertainty in contact interfaces due to the assambled and reassambled of the joint structure make sets of the dynamic behaviour of the bolt-jointed structure always inconsistent. On this account, a stochastic analytical model needs to be developed for the bolt-jointed structure to be used for uncertain parameters quantification. Hence, this paper is intended to propose an accurate and efficient stochastic analytical modelling of bolt-jointed structure in predicting the dynamic behaviour of the structure due to the randomness in the joint connections and uncertainty in contact interfaces. The aim of the study was accomplished by investigating four different finite element (FE) models of bolt-jointed structure with different element connectors to represent the bolted joints connections, namely rigid element (RBE), beam element (CBEAM), and 2 types of spring elements namely CELAS and CBUSH. Stochastic modelling was conducted by coupled the appropriate FE models with Latin Hypercube Sampling (LHS) algorithm to provide variability sampling due to the randomness in the bolted joints. The experimental modal analysis was performed by reassembled and disassembled the bolted joints to extract the variability in the dynamic behaviour, and the results were compared with LHS using statistical characteristics. Stochastic model updating then was used to minimise the discrepancies between experimental result and predicted model. The result has shown that the CBUSH is the most appropriate connector to accurately predict the dynamic behaviour of the bolt-jointed structure under variability conditions using the stochastic model updating method.

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“…With the developed metamodels, the Monte Carlo Simulation was implemented considering the following uncertain parameters (Figure 2): ambient temperature, inflation pressure, load, vehicle speed, and friction coefficient. To develop the probabilistic models in the uncertain input parameters, the Principle of Maximum Entropy was used with the available information (Kapur, 1989;Piovan & Sampaio, 2015;Cursi & Sampaio, 2015;Scinocca & Nabarrete, 2020). The principle consists of maximizing the system entropy, as defined by Shannon (1948), using the available information.…”

Section: Monte Carlo Simulationmentioning

confidence: 99%

Metamodeling on uncertainty quantification in the behavior of the tire/road interaction of vehicles

Santos,

Scinocca,

Santos

2024

Acta Sci Technol

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In recent years, the automotive industry has been developing applied research to meet customer’s needs; considering safety, vehicle comfort and energetic efficiency. In particular, automotive tires have a prominent position in this research area, ensuring good vehicle handling, comfort and safety. In the vehicle dynamics performance, excellent gripping and reduced rolling resistance in the tires are crucial to maximize the energetic efficiency in a reliable way. However, to ensure such a level of reliability in vehicle operation, the inherent uncertainties of tires, as well as other factors subject to variability must be taken into account in the vehicle design. In this way, the present paper analyzes in detail the effect of variations in some parameters such as ambient temperature, ground conditions, vertical load, speed and tire inflation on the analysis of vehicle dynamics. A Metamodeling approach associated with the Monte Carlo Simulation was employed to develop the mathematical models to analyze the effect of uncertain parameters on the tire rolling resistance; traction, centripetal and lateral forces, using experimental data from the literature, in the longitudinal and lateral vehicle dynamics. Therefore, the present research brings as an innovation an integrated approach to the input parameters of the system with the rolling resistance through the developed metamodels. There was a substantial variability of up to 15% both up and down in the Maximum Traction Force of a vehicle in response to variations in the vehicle’s weight and the coefficient of tire rolling resistance. In contrast, the Lateral Force exhibited a greater variability, with a 25 downward and 10% upward variation associated with the weight and friction coefficient variability of the vehicle. Further investigations into the sensitivity analysis highlight the significant influence of the friction coefficient and temperature on the Traction Forces of the vehicle.

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Parametric Stochastic Analysis of a Piezoelectric Vibration Absorber Applied to Automotive Body Structure

Cited by 9 publications

References 24 publications

Dynamic Behavior of Coffee Branches: an Analysis Using the Finite Element Method

Dynamic Behavior of Coffee Branches: an Analysis Using the Finite Element Method

Stochastic Model Updating of Bolt-Jointed Structure for Structural Dynamics Applications

Metamodeling on uncertainty quantification in the behavior of the tire/road interaction of vehicles

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