Research on vibration damping model of flat-head tower crane system based on particle damping vibration absorber

Tong, Zhixue; Wu, Wenlong; Guo, Baoliang; Zhang, Jinhua; He, Yumin

doi:10.1007/s40430-023-04496-0

J Braz. Soc. Mech. Sci. Eng.

2023

DOI: 10.1007/s40430-023-04496-0

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Research on vibration damping model of flat-head tower crane system based on particle damping vibration absorber

Zhixue Tong,

Wenlong Wu,

Baoliang Guo

et al.

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Cited by 3 publications

References 27 publications

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Output-constrained control of beam-swing dynamics of tower cranes with elastic jibs

Gao

2024

Journal of Vibration and Control

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Tower crane jibs are prone to vibration due to their lightweight structure. The complex dynamics of coupled vibrations pose significant challenges in designing effective damping control systems. This study addresses the vibration suppression problem for a nonlinear tower crane model with a flexible jib undergoing slewing motion. We derive the fully coupled differential equation for the crane system by utilizing Euler–Bernoulli beam theory and Lagrange’s equations. The effect of the parameters on the vibration characteristics is analyzed and verified by experiments. Furthermore, we propose a novel boundary control method to suppress distributed deformation as the jib approaches the desired angle. Applying the Barrier Lyapunov Function (BLF) can keep the output states within the designed range. Finally, we conduct numerical simulations to verify the effectiveness of the designed control strategy.

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Output-constrained control of beam-swing dynamics of tower cranes with elastic jibs

Gao

2024

Journal of Vibration and Control

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Vibration Normal Modes of a Jib Crane Modeled as an Euler–Bernoulli boom using FEM

Caporali

2023

IJBSAC

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In this paper, it was developed a method for determining the Vibration Normal Modes of a Jib Crane. A Finite Element Method modeling the Jib Crane as an Euler-Bernoulli boom has been used. We made the approximation of dividing the Boom into a limited number of elements, characterizing the weight distribution on the boom itself. This allowed us to obtain an analytical solution to the problem. The Jib Mass and Stiffness Matrices were calculated. Finally, the first natural frequencies are obtained as well as the first corresponding eigenvectors. From these results, we can derive the behavior of the structural dynamics of the Crane. This is particularly important for large tower cranes that show high structural dynamics, since this approach allows to reduce the vibrations of the crane structure. The advantage of this method is given by the fact that the set of eigen-frequencies can be recalculated using a supervisor Pc. This Pc sends the data of the same eigen-frequencies in real-time to the PLC that controls the crane according to the variable position of the trolley and payload on the Jib.

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Design optimization of vibration amplitude reduction based on virtual prototype and machine learning

Bao,

Tao,

Yang

et al. 2024

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The traditional design optimization of vibration amplitude reduction mainly has the disadvantages of low modeling and prediction accuracy as well as low optimization efficiency. Therefore, this paper presents a design optimization method for vibration amplitude reduction based on virtual prototyping and machine learning, which combines the high accuracy of numerical calculations with the efficiency of machine learning, overcoming the shortcomings of traditional methods. Firstly, sample points are collected through the design of experiments and virtual prototype simulation. Then, based on the sampled data, a prediction model for the relationship between the design parameters and the amplitude of the product is established using Genetic Algorithm-Support Vector Regression (GA-SVR). On the basis of the GA-SVR prediction model, a multi-objective optimization model of product is established, and Multiple Objectives Particle Swarm Optimization -entropy weight- Technique for Order Preference by Similarity to Ideal Solution (MOPSO-entropy weight-TOPSIS) is used to solve for the optimal design parameters. Finally, the washing machine suspension system is used as an example to verify the effectiveness of the model. The results show that, compared with the original design scheme, the design scheme obtained by the model can reduce the amplitude of the washing machine suspension system by 12.68%, and reduce the total weight of the counterweight by 7.35%. This method is conducive to the intelligent and efficient design optimization of vibration amplitude reduction, and is of great significance to product life cycle design.

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Research on vibration damping model of flat-head tower crane system based on particle damping vibration absorber

Cited by 3 publications

References 27 publications

Output-constrained control of beam-swing dynamics of tower cranes with elastic jibs

Output-constrained control of beam-swing dynamics of tower cranes with elastic jibs

Vibration Normal Modes of a Jib Crane Modeled as an Euler–Bernoulli boom using FEM

Design optimization of vibration amplitude reduction based on virtual prototype and machine learning

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