Genetic optimization of vibrating stiffened plates

Marcelin, Jean-Luc

doi:10.12989/sem.2006.24.5.529

Cited by 5 publications

(2 citation statements)

References 11 publications

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“…Evolutionary algorithms provide the additional advantage of working without derivatives (useful for the fitting of non-smooth functions) and being easily adapted to multi-objective problems. These techniques are especially useful when combined with reduced models, which allow for a fast evaluation of each individual (or parametrized) case [19].…”

Section: Introductionmentioning

confidence: 99%

Optimization of the Auxiliary-Beam System in Railway Bridge Vibration Mitigation Using FEM Simulation and Genetic Algorithms

Baldonedo¹,

López-Campos²,

López³

et al. 2019

Symmetry

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In this paper, we present the optimization of a vibration mitigation system for railway bridges. These structures are subjected to significant moving loads, whose dynamic characteristics may produce resonance effects, compromising the integrity of the bridge and the security of the passengers if the speed or the load of the train is not controlled. The study focuses on the Auxiliary Beam system. It consists of a beam located under the bridge and connected to the slab by viscous dampers. The symmetry of the problem allowed for the use of a 2D Finite Element model of the system. This model was used together with a genetic algorithm in order to evaluate the behaviour of different candidates and to optimize the design parameters: the inertia of the beam and the damper coefficient. The goal of the optimization process is to minimize the acceleration of the bridge while adding the lightest mitigation system possible. The combination of a Finite Element Model and Genetic Algorithm helps to address the complex problem and to find an optimized set of structural parameters. The system finally shows good behaviour for optimal parameters. The Tuned Mass Damper (TMD) system is probably the most studied method for vibrational response reduction in bridges and buildings. Its popularity is due to its simplicity and cost-efficient implementation [8][9][10][11][12]. However, TMD systems are designed and tuned to a specific frequency value-typically, the first flexural mode of the structure. This may cause problems, since the added mass of different trains to the main structure modifies its natural frequencies.An alternative method for bridges is the Auxiliary Beam (AB) or double beam system [13][14][15][16]]. The AB system consists of an extra beam installed under the bridge deck, being both connected by a viscous damper; see Figure 1. The viscous damper of the system will dissipate part of the energy generated by the moving loads, reducing both the vertical acceleration and the displacement of the bridge. The tuning problem of TMDs is now avoided, since the viscous damper is capable of working properly in a wider range of frequencies. Also, this system is particularly interesting for the retrofitting of existing infrastructures, since it can be installed while the bridge is in use.

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Section: Introductionmentioning

confidence: 99%

Optimization of the Auxiliary-Beam System in Railway Bridge Vibration Mitigation Using FEM Simulation and Genetic Algorithms

Baldonedo¹,

López-Campos²,

López³

et al. 2019

Symmetry

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“…In the literature vibro-acoustic optimization of plates (Du and Olhoff, 2007) or of more complex structures such as loudspeakers (Wein et al, 2009) has been approached using the SIMP method with good results. Some approaches focused on optimal stiffener distributions by genetic algorithms have been developed for plates (Marcelin, 2006) or cylindrical shells (Mehrabani et al, 2012). Multi-objective dynamic topology optimization of a truss with uncertain parameters has been performed by Xu and Jin (2012) using a method based on genetic algorithms, extended by Xu (2012) to integrate optimization of structural topology and control for piezoelectric smart trusses.…”

Section: Introductionmentioning

confidence: 99%

Vibration reduction using biologically inspired topology optimization method: optimal stiffeners distribution on an acoustically excited plate

Sabbatini

Revel

Kobayashi

2013

Journal of Vibration and Control

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This paper presents the development of a biologically inspired method for topology optimization and its application to a vibration suppression problem. The proposed method is based on modeling the structure topology (distribution of stiffening ribs) by replicating the natural growth of dendritic structures, which are ramified branches as those e.g. in leaves or in insect wings. The test case is a plate excited by acoustic pressure. The multi-objectives topology optimization aims to reduce both the vibration amplitude and mass of the plate. Experimental tests are performed for baseline plate model validation and identification of acoustic excitation distribution. A set of solutions are designed by the proposed method and numerically compared with traditional optimization approaches, showing improved performances. Finally, in order to evaluate industrial applicability, the robustness of the solutions to uncertainty in branch widths is demonstrated.

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Pseudo-constructal theory for shape optimization of mechanical structures

Marcelin

2007

Int J Adv Manuf Technol

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Genetic optimization of vibrating stiffened plates

Cited by 5 publications

References 11 publications

Optimization of the Auxiliary-Beam System in Railway Bridge Vibration Mitigation Using FEM Simulation and Genetic Algorithms

Optimization of the Auxiliary-Beam System in Railway Bridge Vibration Mitigation Using FEM Simulation and Genetic Algorithms

Vibration reduction using biologically inspired topology optimization method: optimal stiffeners distribution on an acoustically excited plate

Pseudo-constructal theory for shape optimization of mechanical structures

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