A general concept for design modification of shell meshes in structural-acoustic optimization — Part II: Application to a floor panel in sedan interior noise problems

Marburg, Steffen; Hardtke, H.‐J.

doi:10.1016/s0168-874x(01)00102-0

Cited by 26 publications

(22 citation statements)

References 23 publications

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“…These are in the standard variant often selected on the basis of experience and experimentation (since optimal values are problem dependent), which represents a significant deficiency in practice. Certainly, the optimization procedure based on deterministic analysis is also able to reduce the value of acoustic responses of structures [19][20][21][22] significantly.…”

Section: The Implementation Methods Of the Structural-acoustic Optimizmentioning

confidence: 99%

Reliability-Based Optimization of Coupled Structural-Acoustic System with Random Parameters

Wang¹,

Li²,

Ma³

et al. 2016

IJAV

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Structural noise is an important factor that endangers aircraft fatigue life and flight safety. It also has a negative effect on aircraft stealth performance and noise navigability. An optimal design of a structure-acoustic coupled system is an effective way to reduce noise and vibration. Due to the uncertainties that exist in the structural and acoustical parameters, the traditional deterministic optimization method may be unfeasible when the parameters are subject to fluctuations. This means that when the parameters are uncertain, the results obtained from the deterministic optimization method may be beyond their constraints. This paper proposes to apply the stochastic reliability-based optimization method to the design optimization of the coupled structural-acoustic system with random parameters. A comparison between the results of the stochastic reliability-based method, the safety factorbased method, and the deterministic method show that the first two methods can effectively consider the dispersion of the parameters.

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Section: The Implementation Methods Of the Structural-acoustic Optimizmentioning

confidence: 99%

Reliability-Based Optimization of Coupled Structural-Acoustic System with Random Parameters

Wang¹,

Li²,

Ma³

et al. 2016

IJAV

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“…The original boundary element model of the cabin being the same as in the authors' papers 35,37 consists of 2646 nodes and 2797 linear elements while the trunk model contains 1427 nodes and 1534 linear elements (cf. lower right subfigure of Fig.…”

Section: Fluid Modelmentioning

confidence: 99%

“…This strategy has already been discussed in former papers by the authors. [34][35][36][37][38] Acoustic influence coefficients have been computed for frequencies up to 250 Hz in steps of 1 Hz. Since the optimization procedure is limited to the frequency range up to 100 Hz, we confine to this range for visualization purposes.…”

Section: Fluid Modelmentioning

confidence: 99%

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Investigation and Optimization of a Spare Wheel Well to Reduce Vehicle Interior Noise

Marburg

Hardtke

2003

J. Comp. Acous.

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Optimization of structures with the intention to reduce noise emission has become an efficient tool during the past decade. Various approaches and applications have been published and will be briefly reviewed in this paper. Then, the structural component model of a spare wheel well and the fluid model of a sedan cabin are described. The noise transfer function is defined as the sound pressure level in vicinity of the driver's ear due to a harmonic force excitation at engine supports. The frequency range of 0-100 Hz is considered. In a first investigation, it is tested whether stiffening of the entire structural component really decreases the noise transfer function. It can be seen that this stiffening mainly affects noise emission in the upper frequency range. In a contribution analysis, i.e. analysis of the surface contribution to the noise at the driver's ear, the original model and the stiffened model are compared. This contribution analysis includes frequency ranges by summation of contribution and/or contribution levels. Modification of the structure by design variables consists of modification of the shell geometry, i.e. curvature. Two regions are selected at the bottom of the wheel well. Optimization of 30 design variables leads to a gain of 1.15 dB in the objective function being the root mean square value of the sound pressure level at the driver's ear. Finally, we discuss the results. In most papers on structural acoustic optimization, higher decreases have been reported. An explanation is provided, why this was not possible for the structure that has been investigated here. The new shape, however, seems to be a reasonable choice.

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“…To minimize the acoustic intensity on some contour, Kavch Ghayour [6] has differentiated the real and imaginary parts of the pressure equation to perform DSA in his dissertation. Steffen Marburg [7][8] has analyzed structural acoustic radiation of shell box by modifying the finite shell element models, and applied the result to optimize a sedan chassis. D. Duhamel [9] employed the genetic algorithms to minimize the acoustic pressure level in a domain behind the barrier by shape optimization.…”

Section: Introductionmentioning

confidence: 99%

Structural-acoustic optimization of stiffened panels based on a genetic algorithm

Chen

Wang

2007

J. Marine. Sci. Appl.

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For the structural-acoustic radiation optimization problem under external loading, acoustic radiation power was considered to be an objective function in the optimization method. The finite element method ˄FEM˅and boundary element method (BEM) were adopted in numerical calculations, and structural response and the acoustic response were assumed to be de-coupled in the analysis. A genetic algorithm was used as the strategy in optimization. In order to build the relational expression of the pressure objective function and the power objective function, the enveloping surface model was used to evaluate pressure in the acoustic domain. By taking the stiffened panel structural-acoustic optimization problem as an example, the acoustic power and field pressure after optimized was compared. Optimization results prove that this method is reasonable and effective.

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A general concept for design modification of shell meshes in structural-acoustic optimization — Part II: Application to a floor panel in sedan interior noise problems

Cited by 26 publications

References 23 publications

Reliability-Based Optimization of Coupled Structural-Acoustic System with Random Parameters

Reliability-Based Optimization of Coupled Structural-Acoustic System with Random Parameters

Investigation and Optimization of a Spare Wheel Well to Reduce Vehicle Interior Noise

Structural-acoustic optimization of stiffened panels based on a genetic algorithm

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