Reliability based design optimization of coupled acoustic-structure system using generalized polynomial chaos

Dammak, Khalil; Hami, Abdelkhalak El; Koubaa, Sana; Walha, Lassâad; Haddar, Mohamed

doi:10.1016/j.ijmecsci.2017.10.003

Cited by 52 publications

(10 citation statements)

References 34 publications

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“…Zhang et al [44] presented a robust optimization design method for the advanced grid composite cylindrical crust with initial-failure. Wang et al [45] negotiated the trustworthiness, optimum design, trustworthinessbased optimization and robust optimization for laminated composites.…”

Section: Methods Of Optimization For Coupledstructural Acoustic Systemsmentioning

confidence: 99%

A review on design optimization approaches of coupled-structural acoustic systems

Emül¹,

Ranjbar²

2018

JSEAM

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A survey on current design and optimization of coupled-structural acoustic systems (OCSAS) is presented. It reinforces different terminologies and methods in this field. General concepts are shortly defined, and literatures are reviewed for further investigation. Although surveys of optimization for coupled-structural acoustic systems are common, they are frequently incomplete in terms of extensive scope general applicability to engineering design. For instance, many surveys only target determined applications while others only mention the critical literature in the field. Outcomes are drawn that represent often-neglected ideas and applicability to engineering problems. It has been found that no single approach is outstanding. On the contrary, the selection of a determined method depends on the type of knowledge that is supplied in the problem, the user's preferences, the solution necessaries, etc. Also, new emerging research fields are introduced.

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Section: Methods Of Optimization For Coupledstructural Acoustic Systemsmentioning

confidence: 99%

A review on design optimization approaches of coupled-structural acoustic systems

Emül¹,

Ranjbar²

2018

JSEAM

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“…where χ mn is the n-th root of the derivative of J m -the Bessel function of the first kind of the order m. Thus the modal analysis can be applied (Dammak et al, 2017a;Blazejewski, 2013;Blazejewski et al, 2014) and the acoustic pressure field inside the duct is obtained as…”

Section: Governing Equations Of the Physical Problem 21 Acoustic Prmentioning

confidence: 99%

Numerical modeling of uncertainty in acoustic propagation via generalized polynomial chaos

Dammak

Koubaa

Hami

et al. 2019

Journal of Theoretical and Applied Mechanics

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This work aims at increasing the performance prediction for acoustic propagation systems that will operate in the presence of the inevitable parameters uncertainty. In the present contribution, the finite element method is applied to solve an acoustic problem described by the Helmholz equation when the geometric and material properties present uncertainty. The influence of the uncertainty of physical parameters on the pressure field is discussed. The results using the polynomial chaos expansion method are compared with Monte Carlo simulations. It is show that uncertainty levels in the input data could result in large variability in the calculated pressure field in the domain.

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“…It generates for all uncertain parameters and following their laws of probability and their correlations, random draws. For each draw, a set of parameters is obtained and a deterministic calculation, according to analytic or numerical models well defined, is operated [6]. This method can be applied to any system and the results are accurate.…”

Section: Monte Carlo (Mc)mentioning

confidence: 99%

“…Several methods are proposed in the literature for considering uncertainties. Monte Carlo (MC) method is well-known in this field but it is often costly because of the great numbers of samples required in the aim to have a reasonable accuracy [5][6][7]. Polynomial chaos method is also presented in the literature as an attractive probabilistic method for considering uncertainties.…”

Section: Introductionmentioning

confidence: 99%

Numerical modeling of shape memory alloy problem in presence of perturbation: application to Cu-Al-Zn-Mn specimen

Abid

Hami

Merzouki

et al. 2019

Int. J. Simul. Multidisci. Des. Optim.

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This paper proposes a methodology for taking into consideration uncertainties based on polynomial chaos (PC). The proposed approach is used in order to determine the response of Cu-Al-Zn-Mn shape memory alloy specimen with uncertainties associated to material parameters. The simulation results are obtained by PC method. The proposed method seems to be an efficient probabilistic tool. It is worth mentioning that PC approach is an interesting alternative for the parametric studies. This technique is more efficient compared to MC approach.

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Reliability based design optimization of coupled acoustic-structure system using generalized polynomial chaos

Cited by 52 publications

References 34 publications

A review on design optimization approaches of coupled-structural acoustic systems

A review on design optimization approaches of coupled-structural acoustic systems

Numerical modeling of uncertainty in acoustic propagation via generalized polynomial chaos

Numerical modeling of shape memory alloy problem in presence of perturbation: application to Cu-Al-Zn-Mn specimen

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