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REDUCTION OF THE NOISE RADIATED BY SUBMERGED STRUCTURES : OPTIMISATION OF LAYERED COATINGS

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Submitted on 1 Jan 1990

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REDUCTION OF THE NOISE RADIATED BY SUBMERGED STRUCTURES : OPTIMISATION OF

LAYERED COATINGS

B. Nicolas-Vullierme, D. Osmont

To cite this version:

B. Nicolas-Vullierme, D. Osmont. REDUCTION OF THE NOISE RADIATED BY SUBMERGED

STRUCTURES : OPTIMISATION OF LAYERED COATINGS. Journal de Physique Colloques, 1990,

51 (C2), pp.C2-1045-C2-1048. �10.1051/jphyscol:19902245�. �jpa-00230574�

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COLLOQUE DE PHYSIQUE

C o l l o q u e C 2 , suppl6ment au n 0 2 , T o m e 51, F 6 v r i e r 1990 ler Congres FranCais d'Acoustime 1990

REDUCTION OF THE NOISE RADIATED BY SUBMERGED STRUCTURES : OPTIMISATION OF LAYERED COATINGS

B. NICOLAS-WLLIERME and D. OSMONT

Office National dlEtudes et de Recherches ABrospatiales. BP. 72, F-92322 Chdtillon Cedex, France

ABSTRA(;T

We propose an optimization process in order to design optimal viscoelastic (isotropic or msverse-isotropic) layered coatings for submerged structures. These coatings are optimized in order to reduce the far-field pressure radiated by the structure when subjected to time-harmonic prescribed forces or displacements. These coatings have to satisfy three inequality constraints, maximum thickness, maximum and minimum mean value mass density, maximum mean value compressibility. In order to define a fast and efficient optimization process, we have considered the stiucture to be an infinite plate radiating in a semi-infinite fluid and the coating to be an infinite layered medium. The optimization has to provide coatings feasible with respect to the constraints and inducing the maximum far-field radiated noise attenuation in the largest frequency range. We present the software named Of*IIMASQ we have developped for this purpose and some of the results we have obtained which prove the efficiency of the optimization process even for severe constraints.

-

We propose an optimization process in order to design optimal viscoelastic (isotropic or transverse- isotropic) layered coatings for submerged structures. These coatings are optimized in order to reduce the far-field pressure radiated by the structure when subjected to time-harmonic prescribed forces or displacements. These coatings have to satisfy three inequality constraints : maximum thickness, maximum and minimum mean value mass density, maximum mean value compressibility. Optimisation processes have been developped for particular applications [ref. 1 to 51 but not, to our knowledge, fur the application we present here.

In order to define an efficient optimization process we propose to design optimal layered coatings for an infinite plate. This plate, subjected to prescribed time harmonic forces or displacement radiates far-field pressure in a semi infinite fluid (Figure 1). In the following we will only refer to prescribed forces. The prescribed forces may be :

-

sinusoidal forces reading So expiik2x2+ik3x3-iot)

-

forces reading Sos(x2.x3)exp(-iot) where s(x2,x3) is a scalar function having Fourier type decomposition

-

- A : s(x2.~3)=(Wn:)~

I I

s(k2&3)exp(ik2~2+ik~19) dk2dk3,

-OD 40

where L, is a reference length. For example, for a point force $(k2,k3)=l for every (kA-3).

Let p be the far-field pressure radiated in the fluid. In order to define the reduction of this pressure we introduce measures of this pressure. Let Z be a control surface related to the prescibed force, the measures of the far field pressure read M ~ ( ~ ) = { ! Z lp(x,w)lmdZ/~~ dC)l/m for l s n x o o . For example, for a sinusoidal force, the control surface is part of a plane parallel to the plate; for a point force, the control surface is a half-sphere of great radius.

Se

Article published online by EDP Sciences and available at http://dx.doi.org/10.1051/jphyscol:19902245

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C2-1046 COLLOQUE DE PHYSIQUE

Let px and p, be the far field pressures when the plate is covered or not covered with the layered coating X.

The control surface must satisfy the condition that the ratio Mm(px)/Mm(po) is independent of the distance of the control surface to the plate. Then 'It is possible to define the attenuation Am of the radiated noise using the following fonnula Am= -20 l ~ g ~ ~ ( M ~ ( m c ) / M ~ @ o ) ) . It is to be noticed that for m=l, m=2, m large, Mm@) is respectively the mean-value of the pressure, the quadratic mean-value of the pressure, close to the maximum pressure relative to the control surface. The corresponding attenuations will be named "mean-value" attenuation. "quadratic mean-value"

attenuation and "minimum value" attenuation

As it is desired a design an optimal layered coating having the best radiated noise attenuation capabiities for prescribed time harmonic forces So exp(ik2x2+ik3x3-imt) in the range of circular ffequencies *[*, (UL], it is natural to introduce the €onstmint optimization p r o b l e n :

Find a feasible layered coating X so that the objective function :

~ m ( x , m l , ~ ) = { IPX(X,~)~%I dm)/{

ln[lI:

I P O ( X , ~ ) ~ ~ ~ I dm) beminimum.

The feasibility of the coating refers to the total thickness, mean-value mass density and compressibility constraints which will be named "functional" constraints but also to "physical constraints" making it possible to be sure that the thiclmess and mechanical constants of each layer have physical meaning.

P

We will not describe in details the optimization process but will only present the main points. These points are:

1) the optimization process is based on a conjugate gradient algorithm neading only the computation of the objective function Fm and of the first derivatives of this function with respect to the thicknesses and mechanical constants of the layers. These computations only require the computation of the transmission and first derivatives of the transmission of the layered coating for sinusoidal time-harmonic forces inducing radiated pressure, namely sinusoidal time-harmonic foxes reading S~exp(i!c~x~+ik~x~-iot) for which [@2)2+(k3)2]ln

s

O/cf where cf is the speed of sound in the fluid.

2) the constraints are taken into account by means of mixed penalty functions 3) the opthimion parameters are :

-

the thickness of each layer

-

the mass density of each layer

-

the elastic constants of each layer, two constants for isotropic media, four constants for transverse-isotropic media

-

two viscoelastic constants (ai, i=l,2) which make it possible to define viscoelastic constants E* related to the elastic constant E by means of the relation E*=E(l+ i a) where a stands for a1 or a2.

4) "physical constraints" may be set for each layer in order that :

-

the thickness, the mass density and the viscoelastic constants ai lie betwen a minimum and a maximum value

-

the elastic constant have physical meaning

5) "functional constraints" may be set for the layered coating in order that the total thickness, the mean-value mass density and the mean-value compressibility lie between a minimum and a maximum value.

P

We present, figures 2 and 3, results obtained for :

-

a plate subjected a time hammnic point-forces

-

one to four viscoelastic and i s m p i c layers coatings

-

a complete set of "functional" constraints including inequality constraints for the total thickness and mean-value wmpre-ssibility and an equality constraint for the mean-value mass density.

The optimization has been done in order to obtain maximum "quadratic mean-value" attenuations in the widest

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fi'equency range centered on the reference frequency fo. We have done optimizations for one, two, three and four layers coatings. We present two results for optimized one layer coatings and one result for optimized two, three and four layers coatings. A reference mating is also presented which is the coating from which the one layer optimization starts.

Figure 2 shows the "quadratic mean-value" attenuation of the radiated far field noise versus the reduced frequency. This figure shows than multi-layered coatings are much better than one layer coatings. This is due to the equality constraint on the mean-value mass density. This figure also shows that for multi~layered coatings, the attenuations are of the same order of magnitude and that increasing the number of layers makes it possible to lower the frequency from which positive attenuations are obtained. It is to be remarked that the low level of the attenuations obtained is related to the severe "functional" constraints prescibed for this case.

1 layer reference coating 1. 2, 3 6 4 layers optimal coatings comparison of 'quadratic mean-value attenuations

O : r e f e r e n c e A : 1 l a y e r n. 1 0 : 1 l a y e r n' 2

6 . X : 2 l a y e r s

V : 3 l a y e r s W : 4 l a y e r s

3

4.

C .A 4J $ 2.

C

u m

0 .

-2.

0 . 0 0 . 5 1 . 0 1 . 5 2 . 0

reduced frequency f/fO

Figure 2

Figure 3 shows the "minimum value" attenuation of the radiated far field noise versus the reduced frequency. This figure shows that the improvements of the " m u m value" attenuation are less than the improvements of "quadratic mean-value" attenuation.?his is due to the inequality constraint on the mean-value compressibility.

1 layer reference coating 1, 2, 3 6 4 layers optimal coatings comparison of 'minimum value' attenuations

0 t r e f e r e n c e A : 1 l a y e r n' 1 0 : 1 l a y e r n. 2

6 . x : 2 l a y e r s

v : 3 l a y e r s W : 4 l . ~ . r s

3

4 .

C ..-I

u '2 2 .

u Q)

u 0.

- 2 .

0.0 0.5 1.0 1.5 2.0

reduced frequency f / f O

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C2-1048 COLLOQUE DE PHYSIQUE

The results presented proves the optimization process we use in the sofware OPTIMASQ we have developped is able to provide significant improvements of the attenuation of the noise radiated in the fluid even if severe

"functional" constraints are prescribed which make it impossible to retain usual solutions obtained for such layers in acoustics.

4)

co-

The optimization process we present is a fast and efficient process to design layered coatings, especially when severe constraints on total thickness, mean value mass density and compressibility are prescribed. Notice that this pmcess requires some physical insight to be used efficiently due to the difficulty to impose the whole set of constraints at the same time. Notice that a particuliar attention has to be paid to the forces and to the measure for which the optimization is done, their choice may have great influence on the results.

REFERENCES

1) LE. Anfinsen : "Optimum design of layered elastic stress wave attenuators", , . J Sept. 1961, pp.

751-755

2. M.V. Krasil'nikov : "Optimal energy absorption conditions in multilayered resonant systems", Soviet P u

acoustic.

29(5), September-October 1983. pp. 370-372

3. V.V. Abgaryan and G.S. Lyubashevskii, "Optimal synthesis of a controlled system for the suppression of travelleing sound waves in a one-dimensional structure",

Soviet

30(3), May-June 1984, pp.171-173 4. A-Yildiz and KStevens : "Optimum thickness distribution of unconstrained viscoelastic damping layer treatments

. .

forplates,

J .

103(2), 1985. pp. 183-199

5. SE.Makris. C.L.Dym & J.M.G.Smith, 'Transmission loss optimization in acoustic sandwich panels", J.A.S.A..

79(6), June 1986

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