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Purdue University Purdue e-Pubs Publications of the Ray W. Herrick Laboratories School of Mechanical Engineering 7-2002 e application of the edge-constraint effect to nearly-realistic noise control applications J Stuart Bolton Purdue University, [email protected] Bryan H. Song NASA-Kennedy Space Center Follow this and additional works at: hp://docs.lib.purdue.edu/herrick is document has been made available through Purdue e-Pubs, a service of the Purdue University Libraries. Please contact [email protected] for additional information. Bolton, J Stuart and Song, Bryan H., "e application of the edge-constraint effect to nearly-realistic noise control applications" (2002). Publications of the Ray W. Herrick Laboratories. Paper 77. hp://docs.lib.purdue.edu/herrick/77

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Page 1: The application of the edge-constraint effect to nearly

Purdue UniversityPurdue e-Pubs

Publications of the Ray W. Herrick Laboratories School of Mechanical Engineering

7-2002

The application of the edge-constraint effect tonearly-realistic noise control applicationsJ Stuart BoltonPurdue University, [email protected]

Bryan H. SongNASA-Kennedy Space Center

Follow this and additional works at: http://docs.lib.purdue.edu/herrick

This document has been made available through Purdue e-Pubs, a service of the Purdue University Libraries. Please contact [email protected] foradditional information.

Bolton, J Stuart and Song, Bryan H., "The application of the edge-constraint effect to nearly-realistic noise control applications"(2002). Publications of the Ray W. Herrick Laboratories. Paper 77.http://docs.lib.purdue.edu/herrick/77

Page 2: The application of the edge-constraint effect to nearly

THE APPLICATION OF THE EDGE-CONSTRAINT EFFECT TO NEARLY-

REALISTIC NOISE CONTROL APPLICATIONS

Bryan H. Songy gNASA-Kennedy Space Center

J. Stuart Bolton Ray W. Herrick Laboratories

Purdue University

Purdue University Herrick Laboratories

Page 3: The application of the edge-constraint effect to nearly

BackgroundBackground

• Investigation of edge constraint effect on samples placed in a modified standing wave tube (J. S. Bolton et al., SAE 1997; B H Song et al JASA 1999)1997; B. H. Song et al., JASA 1999).

• Internal constraints may be used to selectively enhance the transmission loss of lining materials at low frequencies (B. H S t l JASA 2001)H. Song et al., JASA 2001).

• Enhancement of the barrier performance of porous linings by using internal constraints (B. H. Song et al., submitted for NCEJ 2001).

Page 4: The application of the edge-constraint effect to nearly

IntroductionIntroduction

• Comparison between measured and FE predicted random transmission losstransmission loss.

• Enhancement of transmission loss of barrier system by exploiting the edge-constraint effect at low frequency

• Design of low frequency noise control barriers following from constraint of porous lining materials around their edges.g

Page 5: The application of the edge-constraint effect to nearly

Glass Fiber Material inside of Sample Holder

Page 6: The application of the edge-constraint effect to nearly

Four Microphone Measurement

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Anechoic Transmission Loss (3” Sample A in a Small Tube)

40

(3 Sample A in a Small Tube)

30

35

Experiment Prediction using FEM (Edge constrained)Prediction using FEM (Unconstrained)

25

30

B)Increase in TL

Shearing mode

15

20

TL (d

Increase in TLdue to edge constraint

5

10

7 dB

102 103 1040

Frequency (Hz)

7 dB

Page 8: The application of the edge-constraint effect to nearly

Surface Normal Impedance (3” Sample A in a Small Tube)

8

10Experiment

(3 Sample A in a Small Tube)

4

6

8R

e(zn

)Prediction using FEM (Edge constrained)Prediction using FEM (Unconstrained)

102 103 1040

2

5

n)

0

Im(z

n

102 103 104-5

Frequency (Hz)

Page 9: The application of the edge-constraint effect to nearly

Poroelastic Material Properties used in Calculationsused in Calculations

Material Bulk density(Kg/m3)

Porosity Tortuosity Flow resistivity(MKS Rayls/m)

Shear modulus

(Pa)

Loss factor

(Pa)

Sample A 6.73 0.99 1.1 21000 1200 0.35

Page 10: The application of the edge-constraint effect to nearly

Random Incidence Transmission Loss(27 cm X 27 cm)(27 cm X 27 cm)

Page 11: The application of the edge-constraint effect to nearly

Schematic of Experimental Setup for the Random Transmission LossRandom Transmission Loss

R everb era tio nR (210 3)

F o am B arrie rsR everb era tio nR (210 3)

F o am B arrie rs

S am p les

R o o m (210 m 3)

S am p les

R o o m (210 m 3)

L o u d sp eaker 1A L T E C A 7X

L o u d sp eaker 2A L T E C A 7X

L o u d sp eaker 1A L T E C A 7X

L o u d sp eaker 2A L T E C A 7X

T ech ro nA m p lifie r 7520

D u a l M ic ro p h o n eS u p p ly(B & K 5935 )T ech ro n

A m p lifie r 7520

D u a l M ic ro p h o n eS u p p ly(B & K 5935 )

W ave tek F ilte r

A m p lifie r 7520

852W avetek F ilte r

852B & KP u lse

C o m p u te r

W ave tek F ilte r

A m p lifie r 7520

852W avetek F ilte r

852B & KP u lse

C o m p u te rR an d o m N o iseG en era to r

G R 1390 A

R an d o m N o iseG en era to rB & K 2032

C o m p u te rH P (V ec tra )R an d o m N o ise

G en era to rG R 1390 A

R an d o m N o iseG en era to rB & K 2032

C o m p u te rH P (V ec tra )

Page 12: The application of the edge-constraint effect to nearly

The Circular Aperture for Random Incidence Transmission Loss (30 cm Diameter)Transmission Loss (30 cm Diameter)

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Axisymmetric and 3-D FE Models(30 cm Diameter Circular Aperture)(30 cm Diameter Circular Aperture)

Axisymmetric Model

3-D Model

Page 14: The application of the edge-constraint effect to nearly

Internally-Constrained, 30 cm Diameter SampleSample

Mid mid ConstrainedMid-mid-Constrained Case

EdgeEdge

Mid

Mid-mid

Mid

Mid-mid

Mid-mid-midMid-mid-mid

Page 15: The application of the edge-constraint effect to nearly

TL for the Various Constraint Cases

40Edge constrained (FE prediction)

30

35Edge constrained (Measurement) Mid constrained (FE prediction) Mid constrained (Measurement) Mid-mid constrained (FE prediction) Mid-mid constrained (Measurement)

20

25

L [d

B]

Mid-mid-mid constrained (FE prediction)Mid-mid-mid constrained (Measurement)

10

15

TL

5

10

102 1030

Frequency [Hz]

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TL for the Unconstrained FE Predictions

40Edge constrained

30

35Mid constrained Mid-mid constrained Mid-mid-mid constrained

20

25

L (d

B)

10

15

TL

5

10

102 1030

Frequency (Hz)

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FE Prediction of Random Incidence Transmission Loss (3-D Model)Transmission Loss (3 D Model)

SPL (1000 Hz)

ADX SDX

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FE Prediction of Random Incidence Transmission Loss (Axisymmetric FE Model)Transmission Loss (Axisymmetric FE Model)

SPL (1000 Hz)

ADX SDX

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The Square Aperture for Random Incidence Transmission Loss (27 cm by 27 cm)Transmission Loss (27 cm by 27 cm)

Page 20: The application of the edge-constraint effect to nearly

Internally-Constrained, 27 cm by 27 cm SampleSample

Page 21: The application of the edge-constraint effect to nearly

3-D FE Model (27 cm by 27 cm Square Aperture)(27 cm by 27 cm, Square Aperture)

Page 22: The application of the edge-constraint effect to nearly

Internally-Constrained Green Sample(Frame Constraint)(Frame Constraint)

Glass fiber (3”)

B&K Two Microphone Probe

7.5 cm

Page 23: The application of the edge-constraint effect to nearly

TL Increase for the Internally-Constrained Sample A (Frame Constraint)Sample A (Frame Constraint)

40

30

35

40

(a)

Measurement (Edge constraint) Measurement (Frame constraint) FE prediction (Edge constraint) FE prediction (Frame constraint)

20

25

30

(dB

)

10

15

20

TL

2 30

5

102 103

Frquency [Hz]

Page 24: The application of the edge-constraint effect to nearly

TL for the Single Panel System Lined with Glass Fiber MaterialGlass Fiber Material

Limp Panel (0.078”)+Air (1”)+Glass fiber (3”)

B&K Two Microphone Probe

7.5 cm

2.5 cm

Page 25: The application of the edge-constraint effect to nearly

TL Increase for the Internally-Constrained Sample A (Frame Constraint)Sample A (Frame Constraint)

40

30

35 (b)

20

25

L (d

B)

10

15

TL

102 1030

5

10 10Frquency [Hz]

Page 26: The application of the edge-constraint effect to nearly

C l i

Good agreement between measured and FE predicted random

Conclusions

g ptransmission losses.

Random transmission losses through segmented lining materials were enhanced at low frequencies by the edge q y gconstraint effect.

Light and stiff fibrous materials combined with edge and internal constraint mechanisms can be used to design, light, g ghigh performance low frequency noise control barriers.