Source: EURLEX
Language: en
Format: md

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| 10.1.2018 | EN | Official Journal of the European Union | L 5/35 |

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Corrigendum to Commission Directive (EU) 2015/996 of 19 May 2015 establishing common noise assessment methods according to Directive 2002/49/EC of the European Parliament and of the Council

(
[Official Journal of the European Union L 168 of 1 July 2015](./../../../legal-content/EN/AUTO/?uri=OJ:L:2015:168:TOC)
)

On page 4, in the Annex, in point 2.1.1, in the first paragraph:

for:

‘the frequency range from 63 Hz to 8 kHz’,

read:

‘the frequency range from 63 Hz to 8 kHz octave bands’.

On page 8, in the Annex, in point 2.2.1, in the second paragraph under the heading ‘Traffic flow’:

for:

‘each octave band i from 125 Hz to 4 kHz’,

read:

‘each octave band i from 63 Hz to 8 kHz’.

On page 19, in the Annex, in point 2.3.2, in the second paragraph under the heading ‘Definition’:

for:

‘and v is the train speed in km/h’,

read:

‘and v is the train speed in m/s’.

On page 19, in the Annex, in point 2.3.2, in the fifth paragraph under the heading ‘Definition’:

for:

‘A3(λ)’,

read:

‘A3(λ)’.

On page 21, in the Annex, in point 2.3.2, in the third paragraph under the heading ‘Impact noise (crossings, switches and junctions)’:

for:

‘and v is the s-th vehicle speed of the t-th vehicle type in km/h’,

read:

‘and v is the s-th vehicle speed of the t-th vehicle type in m/s’.

On page 35, in the Annex, in point 2.5.6, in the first paragraph under the heading ‘Calculation in favourable conditions’, in (b):

for:

‘
![Image 1](data:image/jpg;base64,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)
’.

On page 39, in the Annex, in point 2.5.6, in the first paragraph under the heading ‘Favourable conditions’:

for:

‘
SO, OR, and SR
’,

read:

‘
![Image 3](data:image/jpg;base64,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)
, 
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 and
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’.

On page 129, Appendix G to the Annex shall read as follows:

‘Appendix G

Database for railway source

This appendix presents the database for most of the existing railway noise sources to be used to calculate railway noise following the method described in 2.3 Railway noise.

Table G-1

Coefficients Lr,TR,i
 and Lr,VEH,i
 for rail and wheel roughness

|  |  |  |  |
| --- | --- | --- | --- |
| Lr,VEH,i | | | |
| Wavelength | Brake type | | |
| c | k | n |
| Cast iron tread brake | Composite brake | Disk brake |
| 1 000  mm | 2,2 | – 4,0 | – 5,9 |
| 800 mm | 2,2 | – 4,0 | – 5,9 |
| 630 mm | 2,2 | – 4,0 | – 5,9 |
| 500 mm | 2,2 | – 4,0 | – 5,9 |
| 400 mm | 2,2 | – 4,0 | – 5,9 |
| 315 mm | 2,2 | – 4,0 | – 5,9 |
| 250 mm | 2,2 | – 4,0 | 2,3 |
| 200 mm | 2,2 | – 4,0 | 2,8 |
| 160 mm | 2,4 | – 4,0 | 2,6 |
| 120 mm | 0,6 | – 4,0 | 1,2 |
| 100 mm | 2,6 | – 4,0 | 2,1 |
| 80 mm | 5,8 | – 4,3 | 0,9 |
| 63 mm | 8,8 | – 4,6 | – 0,3 |
| 50 mm | 11,1 | – 4,9 | – 1,6 |
| 40 mm | 11,0 | – 5,2 | – 2,9 |
| 31,5 mm | 9,8 | – 6,3 | – 4,9 |
| 25 mm | 7,5 | – 6,8 | – 7,0 |
| 20 mm | 5,1 | – 7,2 | – 8,6 |
| 16 mm | 3,0 | – 7,3 | – 9,3 |
| 12 mm | 1,3 | – 7,3 | – 9,5 |
| 10 mm | 0,2 | – 7,1 | – 10,1 |
| 8 mm | – 0,7 | – 6,9 | – 10,3 |
| 6,3 mm | – 1,2 | – 6,7 | – 10,3 |
| 5 mm | – 1,0 | – 6,0 | – 10,8 |
| 4 mm | 0,3 | – 3,7 | – 10,9 |
| 3,2 mm | 0,2 | – 2,4 | – 9,5 |
| 2,5 mm | 1,3 | – 2,6 | – 9,5 |
| 2 mm | 3,1 | – 2,5 | – 9,5 |
| 1,6 mm | 3,1 | – 2,5 | – 9,5 |
| 1,2 mm | 3,1 | – 2,5 | – 9,5 |
| 1 mm | 3,1 | – 2,5 | – 9,5 |
| 0,8 mm | 3,1 | – 2,5 | – 9,5 |

|  |  |  |
| --- | --- | --- |
| Lr,TR,i | | |
| Wavelength | Rail roughness | |
| E | M |
| EN ISO 3095:2013 (Well maintained and very smooth) | Average network (Normally maintained smooth) |
| 1 000  mm | 17,1 | 11,0 |
| 800 mm | 17,1 | 11,0 |
| 630 mm | 17,1 | 11,0 |
| 500 mm | 17,1 | 11,0 |
| 400 mm | 17,1 | 11,0 |
| 315 mm | 15,0 | 10,0 |
| 250 mm | 13,0 | 9,0 |
| 200 mm | 11,0 | 8,0 |
| 160 mm | 9,0 | 7,0 |
| 120 mm | 7,0 | 6,0 |
| 100 mm | 4,9 | 5,0 |
| 80 mm | 2,9 | 4,0 |
| 63 mm | 0,9 | 3,0 |
| 50 mm | – 1,1 | 2,0 |
| 40 mm | – 3,2 | 1,0 |
| 31,5 mm | – 5,0 | 0,0 |
| 25 mm | – 5,6 | – 1,0 |
| 20 mm | – 6,2 | – 2,0 |
| 16 mm | – 6,8 | – 3,0 |
| 12 mm | – 7,4 | – 4,0 |
| 10 mm | – 8,0 | – 5,0 |
| 8 mm | – 8,6 | – 6,0 |
| 6,3 mm | – 9,2 | – 7,0 |
| 5 mm | – 9,8 | – 8,0 |
| 4 mm | – 10,4 | – 9,0 |
| 3,2 mm | – 11,0 | – 10,0 |
| 2,5 mm | – 11,6 | – 11,0 |
| 2 mm | – 12,2 | – 12,0 |
| 1,6 mm | – 12,8 | – 13,0 |
| 1,2 mm | – 13,4 | – 14,0 |
| 1 mm | – 14,0 | – 15,0 |
| 0,8 mm | – 14,0 | – 15,0 |

Table G-2

Coefficients A3,i
 for the contact filter

|  |  |  |  |  |  |
| --- | --- | --- | --- | --- | --- |
| A3,i | | | | | |
| Wavelength | Axle load 50 kN — wheel diameter 360 mm | Axle load 50 kN — wheel diameter 680 mm | Axle load 25 kN — wheel diameter 920 mm | Axle load 50 kN — wheel diameter 920 mm | Axle load 100 kN — wheel diameter 920 mm |
| 1 000  mm | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 |
| 800 mm | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 |
| 630 mm | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 |
| 500 mm | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 |
| 400 mm | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 |
| 315 mm | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 |
| 250 mm | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 |
| 200 mm | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 |
| 160 mm | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 |
| 120 mm | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 |
| 100 mm | 0,0 | 0,0 | 0,0 | 0,0 | 0,0 |
| 80 mm | 0,0 | 0,0 | 0,0 | – 0,2 | – 0,2 |
| 63 mm | 0,0 | – 0,2 | – 0,2 | – 0,5 | – 0,6 |
| 50 mm | – 0,2 | – 0,4 | – 0,5 | – 0,9 | – 1,3 |
| 40 mm | – 0,5 | – 0,7 | – 0,9 | – 1,6 | – 2,2 |
| 31,5 mm | – 1,2 | – 1,5 | – 1,6 | – 2,5 | – 3,7 |
| 25 mm | – 2,0 | – 2,8 | – 2,5 | – 3,8 | – 5,8 |
| 20 mm | – 3,0 | – 4,5 | – 3,8 | – 5,8 | – 9,0 |
| 16 mm | – 4,3 | – 7,0 | – 5,8 | – 8,5 | – 11,5 |
| 12 mm | – 6,0 | – 10,3 | – 8,5 | – 11,4 | – 12,5 |
| 10 mm | – 8,4 | – 12,0 | – 12,0 | – 12,0 | – 12,0 |
| 8 mm | – 12,0 | – 12,5 | – 12,6 | – 13,5 | – 14,0 |
| 6,3 mm | – 11,5 | – 13,5 | – 13,5 | – 14,5 | – 15,0 |
| 5 mm | – 12,5 | – 16,0 | – 14,5 | – 16,0 | – 17,0 |
| 4 mm | – 13,9 | – 16,0 | – 16,0 | – 16,5 | – 18,4 |
| 3,2 mm | – 14,7 | – 16,5 | – 16,5 | – 17,7 | – 19,5 |
| 2,5 mm | – 15,6 | – 17,0 | – 17,7 | – 18,6 | – 20,5 |
| 2 mm | – 16,6 | – 18,0 | – 18,6 | – 19,6 | – 21,5 |
| 1,6 mm | – 17,6 | – 19,0 | – 19,6 | – 20,6 | – 22,4 |
| 1,2 mm | – 18,6 | – 20,2 | – 20,6 | – 21,6 | – 23,5 |
| 1 mm | – 19,6 | – 21,2 | – 21,6 | – 22,6 | – 24,5 |
| 0,8 mm | – 20,6 | – 22,2 | – 22,6 | – 23,6 | – 25,4 |

Table G-3

Coefficients LH,TR,i, LH,VEH,i
 and LH,VEH,SUP,i
 for transfer functions

(Values are expressed in Sound Power Level per axle)

|  |  |  |  |  |  |  |  |
| --- | --- | --- | --- | --- | --- | --- | --- |
| LH,TR,i | | | | | | | |
| Frequency | Track base/Rail pad type | | | | | | |
| B/S | B/M | B/H | B/S | B/M | B/H | B/H |
| Mono-block sleeper on soft rail pad | Mono-block sleeper on medium stiffness rail pad | Mono-block on hard rail pad | Bi-block sleeper on soft rail pad | Bi-block sleeper on medium stiffness rail pad | Bi-block sleeper on hard rail pad | Wooden sleepers |
| 50 Hz | 53,3 | 50,9 | 50,1 | 50,9 | 50,0 | 49,8 | 44,0 |
| 63 Hz | 59,3 | 57,8 | 57,2 | 56,6 | 56,1 | 55,9 | 51,0 |
| 80 Hz | 67,2 | 66,5 | 66,3 | 64,3 | 64,1 | 64,0 | 59,9 |
| 100 Hz | 75,9 | 76,8 | 77,2 | 72,3 | 72,5 | 72,5 | 70,8 |
| 125 Hz | 79,2 | 80,9 | 81,6 | 75,4 | 75,8 | 75,9 | 75,1 |
| 160 Hz | 81,8 | 83,3 | 84,0 | 78,5 | 79,1 | 79,4 | 76,9 |
| 200 Hz | 84,2 | 85,8 | 86,5 | 81,8 | 83,6 | 84,4 | 77,2 |
| 250 Hz | 88,6 | 90,0 | 90,7 | 86,6 | 88,7 | 89,7 | 80,9 |
| 316 Hz | 91,0 | 91,6 | 92,1 | 89,1 | 89,6 | 90,2 | 85,3 |
| 400 Hz | 94,5 | 93,9 | 94,3 | 91,9 | 89,7 | 90,2 | 92,5 |
| 500 Hz | 97,0 | 95,6 | 95,8 | 94,5 | 90,6 | 90,8 | 97,0 |
| 630 Hz | 99,2 | 97,4 | 97,0 | 97,5 | 93,8 | 93,1 | 98,7 |
| 800 Hz | 104,0 | 101,7 | 100,3 | 104,0 | 100,6 | 97,9 | 102,8 |
| 1 000  Hz | 107,1 | 104,4 | 102,5 | 107,9 | 104,7 | 101,1 | 105,4 |
| 1 250  Hz | 108,3 | 106,0 | 104,2 | 108,9 | 106,3 | 103,4 | 106,5 |
| 1 600  Hz | 108,5 | 106,8 | 105,4 | 108,8 | 107,1 | 105,4 | 106,4 |
| 2 000  Hz | 109,7 | 108,3 | 107,1 | 109,8 | 108,8 | 107,7 | 107,5 |
| 2 500  Hz | 110,0 | 108,9 | 107,9 | 110,2 | 109,3 | 108,5 | 108,1 |
| 3 160  Hz | 110,0 | 109,1 | 108,2 | 110,1 | 109,4 | 108,7 | 108,4 |
| 4 000  Hz | 110,0 | 109,4 | 108,7 | 110,1 | 109,7 | 109,1 | 108,7 |
| 5 000  Hz | 110,3 | 109,9 | 109,4 | 110,3 | 110,0 | 109,6 | 109,1 |
| 6 350  Hz | 110,0 | 109,9 | 109,7 | 109,9 | 109,8 | 109,6 | 109,1 |
| 8 000  Hz | 110,1 | 110,3 | 110,4 | 110,0 | 110,0 | 109,9 | 109,5 |
| 10 000  Hz | 110,6 | 111,0 | 111,4 | 110,4 | 110,5 | 110,6 | 110,2 |

|  |  |  |  |  |
| --- | --- | --- | --- | --- |
| LH,VEH,i | | | | |
| Frequency | Wheel with diameter 920 mm, no measure | Wheel with diameter 840 mm, no measure | Wheel with diameter 680 mm, no measure | Wheel with diameter 1 200  mm, no measure |
| 50 Hz | 75,4 | 75,4 | 75,4 | 75,4 |
| 63 Hz | 77,3 | 77,3 | 77,3 | 77,3 |
| 80 Hz | 81,1 | 81,1 | 81,1 | 81,1 |
| 100 Hz | 84,1 | 84,1 | 84,1 | 84,1 |
| 125 Hz | 83,3 | 82,8 | 82,8 | 82,8 |
| 160 Hz | 84,3 | 83,3 | 83,3 | 83,3 |
| 200 Hz | 86,0 | 84,1 | 83,9 | 84,5 |
| 250 Hz | 90,1 | 86,9 | 86,3 | 90,4 |
| 316 Hz | 89,8 | 87,9 | 88,0 | 90,4 |
| 400 Hz | 89,0 | 89,9 | 92,2 | 89,9 |
| 500 Hz | 88,8 | 90,9 | 93,9 | 90,1 |
| 630 Hz | 90,4 | 91,5 | 92,5 | 91,3 |
| 800 Hz | 92,4 | 91,5 | 90,9 | 91,5 |
| 1 000  Hz | 94,9 | 93,0 | 90,4 | 93,6 |
| 1 250  Hz | 100,4 | 98,7 | 93,2 | 100,5 |
| 1 600  Hz | 104,6 | 101,6 | 93,5 | 104,6 |
| 2 000  Hz | 109,6 | 107,6 | 99,6 | 115,6 |
| 2 500  Hz | 114,9 | 111,9 | 104,9 | 115,9 |
| 3 160  Hz | 115,0 | 114,5 | 108,0 | 116,0 |
| 4 000  Hz | 115,0 | 114,5 | 111,0 | 116,0 |
| 5 000  Hz | 115,5 | 115,0 | 111,5 | 116,5 |
| 6 350  Hz | 115,6 | 115,1 | 111,6 | 116,6 |
| 8 000  Hz | 116,0 | 115,5 | 112,0 | 117,0 |
| 10 000  Hz | 116,7 | 116,2 | 112,7 | 117,7 |

|  |  |
| --- | --- |
| LH,VEH,SUP,i | |
| Frequency | Vehicle type |
| a |
| EU standard |
| 50 Hz | 0,0 |
| 63 Hz | 0,0 |
| 80 Hz | 0,0 |
| 100 Hz | 0,0 |
| 125 Hz | 0,0 |
| 160 Hz | 0,0 |
| 200 Hz | 0,0 |
| 250 Hz | 0,0 |
| 316 Hz | 0,0 |
| 400 Hz | 0,0 |
| 500 Hz | 0,0 |
| 630 Hz | 0,0 |
| 800 Hz | 0,0 |
| 1 000  Hz | 0,0 |
| 1 250  Hz | 0,0 |
| 1 600  Hz | 0,0 |
| 2 000  Hz | 0,0 |
| 2 500  Hz | 0,0 |
| 3 160  Hz | 0,0 |
| 4 000  Hz | 0,0 |
| 5 000  Hz | 0,0 |
| 6 350  Hz | 0,0 |
| 8 000  Hz | 0,0 |
| 10 000  Hz | 0,0 |

Table G-4

Coefficients LR,IMPACT,i
 for impact noise

|  |  |
| --- | --- |
| LR,IMPACT,i | |
| Wavelength | Single switch/joint/crossing/100 m |
| 1 000  mm | 22,4 |
| 800 mm | 22,4 |
| 630 mm | 22,4 |
| 500 mm | 23,8 |
| 400 mm | 24,7 |
| 315 mm | 24,7 |
| 250 mm | 23,4 |
| 200 mm | 21,7 |
| 160 mm | 20,2 |
| 120 mm | 20,4 |
| 100 mm | 20,8 |
| 80 mm | 20,9 |
| 63 mm | 19,8 |
| 50 mm | 18 |
| 40 mm | 16 |
| 31,5 mm | 13 |
| 25 mm | 10 |
| 20 mm | 6 |
| 16 mm | 1 |
| 12 mm | – 4 |
| 10 mm | – 11 |
| 8 mm | – 16,5 |
| 6,3 mm | – 18,5 |
| 5 mm | – 21 |
| 4 mm | – 22,5 |
| 3,2 mm | – 24,7 |
| 2,5 mm | – 26,6 |
| 2 mm | – 28,6 |
| 1,6 mm | – 30,6 |
| 1,2 mm | – 32,6 |
| 1 mm | – 34 |
| 0,8 mm | – 34 |

Table G-5

Coefficients LW,0,idling
 for traction noise

(Values are expressed in Sound Power Level per vehicle)

|  |  |  |  |  |  |  |  |  |  |  |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| LW,0,idling | | | | | | | | | | |
| Frequency | Vehicle type | | | | | | | | | |
| d | | d | | d | | e | | e | |
| Diesel locomotive (c. 800 kW) | | Diesel locomotive (c. 2 200  kW) | | Diesel multiple unit | | Electric locomotive | | Electric multiple unit | |
|  | SourceA | SourceB | SourceA | SourceB | SourceA | SourceB | SourceA | SourceB | SourceA | SourceB |
| 50 Hz | 98,9 | 103,2 | 99,4 | 103,7 | 82,6 | 86,9 | 87,9 | 92,2 | 80,5 | 84,8 |
| 63 Hz | 94,8 | 100,0 | 107,3 | 112,5 | 82,5 | 87,7 | 90,8 | 96,0 | 81,4 | 86,6 |
| 80 Hz | 92,6 | 95,5 | 103,1 | 106,0 | 89,3 | 92,2 | 91,6 | 94,5 | 80,5 | 83,4 |
| 100 Hz | 94,6 | 94,0 | 102,1 | 101,5 | 90,3 | 89,7 | 94,6 | 94,0 | 82,2 | 81,6 |
| 125 Hz | 92,8 | 93,3 | 99,3 | 99,8 | 93,5 | 94,0 | 94,8 | 95,3 | 80,0 | 80,5 |
| 160 Hz | 92,8 | 93,6 | 99,3 | 100,1 | 99,5 | 100,3 | 96,8 | 97,6 | 79,7 | 80,5 |
| 200 Hz | 93,0 | 92,9 | 99,5 | 99,4 | 98,7 | 98,6 | 104,0 | 103,9 | 79,6 | 79,5 |
| 250 Hz | 94,8 | 92,7 | 101,3 | 99,2 | 95,5 | 93,4 | 100,8 | 98,7 | 96,4 | 94,3 |
| 316 Hz | 94,6 | 92,4 | 101,1 | 98,9 | 90,3 | 88,1 | 99,6 | 97,4 | 80,5 | 78,3 |
| 400 Hz | 95,7 | 92,8 | 102,2 | 99,3 | 91,4 | 88,5 | 101,7 | 98,8 | 81,3 | 78,4 |
| 500 Hz | 95,6 | 92,8 | 102,1 | 99,3 | 91,3 | 88,5 | 98,6 | 95,8 | 97,2 | 94,4 |
| 630 Hz | 98,6 | 96,8 | 101,1 | 99,3 | 90,3 | 88,5 | 95,6 | 93,8 | 79,5 | 77,7 |
| 800 Hz | 95,2 | 92,7 | 101,7 | 99,2 | 90,9 | 88,4 | 95,2 | 92,7 | 79,8 | 77,3 |
| 1 000  Hz | 95,1 | 93,0 | 101,6 | 99,5 | 91,8 | 89,7 | 96,1 | 94,0 | 86,7 | 84,6 |
| 1 250  Hz | 95,1 | 92,9 | 99,3 | 97,1 | 92,8 | 90,6 | 92,1 | 89,9 | 81,7 | 79,5 |
| 1 600  Hz | 94,1 | 93,1 | 96,0 | 95,0 | 92,8 | 91,8 | 89,1 | 88,1 | 82,7 | 81,7 |
| 2 000  Hz | 94,1 | 93,2 | 93,7 | 92,8 | 90,8 | 89,9 | 87,1 | 86,2 | 80,7 | 79,8 |
| 2 500  Hz | 99,4 | 98,3 | 101,9 | 100,8 | 88,1 | 87,0 | 85,4 | 84,3 | 78,0 | 76,9 |
| 3 160 Hz | 92,5 | 91,5 | 89,5 | 88,5 | 85,2 | 84,2 | 83,5 | 82,5 | 75,1 | 74,1 |
| 4 000  Hz | 89,5 | 88,7 | 87,1 | 86,3 | 83,2 | 82,4 | 81,5 | 80,7 | 72,1 | 71,3 |
| 5 000  Hz | 87,0 | 86,0 | 90,5 | 89,5 | 81,7 | 80,7 | 80,0 | 79,0 | 69,6 | 68,6 |
| 6 350  Hz | 84,1 | 83,4 | 31,4 | 30,7 | 78,8 | 78,1 | 78,1 | 77,4 | 66,7 | 66,0 |
| 8 000  Hz | 81,5 | 80,9 | 81,2 | 80,6 | 76,2 | 75,6 | 76,5 | 75,9 | 64,1 | 63,5 |
| 10 000  Hz | 79,2 | 78,7 | 79,6 | 79,1 | 73,9 | 73,4 | 75,2 | 74,7 | 61,8 | 61,3 |

Table G-6

Coefficients LW,0,1
, LW,0,2
, α1
, α2
 for aerodynamic noise

(Values are expressed in Sound Power Level per vehicle (for a vehicle length of 20 m))

|  |  |  |
| --- | --- | --- |
|  | Aerodynamic noise given at 300 km/h | |
| α1 | α2 |
| 50 | 50 |
| Frequency | LW,0,1 | LW,0,2 |
| 50 Hz | 112,6 | 36,7 |
| 63 Hz | 113,2 | 38,5 |
| 80 Hz | 115,7 | 39,0 |
| 100 Hz | 117,4 | 37,5 |
| 125 Hz | 115,3 | 36,8 |
| 160 Hz | 115,0 | 37,1 |
| 200 Hz | 114,9 | 36,4 |
| 250 Hz | 116,4 | 36,2 |
| 316 Hz | 115,9 | 35,9 |
| 400 Hz | 116,3 | 36,3 |
| 500 Hz | 116,2 | 36,3 |
| 630 Hz | 115,2 | 36,3 |
| 800 Hz | 115,8 | 36,2 |
| 1 000  Hz | 115,7 | 36,5 |
| 1 250  Hz | 115,7 | 36,4 |
| 1 600  Hz | 114,7 | 105,2 |
| 2 000  Hz | 114,7 | 110,3 |
| 2 500  Hz | 115,0 | 110,4 |
| 3 160  Hz | 114,5 | 105,6 |
| 4 000  Hz | 113,1 | 37,2 |
| 5 000  Hz | 112,1 | 37,5 |
| 6 350  Hz | 110,6 | 37,9 |
| 8 000  Hz | 109,6 | 38,4 |
| 10 000  Hz | 108,8 | 39,2 |

Table G7

Coefficients Cbridge
 for structural radiation

|  |  |
| --- | --- |
| Cbridge | |
| Track base | |
| N | L |
| Predominantly concrete or masonry bridges with any trackform | Predominantly steel bridges with ballasted track |
| 1 | 4 |

’

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