Analysis of Noise Reduction on Urban Road Traffic Sound Barrier
In this paper, a scale model of the inverted L type sound barrier was built and acoustic tests of the scale model were completed using the multi-channel noise test and analysis system in noise laboratory. The urban road traffic sound barrier insertion loss at different test positions, different test heights and different frequencies were studied when the wall angle is 45° or 75°. From the analysis, the various conclusions were drawn. Firstly, the smaller the inclination of the sound barrier is meant the higher the equivalent height will be and then the insertion loss is greater. Secondly, the insertion loss of the point which is farther away from the sound barrier is smaller than that of the point which is nearer. Thirdly, for the test points which have the same distances from the sound barrier, the higher the point is meant the bigger the insertion loss will be. Finally, the conclusions provide a high value for the future design of sound barriers.
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Supplemental Notes:
- © 2010 American Society of Civil Engineers.
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Liu, Yan
- Yang, Bing
- Zhang, Xiaopai
- Guo, Jitan
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Conference:
- International Conference of Logistics Engineering and Management (ICLEM) 2010
- Location: Chengdu , China
- Date: 2010-10-8 to 2010-10-10
- Publication Date: 2010-9
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 1613-1618
- Monograph Title: ICLEM 2010: Logistics For Sustained Economic Development: Infrastructure, Information, Integration
Subject/Index Terms
- TRT Terms: Acoustics; Laboratory tests; Noise barriers; Sound barrier; Traffic noise; Urban areas
- Subject Areas: Bridges and other structures; Design; Environment; Highways; I24: Design of Bridges and Retaining Walls;
Filing Info
- Accession Number: 01525858
- Record Type: Publication
- ISBN: 9780784411391
- Files: TRIS, ASCE
- Created Date: Nov 12 2013 1:49PM