Noise Prediction Models for Elevated Rail Transit Structures

Manning, J. E.; Hyland, D. C.; Fredberg, J. J.; Senapati, N.

doi:10.21949/1527089

i

Noise Prediction Models for Elevated Rail Transit Structures

1975-08-01
By Manning, J. E. ; Hyland, D. C. ; Fredberg, J. J.

File Language:

English

Details

Creators:

Manning, J. E. ; Hyland, D. C. ; Fredberg, J. J. ; Senapati, N.
Corporate Creators:

John A. Volpe National Transportation Systems Center (U.S.)
Corporate Contributors:

United States. Urban Mass Transportation Administration
Subject/TRT Terms:
Publication/ Report Number:

DOT-TSC-UMTA-75-13 ; UMTA-MA-06-0025-75-12
DOI:

https://doi.org/10.21949/1527089
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

United States. Urban Mass Transportation Administration
Abstract:

The report presents the theoretical development of a model for the prediction of noise radiated by elevated structures on rail transit lines. In particular it deals with noise and vibration control for urban rail transit track and elevated noise and vibration control for urban rail transit track and elevated structures. The model allows for the prediction of both the vibration transmission between elements of the structure and the resulting noise radiation from each major structural element, in terms of design parameters for the different elements. Thus the potential effectiveness of various alternative methods for noise control can be evaluated. Results of a field study of three different types of elevated structure on the MBTA Rapid Transit System are also summarized. These results support the validity of the prediction model. The engineering application of the prediction model is discussed in another report.
Format:

PDF
Funding:

DOT-TSC-643
Download URL:

https://rosap.ntl.bts.gov/view/dot/11549/dot_11549_DS1.pdf
File Type:

[PDF - 7.80 MB]
Collection(s):

Volpe Center
Main Document Checksum:

urn:sha256:d27878081c7b9417fab2dc9f47e50e13808eb6eb4e95546a22042a54f20f51d1

File Language:

English

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