Railway Rolling Noise Prediction Software: Barrier Function

Ngah, Faizzuddin (2013). Railway Rolling Noise Prediction Software: Barrier Function Honours Thesis, School of Engineering, The University of Queensland.

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads
Ngah_Faizzuddin_Thesis.pdf Full Text application/pdf 2.37MB 0
Author Ngah, Faizzuddin
Thesis Title Railway Rolling Noise Prediction Software: Barrier Function
School, Centre or Institute School of Engineering
Institution The University of Queensland
Publication date 2013
Thesis type Honours Thesis
Supervisor Paul Meehan
Total pages 35
Language eng
Subjects 0913 Mechanical Engineering
Formatted abstract
Railway noise has become significant issue to Railway Company. Due to increasing population of people and changing social status turn peoples become sensitive toward environmental noise. They have become very selective about the level of noise in certain area. As the railway noise is considered as the Environmental Harm to the human health quality, it is proper choice for the people in selecting environment with low disturbance level as the place to live. As the result, the railway companies need to find a way to fulfil the needs of people in term of quiet environment. CRC for Rail Innovation has offered to build a simulation of noise produced by the train.

The aim of this thesis is to innovate the Railways Rolling Noise Prediction Software (RRNPS) in term of adding the new function. The function that been decided on to be added in the software is adding the function on effect of barrier on sound pressure level (SPL). As the result, new function has been added to the software that affect the SPL distribution graphs due to the barrier corrections.
Keyword Barrier Function

Document type: Thesis
Collection: UQ Theses (non-RHD) - UQ staff and students only
Citation counts: Google Scholar Search Google Scholar
Created: Fri, 04 Dec 2015, 15:26:08 EST by Asma Asrar Qureshi on behalf of Scholarly Communication and Digitisation Service