scholarly journals The Analysis of Low Noise Protection Barriers Influence on Tram Traffic Noise Levels

2013 ◽  
Vol 2 (1) ◽  
pp. 1-9
Author(s):  
Maja Ahac ◽  
Stjepan Lakušić ◽  
Saša Ahac ◽  
Vesna Dragčević
Keyword(s):  
Traffic Noise ◽  
Prediction Method ◽  
Field Measurements ◽  
Low Noise ◽  
Capital City ◽  
Noise Prediction ◽  
Residential Areas ◽  
Noise Mitigation ◽  
Protection Measure ◽  
Noise Models

Abstract The paper describes the analysis of tram traffic noise situation in residential areas in the vicinity of Drzic Avenue, one of the major routes between the northern and southern part of the Croatian capital city Zagreb, and the effect of low barriers placed by the tracks on tram noise mitigation. In order to evaluate the effect of planned protection measure, noise models were produced and verified with short-term field measurements. Calculations were conducted by means of noise prediction software, using European interim noise prediction method and 3D model of analyzed area. Finally, the results of noise calculations for existing tram traffic situation and planned measure of protection are presented on noise maps.

Study of the road traffic noise prediction method applicable to low-noise road surfaces

2010 ◽  
Vol 31 (1) ◽  
pp. 102-112 ◽  
Author(s):  
Keisuke Tsukui ◽  
Yasuo Oshino ◽  
Gijsjan van Blokland ◽  
Hideki Tachibana
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Prediction Method ◽  
Low Noise ◽  
Road Traffic Noise ◽  
Noise Prediction ◽  
The Road ◽  
Road Surfaces

Noise Prediction Model Development for the Traffic Noise on Asphalt Rubber Roads

2006 ◽  
Author(s):  
Punnamee Sachakamol ◽  
Liming Dai
Keyword(s):  
Prediction Model ◽  
Prediction Models ◽  
Traffic Noise ◽  
Model Development ◽  
Prediction Method ◽  
Noise Prediction ◽  
Horizontal Distance ◽  
Simulation And Modeling ◽  
Noise Mitigation ◽  
Asphalt Rubber

Traffic noise prediction techniques are important tools for assessing the effects of noise mitigation. A number of noise prediction models are available for predicting noise levels at a receptor point. Traditionally, these noise predictions are limited to road side areas, where the effects of building and other infrastructure act as a barrier impediment to noise propagation are not considered. This paper describes the application of simulation and modeling of a simplified traffic noise prediction method based on the U.S. FWHA highway and existing traffic noise prediction models. The simplification has been achieved mainly by using the assumption that traffic flow speeds of various vehicle classes are correlated and similar in magnitude Also, an assumption is made that ground attenuation depends not only on the type of ground cover but also on a horizontal distance between the source and the receiver. Finally, the research intends to numerically evaluate the tire-pavement noise of the road with Asphalt Rubber (AR) pavement to minimize the traffic noise generated by the pavement. The application of simulation and modeling by packaged software will be introduced for utilizing the results, planning purposes and preliminary prediction of the traffic noise level on the AR pavement road section in Saskatchewan. This traffic noise prediction model will be simple to use by any end users, particularly environmental planners, acoustic engineers, and non-specialists.

A Theoretically Based Valve Noise Prediction Method for Compressible Fluids

1986 ◽  
Vol 108 (3) ◽  
pp. 329-338 ◽  
Author(s):  
G. Reethof ◽  
W. C. Ward
Keyword(s):  
Transmission Loss ◽  
Prediction Method ◽  
Low Noise ◽  
Compressible Fluids ◽  
Noise Prediction ◽  
Duct Acoustics ◽  
Proper Design ◽  
Predicted Values ◽  
Mode Generation ◽  
Wide Pressure

Noise generated by control valves in power generation, chemical and petrochemical plants must be predictable so that proper design measures can be taken to conform to OSHA’s noise regulation. Currently available noise prediction methods are empirically based and not sufficiently accurate. The method proposed is based on jet noise theory for both subcritical and choked conditions, duct acoustics theory in terms of higher order mode generation and propagation, and the theory of acoustics-structure interaction in the development of the transmission loss values for the pipe. One third octave values are calculated over the audio spectrum by incorporating spectral aspects of noise generation, propagation, transmission, and radiation. The predicted values of noise for several size cage globe valves over wide pressure ranges compare well with measured results by two prominent valve manufacturers. The method, at present, is restricted to conventional valve styles, as opposed to the special low noise valve types with their very complicated orificial elements.

A traffic noise prediction method based on vehicle composition using genetic algorithms

2005 ◽  
Vol 66 (7) ◽  
pp. 799-809 ◽  
Author(s):  
Ö. Gündoğdu ◽  
M. Gökdağ ◽  
F. Yüksel
Keyword(s):  
Genetic Algorithms ◽  
Traffic Noise ◽  
Prediction Method ◽  
Noise Prediction

scholarly journals Statistical and semi-dynamical road traffic noise models comparison with field measurements

2018 ◽  
Author(s):  
Claudio Guarnaccia ◽  
Jorge Bandeira ◽  
Margarida C. Coelho ◽  
Paulo Fernandes ◽  
João Teixeira ◽  
...  
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Field Measurements ◽  
Road Traffic Noise ◽  
Models Comparison ◽  
Noise Models

Assessing traffic noise in teh City of Sharjah using prediction models

2021 ◽  
Vol 263 (2) ◽  
pp. 4520-4525
Author(s):  
Hussein Elmehdi
Keyword(s):  
Mathematical Models ◽  
Prediction Models ◽  
Acoustic Noise ◽  
Traffic Noise ◽  
Field Measurements ◽  
Linear Regression Models ◽  
Residential Areas ◽  
Noise Levels ◽  
Mixed Composition ◽  
Sound Levels

Noise originated from traffic on inner-city roads has been recognized as a major issue that has negative effects that go beyond annoyance and adverse health effects on people living near such roads. In this paper, we report the results of employing mathematical models for assessing traffic noise levels near roads in the City of Sharjah, UAE. Our field measurements indicated high noise levels near inter-city roads including roads in residential areas. To further investigate this, measured noise levels arising from principle traffic noise parameters were re-examined using published mathematical models with the objective of validating the acoustic noise levels generated by traffic noise of mixed composition, traffic flow rate and distance from the source. The main sound levels, namely the statistical equivalent sound levels (Leq): L10, L50 and L90 were used in the mathematical predictive models, to calculate the day time sound levels and correlated it with in situ measurements. We have examined 10 linear regression models, reported in the literature, five of which were found to provide strong correlation and were validated for predicting noise arising from traffic. The models are recommended for calculating mixed traffic noise levels and its effects on people living near these inter-city roads.

A novel traffic-noise prediction method for non-straight roads

2012 ◽  
Vol 73 (3) ◽  
pp. 276-280 ◽  
Author(s):  
Jianqiang Zhao ◽  
Xiaoning Zhang ◽  
Ying Chen
Keyword(s):  
Traffic Noise ◽  
Prediction Method ◽  
Noise Prediction

Selection of a leading edge noise prediction method for PNoise

2018 ◽  
pp. 214-223
Author(s):  
AM Faria ◽  
MM Pimenta ◽  
JY Saab Jr. ◽  
S Rodriguez
Keyword(s):  
Wind Turbine ◽  
Turbine Blades ◽  
Prediction Method ◽  
Leading Edge ◽  
Wind Farms ◽  
Broadband Noise ◽  
Turbulence Energy ◽  
Noise Prediction ◽  
Migration Routes ◽  
Turbulent Inflow

Wind energy expansion is worldwide followed by various limitations, i.e. land availability, the NIMBY (not in my backyard) attitude, interference on birds migration routes and so on. This undeniable expansion is pushing wind farms near populated areas throughout the years, where noise regulation is more stringent. That demands solutions for the wind turbine (WT) industry, in order to produce quieter WT units. Focusing in the subject of airfoil noise prediction, it can help the assessment and design of quieter wind turbine blades. Considering the airfoil noise as a composition of many sound sources, and in light of the fact that the main noise production mechanisms are the airfoil self-noise and the turbulent inflow (TI) noise, this work is concentrated on the latter. TI noise is classified as an interaction noise, produced by the turbulent inflow, incident on the airfoil leading edge (LE). Theoretical and semi-empirical methods for the TI noise prediction are already available, based on Amiet’s broadband noise theory. Analysis of many TI noise prediction methods is provided by this work in the literature review, as well as the turbulence energy spectrum modeling. This is then followed by comparison of the most reliable TI noise methodologies, qualitatively and quantitatively, with the error estimation, compared to the Ffowcs Williams-Hawkings solution for computational aeroacoustics. Basis for integration of airfoil inflow noise prediction into a wind turbine noise prediction code is the final goal of this work.

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