Fdtd Calculation of Linear Acoustic Phenomena and Its Application to Architectural Acoustics and Environmental Noise Prediction

2008 ◽  
pp. 459-466 ◽  
Author(s):  
S. Sakamoto
Keyword(s):  
Environmental Noise ◽  
Noise Prediction ◽  
Architectural Acoustics

scholarly journals Environmental Noise Prediction using Scale Model: A Measurement Methodology

2011 ◽  
Vol 4 (2) ◽  
pp. 42-49
Author(s):  
Tae-Min Kim ◽  
Jae-Hyun Han ◽  
Jeung-Tae Kim
Keyword(s):  
Environmental Noise ◽  
Scale Model ◽  
Noise Prediction ◽  
Measurement Methodology

Identification, Prioritization, and Assessment of Urban Quiet Areas

2018 ◽  
pp. 150-180 ◽  
Author(s):  
Aggelos Tsaligopoulos ◽  
Chris Economou ◽  
Yiannis G. Matsinos
Keyword(s):  
Quality Of Life ◽  
Urban Growth ◽  
Environmental Noise ◽  
Urban Setting ◽  
Noise Prediction ◽  
Noise Mapping ◽  
Noise Measurements ◽  
North Aegean

Urban growth retains a bipolar dissension regarding quality of life as it is both deleterious and beneficial for urban dwellers. Environmental noise could be considered a byproduct of growth, and according to numerus studies, it should not be ignored. The small urban setting of Mytilene located in the island of Lesvos (North Aegean, Greece) was the case study of this research. By implementing a novel protocol, the potential Quiet Areas of Mytilene were highlighted. The methodology consisted of noise measurements, soundscape recordings, and strategic noise mapping using the CadnaA noise prediction software. Furthermore, several soundwalks were conducted with the scope to obtain the citizen perspective regarding Quiet Area management. The way that city inhabitants perceive their acoustic surroundings could determine the character of the landscape along with the quality of the soundscape and define the meaning of quietness, which still remains vague.

Noise prediction and environmental noise capacity for urban traffic of Mumbai

2022 ◽  
Vol 188 ◽  
pp. 108516
Author(s):  
Arti Roshan Soni ◽  
Ketan Makde ◽  
Kumar Amrit ◽  
Ritesh Vijay ◽  
Rakesh Kumar
Keyword(s):  
Environmental Noise ◽  
Urban Traffic ◽  
Noise Prediction

scholarly journals A Bayesian Method for Model Selection in Environmental Noise Prediction

2016 ◽  
Author(s):  
L. Martín-Fernández ◽  
◽  
D. P. Ruiz ◽  
A. J. Torija ◽  
J. Míguez ◽  
...  
Keyword(s):  
Model Selection ◽  
Bayesian Method ◽  
Environmental Noise ◽  
Noise Prediction

scholarly journals Visualization of sound fields for architectural acoustics and environmental noise control

2007 ◽  
Vol 27 (104) ◽  
pp. 19-25_1
Author(s):  
Shinichi SAKAMOTO ◽  
Fumiaki SATOH ◽  
Hiroo YANO ◽  
Hideki TACHIBANA
Keyword(s):  
Noise Control ◽  
Environmental Noise ◽  
Architectural Acoustics ◽  
Sound Fields

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.

Road Traffic Noise Prediction Model

2012 ◽  
Vol 3 (4) ◽  
pp. 110-112
Author(s):  
Rahul Singh ◽  
◽  
Parveen Bawa ◽  
Ranjan Kumar Thakur
Keyword(s):  
Prediction Model ◽  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Noise Prediction

Acoustic Distance Measurement Using Complex ICA as Pre-processing for Adjacent 3ch Observations under Environmental Noise

2021 ◽  
Vol 141 (1) ◽  
pp. 61-67
Author(s):  
Hajime Tai ◽  
Toshihiro Shinohara ◽  
Tetsuji Uebo ◽  
Noboru Nakasako
Keyword(s):  
Environmental Noise ◽  
Distance Measurement

Decision Feedback Equalizer with Frequency Domain Bidirectional Noise Prediction for MIMO-SCFDE System

2017 ◽  
Vol E100.B (3) ◽  
pp. 433-439 ◽  
Author(s):  
Zedong XIE ◽  
Xihong CHEN ◽  
Xiaopeng LIU ◽  
Lunsheng XUE ◽  
Yu ZHAO
Keyword(s):  
Frequency Domain ◽  
Decision Feedback ◽  
Decision Feedback Equalizer ◽  
Noise Prediction
Sign in / Sign up

Export Citation Format

Share Document