Mitigating the toilet flush noise: A psychometric analysis of noise assessment and design of labyrinthine acoustic Meta-absorber for noise mitigation

Sanjay Kumar; Chua Wei Shan; Jie Wei Aow; Heow Pueh Lee

doi:10.1121/10.0007282

Mitigating the toilet flush noise: A psychometric analysis of noise assessment and design of labyrinthine acoustic Meta-absorber for noise mitigation

The Journal of the Acoustical Society of America ◽

10.1121/10.0007282 ◽

2021 ◽

Vol 150 (5) ◽

pp. 3747-3762

Author(s):

Sanjay Kumar ◽

Chua Wei Shan ◽

Jie Wei Aow ◽

Heow Pueh Lee

Keyword(s):

Psychometric Analysis ◽

Noise Mitigation ◽

Noise Assessment

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Reduced Order Modeling Methods for Aviation Noise Estimation

Sustainability ◽

10.3390/su13031120 ◽

2021 ◽

Vol 13 (3) ◽

pp. 1120

Author(s):

Ameya Behere ◽

Dushhyanth Rajaram ◽

Tejas G. Puranik ◽

Michelle Kirby ◽

Dimitri N. Mavris

Keyword(s):

Noise Exposure ◽

Solution Space ◽

Reduced Order Modeling ◽

Sustainable Growth ◽

Assessment Model ◽

Noise Mitigation ◽

Reduced Order ◽

Community Noise ◽

Modeling Methods ◽

Noise Assessment

A key enabler for sustainable growth of aviation is the mitigation of adverse environmental effects. One area of concern is community noise exposure at large hub airports serving growing population centers. Traditionally, community noise exposure is computed using noise contours around airports, which requires knowledge of a large dataset pertaining to the air traffic operations at the airport of interest. Due to the underlying variability in real-world aircraft operations, numerous assumptions need to be made which adversely affect the accuracy of the model. Reduced-Order Modeling (ROM) methods provide a new framework for the retention of a large number of these parameters, thus improving model speed and accuracy. In this work, a proper orthogonal decomposition in conjunction with a response surface methodology-based surrogate model is used to create a rapid noise assessment model. Validation is performed against results obtained from the aviation environmental design tool with quantitative error metrics and visual contour comparisons. Obtained results are encouraging and motivate further work in this area with other ROM methods. ROM based models for noise assessment expand the solution space for noise mitigation strategies which can be evaluated, and therefore can lead to novel solutions which cannot be found with traditional modeling methods.

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