| Title | Reduced Order Modeling Methods for Aviation Noise Estimation |
|---|---|
| Record ID | 81607 |
| Personal Name Creator |
Behere, Ameya; Rajaram, Dushhyanth; Puranik, Tejas G.; Kirby, Michelle; Mavris, Dimitri |
| Corporate Creator | United States. Department of Transportation. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment; Georgia Institute of Technology. Aerospace and Transportation Laboratory |
| Corporate Contributor |
United States. Department of Transportation. Federal Aviation Administration. Office of Environment and Energy |
| Publisher | MDPI |
| Publication Date | 20210100 |
| Language | English |
| Abstract | 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. |
| Public Note | This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| Rosap ID | dot:56848 |
| Rosap URL | https://rosap.ntl.bts.gov/view/dot/56848 |
| TRT Terms | Air transportation; Aircraft noise; Airports; Environmental impacts; Noise; Methodology |
| General Subjects | reduced order modeling; community noise; ASCENT |
| Geographical Coverage |
United States |
| TRIS Online Accession No |
1779818 |
| Contract Number | 13-C-AJFE-GT-054 |
| Report Number | 10.3390/su13031120 |
| Resource type | Journal Article |
| URL | https://ntlrepository.blob.core.windows.net/lib/81000/81600/81607/54-sustainability-13-01120_pub.pdf |
| Format | |
| Database | NTL Digital Repository |