scholarly journals Reduced Order Modeling Methods for Aviation Noise Estimation

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.

Design of Hybrid Airfoils for Icing Tunnel Tests Based on Reduced-Order Modeling Methods

2021 ◽  
pp. 1-14
Author(s):  
Soonho Shon ◽  
Yu-Eop Kang ◽  
Yoonpyo Hong ◽  
Kwanjung Yee ◽  
R. S. Myong
Keyword(s):  
Reduced Order Modeling ◽  
Reduced Order ◽  
Modeling Methods

Optimization of Takeoff Departure Procedures for Airport Noise Mitigation

2021 ◽  
pp. 036119812110049
Author(s):  
Ameya Behere ◽  
Dimitri N. Mavris
Keyword(s):  
Fuel Consumption ◽  
Noise Exposure ◽  
Weather Condition ◽  
Weather Conditions ◽  
Federal Aviation Administration ◽  
Sustainable Growth ◽  
Mitigation Strategies ◽  
Civil Aviation ◽  
Noise Mitigation ◽  
Noise Metrics

The environmental effects of aviation, particularly community noise exposure, is one of the major barriers to a sustainable growth in passenger air traffic. With an increasing number of aircraft operations and growing urban population, several major airports around the world have implemented various noise mitigation strategies. One such mitigation strategy is to optimize the departure procedures utilized by aircraft for performing takeoff operations. Present-day noise abatement departure procedures are developed by airlines under the guidance of the International Civil Aviation Organization and regulatory entities such as the Federal Aviation Administration. These procedures are generally limited to two per aircraft type and are therefore developed for averaged flight conditions. A generic methodology has been developed here which accounts for external parameters, such as the elevation and weather conditions at the departure airport, and aims to design optimal departure procedures per set of external conditions. By retaining these variables in the procedure design process, their influence on various metrics of interest can be studied. A case study is performed using three different airports each at a standard day and a hot day weather condition. Noise metrics are evaluated at four locations relative to the runway. Fuel consumption is also calculated to account for airline operating costs. The results show that the optimality of a procedure is sensitive on both external factors, as well as metrics being evaluated. While some noise metrics require a tradeoff with fuel consumption over a set of pareto optimal solutions, at certain locations, the two are optimized simultaneously by a single procedure.

scholarly journals Subspace-Based Reduced-Order Modeling Methods for Structural Dynamic Systems

PAMM ◽  
2016 ◽  
Vol 16 (1) ◽  
pp. 245-246
Author(s):  
Stefanie Tegtmeyer ◽  
Udo Nackenhorst
Keyword(s):  
Dynamic Systems ◽  
Reduced Order Modeling ◽  
Structural Dynamic ◽  
Reduced Order ◽  
Modeling Methods

scholarly journals Traffic-Noise Assessment at Rush Hours in Quetta City

2020 ◽  
pp. 50-56
Keyword(s):  
Health Care ◽  
Noise Level ◽  
Noise Exposure ◽  
Traffic Noise ◽  
Sound Level ◽  
Mitigation Strategies ◽  
Noise Levels ◽  
Contributing Factors ◽  
Community Noise ◽  
Noise Assessment

Noise is an environmental stressor, which leads to various ailments due to the physiological and psychological stresses it creates. It is essential to understand and evaluate the contributing factors of environmental noise, especially in densely polluted areas near major roads, railways and airports, for public health policy and planning. Noise level measurement permits precise and scientific analysis of noise annoyance, and therefore, this study aimed to determine the average noise levels of Quetta city. Seventy-three (73) location’s equivalent noise levels (Leq) were measured at peak rush hours for three consecutive days. Selected areas for measurement included health care centres, educational centres, government offices, public places, residential and commercial areas. All the selected sites were located near to main roads, where the traffic noise was the most prominent noise source. Noise was measured through calibrated microprocessor sound level meter. The results were computed by taking the mean of the three readings. The results showed 74 dBA as average noise level of Quetta city. It has been found that 90% of the selected locations in Quetta city exceeded the 65dBA, while 10 % of the total locations ranged between 55 to 65 dBA. The average noise exposure of the Quetta city was greater than the permissible international noise standard. This study identified the main traffic hubs of Quetta city, which requires mitigation strategies by the policy makers specifically for Health care and Educational sectors. It also requires adequate updated plans for community noise survey and ordinance.

Non-intrusive reduced-order modeling for fluid problems: A brief review

2019 ◽  
Vol 233 (16) ◽  
pp. 5896-5912 ◽  
Author(s):  
Jian Yu ◽  
Chao Yan ◽  
Mengwu Guo
Keyword(s):  
Rapid Development ◽  
Solution Space ◽  
Reduced Order Modeling ◽  
Sampling Strategies ◽  
Reduced Order ◽  
Analysis And Design ◽  
Flow Problems ◽  
Tremendous Progress ◽  
Numerical Tools ◽  
Key Aspects

Despite tremendous progress seen in the computational fluid dynamics community for the past few decades, numerical tools are still too slow for the simulation of practical flow problems, consuming thousands or even millions of computational core-hours. To enable feasible multi-disciplinary analysis and design, the numerical techniques need to be accelerated by orders of magnitude. Reduced-order modeling has been considered one promising approach for such purposes. Recently, non-intrusive reduced-order modeling has drawn great interest in the scientific computing community due to its flexibility and efficiency and undergoes rapid development at present with different approaches emerging from various perspectives. In this paper, a brief review of non-intrusive reduced-order modeling in the context of fluid problems is performed involving three key aspects: i.e. dimension reduction of the solution space, surrogate models, and sampling strategies. Furthermore, non-intrusive reduced-order modelings regarding to some interesting topics such as unsteady flows, shock-dominating flows are also discussed. Finally, discussions on future development of non-intrusive reduced-order modeling for fluid problems are presented.

Sign in / Sign up

Export Citation Format

Share Document