Abstract
AbstractThe present work deals with the multiobjective, multidisciplinary optimisation of takeoff and approach operations of a commercial aircraft aimed at the mitigation of the impact of aviation noise on the population. The innovative approach used here couples the minimisation of the aircraft noise level at the certification points with the improvement of the sound quality. The latter objective represents the main novelty of the present work and is addressed using a spectral–matching approach to make the aircraft noise as close as possible to a target sound. The rationale underlying the research is the development of a community–oriented approach to the assessment airport operations in view of the complete redefinition of the future airport scenarios. Indeed, the air traffic growth, the rapid expansion of urban areas around airports, and the expected advent of urban air mobility, are transforming the aviation noise into a serious hazard to the sustainable development of society. The sound–quality–based objective imposes a comprehensive multidisciplinary approach also in the procedural optimisation, due to the detail required to estimate the noise spectrum composition. Two merit factors are minimised, specifically the EPNL at the noise certification points and theLp–norm of the difference between the noise produced by the configuration under analysis and a target sound. The target sounds are obtained by using sound engineering techniques aimed at the sound quality improvement, on the basis of the results of the psychometric tests campaigns performed within the projects SEFA and COSMA. The minimisation is achieved adopting a global evolution method, and the results are presented in terms of approximated Pareto frontiers for a single–aisle aircraft in both takeoff and landing conditions.
Highlights
The rapid expansion of urban areas close to the airport facilities and the increase in air traffic in terms of daily movements are making the community noise problem a crucial aspect in the context of civil aviation sustainable development
The target sounds are obtained by using sound engineering techniques aimed at the sound quality improvement, on the basis of the results of the psychometric tests campaigns performed within the projects SEFA and COSMA
The work presented in this paper is the evolution in a multiobjective context of the achievements of the projects SEFA (Sound Engineering For Aircraft, FP6, 2004–2007 [1]) and COSMA (Community Noise Solutions to Minimise aircraft noise Annoyance, FP7, 2009–2012 [2]), and is developed within the framework of the ANIMA project (Aviation Noise Impact Management through Novel Approaches, H2020, 2017–ongoing [3])
Summary
The rapid expansion of urban areas close to the airport facilities and the increase in air traffic in terms of daily movements are making the community noise problem a crucial aspect in the context of civil aviation sustainable development. Each scenario allowed the deep investigation on the potential benefits related to specific improvements, in terms of aircraft design or change in flight paths, related to the annoyance To this aim, several multiobjective optimisation campaigns have been performed [7, 6] to propose novel manoeuvres sequences for both departure and approach procedures, aimed at the simultaneous abatement of chemical and noise pollution as well as the noise annoyance. Industries, SMEs, RTOs, universities, airports and local authorities from 11 countries join forces to establish a joint strategic research roadmap for the aviation noise reduction challenges In such a context, the present work is being pursued to extend the results obtained in SEFA and COSMA, satisfying the needs of the ANIMA project. Appendix A provides details on the MCRDO framework FRIDA, used for the optimisation problems presented here, whereas in appendix B and appendix C are reported the computation methods for the objective functions under consideration
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