Neural network meta–modelling for an efficient prediction of propeller array acoustic signature-Reference-Cited by-同舟云学术

Neural network meta–modelling for an efficient prediction of propeller array acoustic signature

Published:2022-11 Issue: Volume:130 Page:107910
ISSN:1270-9638
Container-title:Aerospace Science and Technology
language:en
Short-container-title:Aerospace Science and Technology

Author:

Poggi Caterina,Rossetti Monica^ORCID,Serafini Jacopo^ORCID,Bernardini Giovanni^ORCID,Gennaretti Massimo^ORCID,Iemma Umberto^ORCID

Funder

Horizon 2020

Roma Tre University

Publisher

Elsevier BV

Subject

Aerospace Engineering

Reference60 articles.

1. Flightpath 2050, Europe's Vision for Aviation;EC,2011

2. Commercial Aircraft Propulsion and Energy System Research: Reducing Global Carbon Emissions;National Academies of Sciences, Engineering, and Medicine,2016

3. Environmental Report 2016;ICAO,2016

4. Current engine noise and reduction technology;Nesbitt;CEAS Aeronaut. J.,2019

5. Technological and operational scenarios on aircraft fleet–level towards ATAG and IATA 2050 emission targets;Ploetner,2017

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dynamic characteristics and vibration control of composite laminate wall panels in electric aircraft using NiTi shape memory alloys;Aerospace Science and Technology;2024-12

2. VENUS Project: Numerical and Experimental Investigation on the Aeroacoustics of Distributed Propulsion Configurations;30th AIAA/CEAS Aeroacoustics Conference (2024);2024-05-30

3. A Minimum Objective Function Trim Procedure for VTOL Boundary Layer Trailing Edge Broadband Noise Reduction;30th AIAA/CEAS Aeroacoustics Conference (2024);2024-05-30

4. Boundary Integral Formulation for Sound Scattered by Deformable Bodies;30th AIAA/CEAS Aeroacoustics Conference (2024);2024-05-30

5. Framework for Multi-Fidelity Assessment of Open Rotor Propeller Aeroacoustics;30th AIAA/CEAS Aeroacoustics Conference (2024);2024-05-30