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作 者:丁聪 曾维理 魏文斌 杨爱文 DING Cong;ZENG Wei-li;WEI Wen-bin;YANG Ai-wen(Nanjing University of Aeronautics and Astronautics,Nanjing 211000,China)
出 处:《航空计算技术》2021年第5期130-134,共5页Aeronautical Computing Technique
基 金:国家自然科学基金项目资助(62076126);中央高校基本科研业务费资助(NS2018044)。
摘 要:噪声对机场周边区域的影响已成为一个重要问题,直接影响到机场的发展潜力。飞机噪声模型对噪声的评估、减少、控制、政策制定乃至整个航空业的发展至关重要。概述了如何用噪声指标来描述飞机噪声影响,说明了飞机噪声建模的总体流程和基本原理;对噪声预测模型进行分类,分别介绍了经验模型、物理模型和机器学习模型,并列举了三类模型主要研究成果以及它们各自的特点和应用场景;介绍了机场噪声研究涉及的相关数据及其来源;总结并指出目前噪声预测问题所面临的挑战和未来的发展方向。The impact of noise on the surrounding area of the airport has become an important issue,directly affecting the development potential of the airport.Aircraft noise models are essential for noise assessment,reduction,control,policy making and the development of the entire aviation industry.This article first outlines how to use noise indicators to describe the impact of aircraft noise,and explains the overall process and basic principles of aircraft noise modeling.The noise prediction models are classified into the empirical model,physical model and machine learning model.The main research results of the three types of models and their respective characteristics and application scenarios are listed.Subsequently,the relevant data and sources involved in the airport noise research are described.Finally,it summarizes the challenges faced by the current noise prediction problem and the future development direction.
分 类 号:V355[航空宇航科学与技术—人机与环境工程]
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