智能材料与结构及其在智能飞行器中的应用  被引量:5

Smart Materials and Structures and Their Applications on Smart Aircraft

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作  者:裘进浩[1] 季宏丽[1] 徐志伟[1] 张超[1] 陶翀骢 QIU Jinhao;JI Hongli;XU Zhiwei;ZHANG Chao;TAO Chongcong(Laboratory of Smart Materials,Structures&Applications,State Key Laboratory of Mechanics and Control of Mechanical Structures,Nanjing University of Aeronautics&Astronautics,Nanjing 210016,China)

机构地区:[1]南京航空航天大学机械结构力学及控制国家重点实验室,智能材料与结构研究所,南京210016

出  处:《南京航空航天大学学报》2022年第5期867-888,共22页Journal of Nanjing University of Aeronautics & Astronautics

摘  要:为了满足民用和军事领域对智能飞行器日益增长的需求,在承载、连接等功能的基础上,具有自诊断、自适应、自控制、自修复等“智能功能”的智能结构应运而生。这一技术的出现显著地推动了航空领域的发展,如利用形状记忆合金作为驱动器驱动指定结构变形可以改变飞行器气动性能,而利用压电材料作为传感器和驱动器对结构进行健康监测和振动噪声控制是当前智能结构研究的重要方向。以此为背景,介绍了南京航空航天大学智能结构研究团队近十年来在智能结构方面的研究进展,以期为智能结构技术的发展与创新提供可以借鉴的思路。In order to meet the growing demands of smart aircraft in both civil and military industries,smart structures that are capable of self-diagnostic,self-adaptive,self-control,self-healing in addition to load bearings are developed.Those new types of structures also propel new developments in aerospacing industries,e.g.,shape memory alloys are used to drive morphing structures to improve the flight performance of advanced air vehicles,and piezoelectric materials act as both sensors and actuators for structural health monitoring and vibration/noise control.In the context of those novel technologies,this article introduces the newest research development of the Laboratory of Smart Materials,Structures&Applications of Nanjing University of Aeronautics and Astronautics to potentially offer insights for the future development of smart materials and structures.

关 键 词:智能结构 形状记忆合金 压电材料 结构健康监测 振动与噪声控制 无损检测与寿命预测 

分 类 号:TB381[一般工业技术—材料科学与工程]

 

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