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AIRBUS A350XWB Ground Vibration Testing: Efficient techniques for customer oriented on-site modal identification

机译:空中客车A350xWB地面振动检测:以客户为导向的高效技术在现场模态识别

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Ground vibration testing (GVT) of aircraft structures belongs to the most challenging task under the application of experimental modal analysis methods. Besides the size of an aircraft and therefore the required number of sensors, exciters and measurement units, for high demanding industrial programs it is nowadays especially the customer request to conduct the modal test in a very short time period that puts high pressure on the GVT team. This paper describes how state-of-the-art modal analysis techniques are utilised to perform a time efficient GVT campaign using optimised excitation techniques, intelligent signal processing and on-site modal analysis to achieve "real time" high quality experimental modal data. The paper is presented in the context of the ground vibration test on AIRBUS A350XWB MSN1 which was performed shortly before the first flight. The test has been conducted by a transnational GVT team of people from the German Aerospace Center and the Office National d'Etudes et de Recherches Aerospatiales (DLR-ONERA) in the AIRBUS facilities in Toulouse, France, within only 9 measurement days. During the test an LMS Scadas III data acquisition system was used with a distributed architecture of the acquisition units connected by 300 m of optical fibre cables to minimise sensor cable lengths. Overall a number of 530 acceleration signals, 27 force signals, and 33 other signals have been recorded. The structure was excited from 23 locations by mean of 13 electro-dynamic shakers to acquire more than 180 excitation runs mainly with optimised swept-sine signals and occasionally with random signals. For further information, the phase resonance method (PRM) was also applied for few specific modes. The DLR-ONERA processes for ground vibration testing are strongly focusing on phase separation methods (PSM) and are perfectly harmonised for fast and reliable output. On-site modal identification has been performed directly after data acquisition. The identified modal data (overall more than 2600 modes) have been efficiently stored in a novel SQL-database system. Specialised DLR-ONERA software tools for modal model correlation and quality assessment yield the final modal model and indicate non-linear effects on dedicated modes.
机译:在实验模态分析方法的应用下,飞机结构的地面振动测试(GVT)属于最具挑战性的任务。除了飞机的大小,因此,传感器,激励器和测量单位的规模,对于高要求的工业计划,现在是客户要求在非常短的时间段内对GVT团队进行高压进行模态测试。本文介绍了如何利用最先进的模态分析技术使用优化的激励技术,智能信号处理和现场模态分析来执行时间高效的GVT广告系数,以实现“实时”高质量实验模态数据。本文在空中客车A350xWB MSN1的地面振动试验的背景下提出,在第一飞行前不久进行。该测试已由德国航空航天中心的跨国GVT团队进行,办公室D'Etudes et de Recherches Aerospatiales(DLR-Onera)在法国图卢兹的空中客车设施中,仅在9天内。在测试期间,使用300米光纤电缆连接的采集单元的分布式架构使用LMS SCADA III数据采集系统以最小化传感器电缆长度。整体记录了多个530加速度信号,27个力信号和33个其他信号。该结构从23个位置激发了13个电动振动器,以获得超过180个激励,主要用优化的扫地信号和偶尔具有随机信号。出于进一步的信息,还施加了少量特定模式的相位谐振方法(PRM)。用于地面振动测试的DLR-ONERA工艺强烈关注相分离方法(PSM),并完全协调以快速可靠的输出。在数据采集后直接执行现场模态识别。已识别的模态数据(总体超过2600种模式)已经有效地存储在新颖的SQL-Database系统中。用于模态模型相关性和质量评估的专业DLR-ONERA软件工具产生了最终的模型模型,并指示对专用模式的非线性效果。

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