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A NEW STRUCTURAL HEALTH MONITORING (SHM) SYSTEM USING AN INTEGRATED PVDF TRANSDUCER NETWORK

机译:使用集成的PVDF传感器网络的新型结构健康监测(SHM)系统

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The problem of material monitoring on composite structures can be solved with a set of methods developed during the recent years, especially in the aerospace field. The current project aims to develop a robust, effective and low-cost system combining an integrated network of transducers. Several elements compose the whole system, namely an optimized integrated transducer network, an identification algorithm, a numerical finite element (FE) model, a frequency model and a modal model of the structure. The core physical principle the system is based on takes advantage of the quadratic relation between structural stiffness and natural frequencies. The evolution of stiffness can be recorded as a structural ageing pattern or a local damage, which is one of the main structural health monitoring (SHM) objectives. In this particular case, a prototype system has been developed using a polyvinylidene difluoride (PVDF) patch transducers network, with a data acquisition and handling system managed by a computer or a similar device. The software includes a MATLAB code performing the signal acquisition and the modal extraction, necessary to obtain the natural frequencies, through Operational Modal Analysis (OMA). Complementary tools as the transducer placement optimizer and a material characterizing program are also included as a part of the system. Basically, using only random unknown excitation sources (e.g. like wind) widely present in nature, this SHM system is able to extract information about the state of the structure. The power of the tool is evident when even any natural excitation source is absent or insufficient, the transducer network itself can actuate in order to simulate the excitation and so study the structure. One of the main industrial applications of such a system is the technical support that can be delivered by an integrated light transducer network in large full-scale composite structures, such as the new-generation commercial airliners B787 and A350, of which most of the dry weight is composed by certified carbon fibre reinforced plastics (CFRP). This system can be expanded to other aerospace industrial applications, or even purely scientific applications, in the frame of aero-space testing and certification of novel materials submitted to highly demanding environments, such as the high atmosphere or the outer space.
机译:可以通过近年来开发的一系列方法来解决复合结构上的材料监视问题,特别是在航空航天领域。当前项目旨在开发结合了传感器集成网络的强大,有效且低成本的系统。整个系统由几个元素组成,即优化的集成换能器网络,识别算法,数值有限元(FE)模型,频率模型和结构的模态模型。系统所基于的核心物理原理利用了结构刚度和固有频率之间的二次关系。刚度的演变可以记录为结构老化模式或局部损坏,这是主要的结构健康监测(SHM)目标之一。在这种特殊情况下,已经开发了使用聚偏二氟乙烯(PVDF)贴片换能器网络的原型系统,其数据采集和处理系统由计算机或类似设备管理。该软件包括一个MATLAB代码,该代码通过操作模态分析(OMA)来执行获取自然频率所必需的信号采集和模态提取。该系统的一部分还包括作为换能器放置优化器的辅助工具和材料表征程序。基本上,仅使用自然界中广泛存在的随机未知激发源(例如风),此SHM系统就能够提取有关结构状态的信息。当甚至没有或没有任何自然激发源时,工具的力量就显而易见,换能器网络本身也可以启动以模拟激发并研究结构。这种系统的主要工业应用之一是可以通过集成的光传感器网络在大型的全尺寸复合结构中提供技术支持,例如新一代商用客机B787和A350,其中大多数是干式飞机。重量由认证的碳纤维增强塑料(CFRP)组成。在航空测试和提交给高要求环境(例如高大气层或外层空间)的新型材料的航空航天测试和认证的框架中,该系统可以扩展到其他航空航天工业应用甚至纯科学应用。

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