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Detecting Shear and Tension Bond Failures in Composite Aircraft Structures

机译:检测复合材料飞机结构中的剪切和拉伸粘结失效

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Composite aircraft structures commonly use bonded joints to adhere the wing and fuselage skins to the wing spars, stringers, ribs, and frames. Unfortunately the bond out-of-plane normal (peel) strength is many orders of magnitude less than the fiber strength of the adjacent laminates. Moreover, the adhesive failure is brittle in nature so that it is difficult to monitor an impending overload or fatigue failure. In order to avoid failures due to interlaminar damage without using high margins of safety, a Structural Health Monitoring (SHM) system can be used. While extensive literature on SHM systems for fiber-driven damage exists, there is no mention of an SHM system that specifically addresses these types of matrix-driven damage. The proposed SHM system spans the acquisition, location, reconstruction, and damage type decision of Acoustic Emission (AE) damage signals. An algorithm is presented to calculate the location of AE damage signals in a laminated composite structure using an over-determined approach to minimize location errors. Also, a novel procedure is presented to simultaneously reconstruct the loading source time series for a recorded damage signal and identify the source type. Parametric studies are presented for both algorithms to gauge their effectiveness under varying levels of noise, number of sensors, material properties and different types of uncertainty. Two experimental studies were undertaken to exercise the SHM algorithm presented in this study. The first experiment models a predominantly single type quasi-static damage case, and the second experiment studies a mixed damage impact case.
机译:复合飞机结构通常使用粘合接头将机翼和机身蒙皮粘附到机翼梁,纵梁,肋骨和框架上。不幸的是,粘结面外法向(剥离)强度比相邻层压板的纤维强度小许多数量级。此外,粘合失效本质上是脆性的,因此难以监测即将发生的过载或疲劳失效。为了避免由于层间损坏而导致的故障而又不使用高安全系数,可以使用结构健康监测(SHM)系统。尽管有大量关于SHM系统对光纤驱动的损坏的文献报道,但没有提及专门针对这些类型的矩阵驱动的损坏的SHM系统。拟议的SHM系统涵盖了声发射(AE)损伤信号的获取,定位,重建和损伤类型判定。提出了一种算法,该算法使用超额确定的方法来计算层压复合结构中AE损伤信号的位置,以最大程度地减小位置误差。此外,提出了一种新颖的过程来同时重建记录的损坏信号的加载源时间序列并识别源类型。提出了针对这两种算法的参数研究,以评估其在变化的噪声水平,传感器数量,材料特性和不同类型的不确定性下的有效性。进行了两项实验研究以行使本研究中介绍的SHM算法。第一个实验模拟一个主要是单一类型的准静态破坏案例,第二个实验研究一个混合破坏影响案例。

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