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Defect identification in GRID-LOCK~® joints

机译:识别GRID-LOCK〜®接头中的缺陷

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摘要

Damage detection in aircraft structures is conducted using a variety of nondestructive evaluation (NDE) techniques, including visual inspection, ultrasonic inspection, eddy current inspection, radiography and optical methods. These techniques are well established and have distinct advantages and limitations. Optical NDE methods show significant promise for variety of aerospace structural components, including inspection of bonded metallic GRID-LOCK~® structures. In this paper, a full-field surface slope measurement technique (shearography) is utilized to confirm the effectiveness of optical NDE. Two bond defects (one disbond and one weak bond) are incorporated into a GRID-LOCK~® test structure and internal pressurization results in qualitative indications of damage on the shearograms. Because accurate characterization of structural defects is critical for flight safety, a quantitative nondestructive evaluation (QNDE) method using a scanning optical probe is also explored. This QNDE method involves use of radial basis function networks (RBFNs) trained and validated using finite element analysis nodal displacements.
机译:飞机结构中的损坏检测使用多种无损评估(NDE)技术进行,包括视觉检查,超声检查,涡流检查,射线照相和光学方法。这些技术已经建立并且具有明显的优势和局限性。光学NDE方法对各种航空航天结构部件具有广阔的前景,包括对粘合的金属GRID-LOCK〜®结构的检查。在本文中,采用了全场表面斜率测量技术(剪切成像)来确认光学NDE的有效性。在GRID-LOCK〜®测试结构中结合了两个粘结缺陷(一个断开的粘结和一个弱粘结的粘结),内部加压结果定性地表示了剪切图的损坏。由于结构缺陷的准确表征对于飞行安全至关重要,因此也探索了使用扫描光学探针的定量无损评估(QNDE)方法。这种QNDE方法涉及使用径向基函数网络(RBFN),该网络通过有限元分析节点位移进行训练和验证。

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