首页> 外文会议>ASME conference on smart materials, adaptive structures and intelligent systems;SMASIS2011 >ACTIVE DETECTION OF STRUCTURAL DAMAGE IN ALUMINUM ALLOY USING MAGNETO-ELASTIC ACTIVE SENSORS (MEAS)
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ACTIVE DETECTION OF STRUCTURAL DAMAGE IN ALUMINUM ALLOY USING MAGNETO-ELASTIC ACTIVE SENSORS (MEAS)

机译:磁弹性主动传感器(MEAS)主动检测铝合金的结构损伤

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Many structural damage detection methods utilize piezoelectric sensois. While these sensors are efficient in supporting many structural health monitoring (SHM) methodologies, there are a few key disadvantages limiting their use. The disadvantages include the brittle nature of piezoceramics and their dependence of diagnostic results on the quality of the adhesive used in bonding the sensors. One viable alternative is the utilization of Magneto-Elastic Active Sensors (MEAS). Instead of mechanically creating elastic waves, MEAS induce eddy currents in the host structure which, along with an applied magnetic field, generate mechanical waves via the Lorentz force interaction. Since elastic waves are generated electro magnetically, MEAS do not require direct bonding to the host structure and its elements are not as fragile as PWAS. This work explores the capability of MEAS to detect damage in aluminum alloy. In particular, methodologies of detecting fatigue cracks in thin plates were explored. Specimens consisted of two identical aluminumplates featuring a machined slot to create a stress riser for crack formation. One specimen was subjected to cyclic fatigue load. MEAS were used to transmit elastic waves of different characteristics in order to explore several SHM methodologies. Experiments have shown that the introduction of fatigue cracks created measurable amplitude changes in the waves passing through the fatigued region of the aluminum plate. The phase indicated sensitivity to load conditions, but manifestation in the cracked region lacked stability. Nonlinear effects were studied using plate thickness resonance, which revealed birefringence due to local stresses at the site of the fatigue crack. The resonance spectrum has also shown a frequency decrease apparently due to stiffness loss. Preliminary results suggest opportunities for fatigue damage detection using MEAS. Application of MEAS for the diagnosis of complex structures is currently being investigated.
机译:许多结构损伤检测方法利用压电传感。尽管这些传感器可以有效地支持许多结构健康监测(SHM)方法,但仍有一些关键缺点限制了它们的使用。缺点包括压电陶瓷的脆性,以及它们对诊断结果的依赖程度取决于用于粘接传感器的粘接剂的质量。一种可行的选择是利用磁弹性有源传感器(MEAS)。 MEAS不会机械地产生弹性波,而是在主体结构中感应出涡流,该涡流与所施加的磁场一起通过洛伦兹力相互作用产生机械波。由于弹性波是电磁产生的,因此MEAS不需要直接结合到主体结构上,并且其元素不像PWAS那样脆弱。这项工作探索了MEAS检测铝合金中损伤的能力。特别是,探索了检测薄板疲劳裂纹的方法。标本由两个相同的铝板组成,其特征是带有一个加工槽,可形成用于裂纹形成的应力上升器。一个样品经受周期性疲劳载荷。为了探索几种SHM方法,MEAS被用来传输不同特性的弹性波。实验表明,疲劳裂纹的引入在穿过铝板疲劳区域的波中产生了可测量的幅度变化。该相表明对载荷条件敏感,但是在裂纹区域的表现缺乏稳定性。使用板厚共振研究了非线性效应,其揭示了由于疲劳裂纹部位的局部应力而产生的双折射。共振谱还显示出频率明显由于刚度损失而降低。初步结果表明使用MEAS检测疲劳损伤的机会。目前正在研究MEAS在复杂结构诊断中的应用。

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