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PREDICTION OF PIEZOELECTRIC CONSTANTS OF GLASS FIBER POLYMER COMPOSITES FOR PIEZOELECTIC DAMAGE MONITORING

机译:玻璃纤维聚合物复合材料的压电常数用于压电损伤监测的预测

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摘要

Composite materials became widely used in a various industries (for example aerospace, car, andrnyacht) due to high specific strength, specific modulus and damping characteristic. Compositernmaterials need to ensure structural reliability. So non-destructive damage monitoring forrncomposite materials is very important to enhance their structural reliability and then manyrntechniques such as ultrasonic, electric, tapping, optical fiber and acoustic-emission methods havernbeen studied. But there has some disadvantages, such as limited application to conductivernmaterials and using special sensors. This study is basic research of develop for non-destructiverndamage monitoring system such as glass fiber reinforced polymer composite. The main purposernis development for the prediction equation of piezoelectric property to develop self-sensor typernnon-destructive damage monitoring system using piezoelectric characteristic. Design variablesrnsuch as fiber and matrix types, fiber volume fraction and fiber orientation were considered andrnpiezoelectric constants were measured. Finally, the prediction equations were developed basedrnon experimental data and well-known mechanics of composite materials.
机译:由于高比强度,比模量和阻尼特性,复合材料已广泛用于各种行业(例如,航空航天,汽车和游艇)。复合材料需要确保结构可靠性。因此,对复合材料进行无损损伤监测对于提高其结构可靠性非常重要,因此,人们研究了超声波,电学,攻丝,光纤和声发射方法等多种技术。但是存在一些缺点,例如对导电材料的限制应用和使用特殊的传感器。本研究是开发无损玻璃纤维增​​强聚合物复合材料无损监测系统的基础研究。开发压电特性预测方程的主要目的是开发利用压电特性的自传感器式无损损伤监测系统。设计变量如纤维和基质类型,纤维体积分数和纤维取向被考虑,并测量压电常数。最后,基于非实验数据和复合材料的知名力学,建立了预测方程。

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  • 来源
  • 会议地点 Long Beach CA(CN)
  • 作者

    HuiYun Hwang; SangMin Oh;

  • 作者单位

    Andong National University 1375 Gyeongdong-ro Andong-Si, Gyeonsangbuk-do, 760-749 Rebulic of Korea;

    rnAndong National University 1375 Gyeongdong-ro Andong-Si, Gyeonsangbuk-do, 760-749 Rebulic of Korea;

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