摘要
采用有限差分正演模拟方法,针对基于统计学原理建立的复合材料二维随机孔隙模型,在保持孔隙率不变的前提下,计算了孔隙形状、取向及数量等因素单一变化及孔隙形貌特征多因素随机变化下的超声波衰减系数,并以0.03%~4.62%孔隙率的碳纤维复合材料为例,比较了超声波衰减系数的理论计算结果和实验测试结果。研究表明,孔隙形状(宽长比)、取向和数量均对超声波衰减系数有影响,且孔隙形貌的随机性会引起超声波衰减系数的波动。
Utilizing the finite difference time domain method,the relations among ultrasonic attenuation coefficient and each single morphological factor such as the shape,orientation,amount and distribution,as well as the comprehensive random characteristics of voids were calculated based on the 2-D random void model of composite materials.In addition,comparisons of ultrasonic attenuation coefficients between predicted results and experimental ones were presented for carbon fiber composite specimens with a void content range of 0.03%~4.62%.It is found that,the void shape,orientation,and account all affect ultrasonic attenuation coefficient.Moreover,the random morphology of voids causes fluctuation of the ultrasonic attenuation coefficient.
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2010年第14期1735-1741,共7页
China Mechanical Engineering
基金
国家自然科学基金资助项目(50975042)
关键词
复合材料
孔隙形貌
超声波衰减系数
随机孔隙模型
composite material
void morphology
ultrasonic attenuation coefficient
random void model