Evaluation of uncertainty by ultrasonic testing for composite structures
-
摘要: 超声检测技术对缺陷的定位和定量检测有高准确性和高可靠性,其已在复合材料结构的检测领域得到十分广泛的应用。为了评定检测结果的质量,需要对复合材料结构超声检测的不确定度进行评定,以表征检测结果的可信度。基于超声反射法对碳纤维增强复合材料检测试块中不同尺寸的平底孔缺陷进行定量检测,采用底波幅值衰减6 dB的方法对缺陷边界进行标定,得到检出缺陷的尺寸,建立了不确定度传递的数学模型,分析了对检测结果产生影响的因素,包括试块、扫查方法、设备参数以及检测重复性等,给出了复合材料结构超声检测的不确定度评定结果。Abstract: Ultrasonic testing (UT) has been proven to be a high-accuracy and high-reliability Nondestructive testing (NDT) method for determining defect in composite structures, such as its size, location, depth etc. While enjoying widespread application, UT is now considered to be interpreted from the view point of uncertainty. This paper aims to evaluate the uncertainty in UT quantitative assessments for composites defect size. Ultrasonic pulse-echo method was performed on composite test block made of CFRP with flat-bottom holes of different diameters. The geometry of defect was determined by referring to bottom signal amplitude, which would attenuate by 6 dB. Various factors, including the test block, scanning method, instrument parameters, as well as the repeatability, have been taken into consideration. This paper also covers the methods and steps of the evaluation of uncertainty in defect determination by UT.
-
Keywords:
- uncertainty /
- composite structure /
- ultrasonic testing /
- defect
-
-
[1] 张小海,李坚.材料无损检测中的测量不确定度评定[J].南昌航空工业学院学报(自然科学版),2005(3):28-31. [2] 吴益文,李文涛,华沂.复合材料-巴氏硬度测量不确定度分析与评定[J].玻璃钢/复合材料,2010(4):42-45. [3] JJF 1059-2012测量不确定度评定与表示[S]. [4] JJF 1001-2011通用计量术语及定义[S]. [5] 卢伟.薄壁管涡流检测的不确定度评定[J].无损检测,2018,40(6):47-51. [6] 王海岭.超声波探伤不确定度的评定[J].无损检测,2005,27(2):65-67. [7] 董政, 史朝刚, 刘晓磊, 等. 超声波探伤不确定度评定[J]. 物理测试, 2017, 35(6): 54-57. [8] 刘松平,刘菲菲,傅天航,等.复合材料结构中R区超声反射信号特征及其检测应用[J].无损检测,2016,38(12):1-5,64. [9] 章清乐,李宏.复合材料气瓶超声穿透C扫描检测技术[J].玻璃钢/复合材料,2012(4):121-123. [10] 史俊伟,刘松平,程文礼.复合材料蜂窝夹层结构制件的超声可视化无损检测[J].无损检测,2015,37(3):39-43,46. [11] 刘松平,郭恩明,张谦琳,等.复合材料深度方向超声C扫描检测技术[J].无损检测,2001,23(1):13-15. [12] ANGELIKA W, KRZYSZTOF D, KRZYSZTOF L. Assessment of uncertainty in damage evaluation by ultrasonic testing of composite structures[J]. Composite Structures, 2018, 203: 71-84.
[13] ANIS B A, FRÉDÉRIC J, PIERRE C. Quantifying uncertainty in parameter estimates of ultrasonic inspection system using Bayesian computational framework[J]. Mechanical Systems and Signal Processing, 2018, 109: 89-110.
计量
- 文章访问数: 9
- HTML全文浏览量: 0
- PDF下载量: 6