Discrete damage modelling of impacted composites using enhanced ultrasonic inspection data

2022 ◽  
Author(s):  
Mathew Joosten ◽  
Lachlan J. Webb ◽  
Matthew Ibrahim ◽  
Kevin H. Hoos ◽  
Daniel Rapking ◽  
...  
Author(s):  
Qingshan Feng ◽  
Yi-Han Lin ◽  
Fuxiang Wang ◽  
Bin Li

The spiral welded defect of steel oil transmission pipeline is one of the main causes resulting in pipeline leakage accident. Hence the failure assessment for known-size spiral welded defects is an important step to ensure the safety of defected pipeline. Lack of suitable criterion for assessing the spiral welded manufacture defects of pipeline network in China, is a difficult technology problem to be solved desirably. This paper first summarized the basic idea of preliminary failure assessment (Grade 1A of code BS 7910:2005) with some insight of our own understanding, and then applied the preliminary failure assessment to the spiral welded defects of oil pipeline, with the use of ultrasonic inspection data of Daqing-Tieling old pipeline from LingYuan to XinMiao, Northeastern China. The calculation of both fracture and plastic collapse failure for spiral welded defects indicates some detected flaws of pipeline are not safe as the internal pressure is greater than 4.5 MPa. A leakage accident of spiral welded pipeline in Western China is also assessed through fractography analyses and failure calculations. This paper concludes that the preliminary failure assessment provides useful outcome for reference in making decision of inspection, integrity assessment and repair of spiral welded pipeline, and hence is a step of fundamental importance and practical significance before more accurate data becomes available for higher grade assessment.


Author(s):  
Wei Zhang ◽  
Xinyan Wang ◽  
Xuefei Guan

Abstract This study presents a method of ultrasonic flaw identification using phased array ultrasonic inspection data. Raw data from each individual channel of the phased array ultrasonic inspection are obtained. The data trimming and de-noising are employed to retain the data within the boundary of the inspected object and remove the speckle noise components from the raw data, respectively. The resulting data are passed into a sequence of signal processing operations to identify embedded flaws. A shape-based filtering method is proposed to reduce the intensity of geometric noise components due to the non-uniform microstructures introduced in the manufacturing process. The resulting data matrices are integrated to obtain the intensity matrix of the possible flaw regions. Thresholding is applied to the intensity matrix to obtain the potential flaw regions, followed by a connected component analysis to identify the flaws. The overall method is demonstrated and validated using realistic phased array experimental data.


2018 ◽  
Vol 202 (2-3) ◽  
pp. 153-160
Author(s):  
Panagiotis Zacharis ◽  
Graeme West ◽  
Gordon Dobie ◽  
Timothy Lardner ◽  
Anthony Gachagan

2013 ◽  
Vol 33 (3) ◽  
pp. 342-351 ◽  
Author(s):  
Xuefei Guan ◽  
Jingdan Zhang ◽  
S. Kevin Zhou ◽  
El Mahjoub Rasselkorde ◽  
Waheed A. Abbasi

Author(s):  
Soudabeh A. Noori ◽  
John W. H. Price

There is now much interest in the development of risk based strategies for maintenance planning including assessing appropriate inspection strategies and making economic life estimates of critical components. This study examines this problem from a practical point of view by studying a significant body of tube thickness inspection data collected in a power station. This data naturally has all sorts of difficulties. For example there are issues related to the accuracy and correctness of the measurements. Then there is the issue of how to use the data to determine deterioration rates and life expectancy. This paper examines this data using: • a method developed by the authors: a procedure based on a “warning level” approach, and • a suggested interpretation of the American Petroleum Institute’s technique of “risk based inspection”.


Author(s):  
M. I. Jyrkama ◽  
M. D. Pandey ◽  
M. Li

This paper presents a methodology for identifying blunt flaws in piping using in-service data from ultrasonic inspection tools. The method is applicable to data obtained from predetermined inspection grids, or directly from bracelet or array type inspection tools. The flaw edge and size are identified by calculating the three-dimensional slope vector (i.e., magnitude and direction) of each point in the kriging interpolated wall thickness profile. The transition from a steeper slope to a relatively flat profile is then used by a search algorithm to determine the flaw edge. The method is applied to the flaw assessment of feeder piping in CANDU nuclear reactors. The results show that in addition to identifying blunt flaws, the developed methodology also provides a convenient way for characterizing the flaw dimensions for structural integrity assessment. The uncertainty in the results is mainly attributed to the signal loss and coverage error associated with the inspection data.


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