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空洞缺陷形状对杉木圆盘电阻与应力波断层成像效果的影响(PDF)

《南京林业大学学报(自然科学版)》[ISSN:1000-2006/CN:32-1161/S]

Issue:
2016年05期
Page:
131-137
Column:
研究论文
publishdate:
2016-09-30

Article Info:/Info

Title:
Effects of artificial cavity defects on electric resistance tomography and stress wave technology of Cunninghamia lanceolata discs
Article ID:
1000-2006(2016)05-0131-07
Author(s):
YUE Xiaoquan12 WANG Lihai1* WANG Xinglong1 LIU Zexu1 RONG Binbin1 GE Xiaowen1
1.College of Engineering and Technology, Northeast Forestry University, Harbin 150040, China;
2.College of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, China
Keywords:
nondestructive testing electric resistance tomography stress wave technology wood defect Canninghamia lanceolata
Classification number :
S781.5; TG115.28
DOI:
10.3969/j.issn.1000-2006.2016.05.021
Document Code:
A
Abstract:
NDT(nondestructive testing)techniques were employed to detect cavity defects in timbers. Therefore it is necessary to make comparisons on those NDT techniques in order to find out their special feature and suitable application, so that the interior defects information of timbers were judged correctly. In order to compare the precision of electric resistance tomography(ERT)and stress wave technology(SWT), under the condition of different area and outline of simulated cavity defects in timber discs of Cunninghamia lanceolata, the relationship between imaging graph defects detected by two methods and real defects was studied. Research results showed that: ①Both ERT and SWT could display graph of defects, the precision of imaging graph relates to real defect area and area of the tested wood cross section, and outline shape of the defects; ②When the ratio between real defect area and area of the tested wood cross section raisedy from 4.90% to 44.05%, the relative error of ERT graph defect area and real defect area dropped from 34.03% to 11.69%, and the relative error of SWT graph defect area and real defect area dropped from 46.41% to 14.88%. ③ Outline shape of defects exerted certain effect on detection of defects of both imaging systems. The defects of semi-round shape were easy to shown by ERT. On the contrary, the defects of long and narrow fan shape were easy to be shown by SWT. This study indicated that ERT was more sensitive than SWT, and ERT had a higher precision in image detection than SWT. On the other hand, SWT performed better in identification capabilities of defect outlines.

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Last Update: 2016-10-30