2008
DOI: 10.1007/s10921-008-0030-8
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Evaluation of Radar and Complementary Echo Methods for NDT of Concrete Elements

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Cited by 28 publications
(16 citation statements)
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“…Due to the double dependency on porosity and degree of saturation, the cause of the measurement variation in the NDT parameter cannot be easily determined. Consequently, a combination of complementary methods is recommended in order to accurately assess the degree of saturation and porosity of concrete [12, [26][27][28]. When relying on such a combination procedure, it becomes possible to evaluate durability indicators and/or mechanical properties, as reported by several authors.…”
Section: Introductionmentioning
confidence: 99%
“…Due to the double dependency on porosity and degree of saturation, the cause of the measurement variation in the NDT parameter cannot be easily determined. Consequently, a combination of complementary methods is recommended in order to accurately assess the degree of saturation and porosity of concrete [12, [26][27][28]. When relying on such a combination procedure, it becomes possible to evaluate durability indicators and/or mechanical properties, as reported by several authors.…”
Section: Introductionmentioning
confidence: 99%
“…Kaftandjian et al (Kaftandjian, Min, Dupuis, & D., 2005) utilized a data fusion approach to improving weld inspection by NDTs, combining the use of evidence theory and fuzzy logic; in their framework, X-ray and ultrasonic inspection were modeled in order to generate 3D images from both NDTs, for evaluating defect detection and defect sizing of welded joints for industrial purposes, showing that the fusion of data significantly enhances the reliability of the defect detection. Maierhofer et al (Maierhofer, Zacher, Khol, & Wöstmann, 2008) used radar, ultrasonic, impact-echo and thermography data fusion for predicting deterioration of concrete vehicular bridges, it was established that the data fusion technique increases the reliability, and improved the accuracy of the quantitative results, exploiting the different and sometimes complementary physical effects provided by different NDTs. Lui et al (Liu, Forsyth, & Komorowski, 2007) provide a very wide state-of-the-art regarding NDTs data fusion techniques, they established that the usage of multiple NDTs methods is employed in order to increase the reliability and reduce the uncertainty of testing and evaluation.…”
Section: Introductionmentioning
confidence: 99%
“…The more commonly used methods are based on classification (like Dempster-Shafer theory) in particular for image fusion [3][4][5][6][7]. Data fusion is also already used for assessing civil engineering components [4][5]8].…”
Section: Data Fusion Processmentioning
confidence: 99%