Abstract
The construction of prestressed concrete bridges has witnessed a steep increase for the past 50 years worldwide. The constructed bridges exposed to various environmental conditions deteriorate all along their service life. One such degradation is corrosion, which can cause significant damage if it occurs on the main structural components, such as prestressing tendons. In this study, a novel non-destructive evaluation method to incorporate a movable yoke system with denoising algorithm based on kernel principal component analysis is developed and applied to identify the loss of cross-sectional area in corroded external prestressing tendons. The proposed method using denoised output voltage signals obtained from the measuring device appears to be a reliable and precise monitoring system to detect corrosion with less than 3% sectional loss.
Highlights
Prestressed concrete (PSC) bridges have gained increasing popularity and are widely erected all around the world owing to numerous features superior to traditional reinforced concrete bridges, for example, their economical competitiveness, the possibility to achieve longer, lighter, and slenderer structures, and to control cracks more effectively, and so on
Since the tendons made of steel wires wound in strands are the critical structural components of the PSC bridges, innovative technologies are necessary to monitor corrosion in order to prevent the occurrence of the sudden and premature collapse of the structure
This paper presents a novel method to detect corrosion in external prestressing tendons
Summary
Prestressed concrete (PSC) bridges have gained increasing popularity and are widely erected all around the world owing to numerous features superior to traditional reinforced concrete bridges, for example, their economical competitiveness, the possibility to achieve longer, lighter, and slenderer structures, and to control cracks more effectively, and so on. The urgent measure was taken to investigate the cause of damage and find solutions This accident triggered numerous Korean engineers and researchers to recognize the importance of maintenance as well as the need for reliable monitoring methods detecting corrosion of PSC bridge tendons. The main drawbacks of the averaging method, are: (1) Large amounts of signals obtained from repeated tests are necessary to effectively eliminate noise; (2) all the conditions, for example, measuring locations, degree of demagnification, moving speed of the yoke system, etc., need to be identical during the tests. Numerous denoising methods methodshave havebeen beendeveloped developedtotoimprove improve digital images and signals [13– Projective subspace methods, such as singular value decomposition and principal component analysis, 17].
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