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• W2801869296 abstract "Structural health monitoring (SHM) is a continuous nondestructive evaluation systemused for both damage prognosis and diagnosis of civil structures. Acoustic emission (AE)technique is defined as a passive SHM method that enables the detection of any possibledamage. AE technique has been exploited for condition assessment and long-termmonitoring of civil infrastructure systems. AE sensors are sensitive to the micro-crackingstage of damage, therefore showed a great potential for early detection of different formsof deteriorations in reinforced concrete (RC) structures. The rate of deterioration in RCstructures greatly increases due to reinforcing steel corrosion embedded in concrete.Corrosion results in both expansion and mass loss of steel, thus causing concrete covercracking and delamination. Moreover, corrosion causes reduction of bond betweenconcrete and steel, which reduces the overall strength of RC structures. The objectives ofthis research were to: a) utilize AE monitoring for early corrosion detection and concretecover/steel damage quantification of small-scale RC specimens, b) evaluate and localizecorrosion activity using distributed AE sensors in full-scale RC beams, c) attain an earlydetection of loss of bond between corroded steel and concrete at different corrosionlevels, d) identify and assess bond degradation of corroded/un-corroded bars in bothsmall- and full-scale RC beams, and e) develop relationships between the collected AEdata and variable levels of corrosion, corrosion-induced cover crack growth, and bonddeterioration in RC structures.Four extensive experimental investigations have been conducted both on small- and fullscaleRC elements to accomplish these aforementioned research objectives. AE monitoring was implemented in these studies on RC elements including a total of 30prisms, 114 pull-out samples, and 10 beam anchorage specimens under acceleratedcorrosion, direct pull-out, and four-point load tests, respectively. The analysis of AE dataobtained from these tests was performed and compared to the results of half-cellpotentials (HCP) standard tests, visual detection of corrosion-induced cracks, crack widthmeasurements, and overall bond behaviour of all tested pull-out samples/beams. Theresults showed that the analysis of AE signal parameters acquired during corrosion testsenabled the detection of both corrosion and cover crack onset earlier than HCP readingsand prior to any visible cracking in both small- and full-scale RC beams, regardless ofcover thickness or sensor location. Analyzing the AE signals attained from the pull-outtests permitted the characterization of two early stages of bond degradation (micro- andmacro-cracking) in both corroded and un-corroded specimens at all values of bardiameter, corrosion level, cover thickness, and embedded length. The AE analysis alsoallowed an early identification of three stages of bond damage in full-scale corroded/uncorrodedRC beams namely; first crack, initial slip, and anchorage cracking, before theirvisual observation, irrespective of corrosion level, embedded length, or sensor location.The results of AE intensity analysis on AE signal strength data were exploited to developdamage classification charts to assess the extent of corrosion damage as well as tocategorize different stages of bond deterioration in corroded/un-corroded small- and fullscaleRC samples." @default.
• W2801869296 created "2018-05-17" @default.
• W2801869296 creator A5023827592 @default.
• W2801869296 date "2017-05-01" @default.
• W2801869296 modified "2023-09-23" @default.
• W2801869296 title "Acoustic emission based structural health monitoring of corroded/un-corroded concrete structures" @default.
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• W2801869296 hasPublicationYear "2017" @default.
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