2013
DOI: 10.1016/j.conbuildmat.2012.06.066
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Monitoring of the mechanical behavior of concrete with chemically treated steel fibers by acoustic emission

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Cited by 76 publications
(32 citation statements)
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“…However, after this point, E AE is always lower than W P . Moreover, the decreasing of AE energy-and thus its separation from the plastic strain energy-is in good agreement with the results reported in [21], i.e., AE energy decreases as the energy absorbed by the reinforcement through plastic deformations increases. This result also supports the increase of the b-value at the onset of yielding in the steel reinforcement [13].…”
Section: Rc Beamssupporting
confidence: 80%
“…However, after this point, E AE is always lower than W P . Moreover, the decreasing of AE energy-and thus its separation from the plastic strain energy-is in good agreement with the results reported in [21], i.e., AE energy decreases as the energy absorbed by the reinforcement through plastic deformations increases. This result also supports the increase of the b-value at the onset of yielding in the steel reinforcement [13].…”
Section: Rc Beamssupporting
confidence: 80%
“…Typical mechanical description of steel fiber‐reinforced concrete (SFRC) and plain concrete specimens correlated to acoustic emission (AE) activity .…”
Section: Resultsmentioning
confidence: 99%
“…By using a proper array of sensors mounted on the RC structure, it is theoretically possible to determine the location of the AE source by analyzing the arrival times of the waves to each sensor . Similarly, AE testing can be used to study the initiation and growth of cracks in concrete in real time …”
Section: Introductionmentioning
confidence: 99%
“…3,4 Similarly, AE testing can be used to study the initiation and growth of cracks in concrete in real time. [5][6][7][8][9][10] It is known that "damage" is physical harm that impairs the value, usefulness, or normal function of something. Over the past few years, researchers have attempted to study the state of damage in RC structures using parameterbased AE monitoring techniques.…”
Section: Introductionmentioning
confidence: 99%