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Dimitrios G. Aggelis

Researcher at Vrije Universiteit Brussel

Publications -  184
Citations -  5140

Dimitrios G. Aggelis is an academic researcher from Vrije Universiteit Brussel. The author has contributed to research in topics: Acoustic emission & Cementitious. The author has an hindex of 36, co-authored 155 publications receiving 4082 citations. Previous affiliations of Dimitrios G. Aggelis include Free University of Brussels & VU University Amsterdam.

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Classification of cracking mode in concrete by acoustic emission parameters

TL;DR: In this paper, a number of acoustic emission indices are proposed to classify the cracks according to their mode, which can provide a warning against the final failure of a concrete structure during bending.
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Acoustic emission behavior of steel fibre reinforced concrete under bending

TL;DR: In this paper, the authors describe the acoustic emission behavior of concrete under four-point bending and show that the total acoustic emission (AE) activity is directly proportional to the fiber content.
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Experimental study of wave dispersion and attenuation in concrete

TL;DR: Results from an experimental study concerning wave propagation in cementitious materials show that aggregate content play an important role in wave propagation increasing considerably the wave velocity, while the aggregate size seems to control the attenuation observed.
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Acoustic emission characterization of the fracture process in fibre reinforced concrete

TL;DR: In this article, different acoustic emission indices are correlated with the accumulation of damage and the type of source, and the amplitude distribution of acquired signals is very sensitive to micro-cracking, while individual mechanisms like matrix cracking and fibre pull-out can be distinguished by the average frequency of the corresponding signals which exhibits a severe decrease at the moment of main.
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Non-Destructive Evaluation for Corrosion Monitoring in Concrete: A Review and Capability of Acoustic Emission Technique

TL;DR: The capability of the AE technique to detect corrosion occurring in real-time makes it a strong candidate for serving as an efficient NDT method, giving it an advantage over other NDT methods.