Implementation of Information Entropy, -Value, and Regression Analyses for Temporal Evaluation of Acoustic Emission Data Recorded during ASR Cracking
Publication: Practice Periodical on Structural Design and Construction
Volume 26, Issue 1
Abstract
This study investigates the efficacy of differing information entropy calculation approaches for concrete structures undergoing alkali-silica reaction (ASR)-induced cracking. In prior work, information entropy has only been utilized for a better understanding of the damage in metallic structures under external loading. To our knowledge, no research has been published regarding information entropy for concrete structures affected by ASR. This scientific gap is addressed in this paper. Furthermore, the innovation lies in using coefficients of determination instead of -values for cracking identification. The entropy results show that the randomness of events increases at the earlier stage of ASR, which is expected due to the microcrack formation, and decreases at the later stage due to the formation of macrocracks. Moreover, a correlation is observed between the coefficients of determination and the evolution of the cumulative signal strength.
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Data Availability Statement
Data and models generated or used during the study are available from the corresponding author by request.
Acknowledgments
This research was partially supported by the US Department of Energy—Nuclear Energy University Program (NEUP) under the contract DE-NE0008544 and the US Department of Energy Office of Science, Office of Basic Energy Sciences, and Office of Biological and Environmental Research under Award No. DE-SC-00012530.
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Published In
Practice Periodical on Structural Design and Construction
Volume 26 • Issue 1 • February 2021
Copyright
© 2020 American Society of Civil Engineers.
History
Received: May 26, 2020
Accepted: Sep 9, 2020
Published online: Dec 3, 2020
Published in print: Feb 1, 2021
Discussion open until: May 3, 2021
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