TY - GEN
T1 - Dynamics-based testing to localize macro cracking due to alkali-ailica reaction in concrete
AU - Miele, Sarah
AU - Karve, Pranav
AU - Mahadevan, Sankaran
AU - Agarwal, Vivek
N1 - Publisher Copyright:
© 2019 by DEStech Publications, Inc. All rights reserved.
PY - 2019
Y1 - 2019
N2 - This work focuses on the diagnosis of degradation in concrete structures caused by the alkali-silica reaction (ASR): a chemical reaction between the cement and certain aggregates containing amorphous silica. The suitability of vibro-acoustic modulation (VAM), is investigated for the detection and localization of cracks caused by ASR. In a VAM test, the structural component is excited using two frequencies. The frequency modulation appears as sidebands around the higher (probing) frequency in the power spectral density (PSD) of the measured response in the neighborhood of the damage zone. A map of the magnitude of such sidebands can be used to detect and localize the damage. We conduct laboratory experiments on four concrete blocks with varying levels of reactive aggregates and different amounts of steel reinforcement, and show that VAM-based testing with optimized test parameters and suitable sensor density can potentially be used to detect and localize cracks in thick concrete structures.
AB - This work focuses on the diagnosis of degradation in concrete structures caused by the alkali-silica reaction (ASR): a chemical reaction between the cement and certain aggregates containing amorphous silica. The suitability of vibro-acoustic modulation (VAM), is investigated for the detection and localization of cracks caused by ASR. In a VAM test, the structural component is excited using two frequencies. The frequency modulation appears as sidebands around the higher (probing) frequency in the power spectral density (PSD) of the measured response in the neighborhood of the damage zone. A map of the magnitude of such sidebands can be used to detect and localize the damage. We conduct laboratory experiments on four concrete blocks with varying levels of reactive aggregates and different amounts of steel reinforcement, and show that VAM-based testing with optimized test parameters and suitable sensor density can potentially be used to detect and localize cracks in thick concrete structures.
UR - https://www.scopus.com/pages/publications/85074278216
UR - https://www.mendeley.com/catalogue/e62a0af3-7175-3729-a61c-0bed1af2bad1/
U2 - 10.12783/shm2019/32364
DO - 10.12783/shm2019/32364
M3 - Conference contribution
AN - SCOPUS:85074278216
T3 - Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring
SP - 2255
EP - 2262
BT - Structural Health Monitoring 2019
A2 - Chang, Fu-Kuo
A2 - Guemes, Alfredo
A2 - Kopsaftopoulos, Fotis
PB - DEStech Publications Inc.
T2 - 12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019
Y2 - 10 September 2019 through 12 September 2019
ER -