TY - GEN
T1 - Automated acoustic scanning of concrete bridge decks
AU - Sun, Hongbin
AU - Ham, Sunyun
AU - Zhu, Jinying
PY - 2017
Y1 - 2017
N2 - Chain drag testing is commonly used in current practice for bridge deck evaluation due to its low cost and ease of use. However, this method is subjective, and highly depends on the experience of the operators. An automated acoustic scanning system is developed to detect delaminations in concrete bridge decks. The system consists of an array of chains or impactors, a noncontact MEMS microphone sensor array, multichannel data acquisition device, RTK GPS positioning system, and signal processing schemes. Acoustic signal collected by the microphone is processed by short time Fourier transform (STFT). STFT amplitudes in the frequency range from 0.5 kHz to 5 kHz is summed up to form one dimensional data set vs. scanning time for each channel, and then data sets for each channel are stacked together to generate a two-dimensional map. A delamination identification algorithm is then developed to identify the center positons, dimensions of delaminations and recognize false positive delaminations. This system is validated on a 300 feet long bridge near Lincoln NE.
AB - Chain drag testing is commonly used in current practice for bridge deck evaluation due to its low cost and ease of use. However, this method is subjective, and highly depends on the experience of the operators. An automated acoustic scanning system is developed to detect delaminations in concrete bridge decks. The system consists of an array of chains or impactors, a noncontact MEMS microphone sensor array, multichannel data acquisition device, RTK GPS positioning system, and signal processing schemes. Acoustic signal collected by the microphone is processed by short time Fourier transform (STFT). STFT amplitudes in the frequency range from 0.5 kHz to 5 kHz is summed up to form one dimensional data set vs. scanning time for each channel, and then data sets for each channel are stacked together to generate a two-dimensional map. A delamination identification algorithm is then developed to identify the center positons, dimensions of delaminations and recognize false positive delaminations. This system is validated on a 300 feet long bridge near Lincoln NE.
UR - https://www.scopus.com/pages/publications/85032354264
U2 - 10.12783/shm2017/14167
DO - 10.12783/shm2017/14167
M3 - Conference contribution
AN - SCOPUS:85032354264
T3 - Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017
SP - 2655
EP - 2662
BT - Structural Health Monitoring 2017
A2 - Chang, Fu-Kuo
A2 - Kopsaftopoulos, Fotis
PB - DEStech Publications
T2 - 11th International Workshop on Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance, IWSHM 2017
Y2 - 12 September 2017 through 14 September 2017
ER -