TY - GEN
T1 - Rapid condition evaluation of concrete pavement with automated acoustic scanning system
AU - Ham, Suyun
AU - Kang, Sanggoo
AU - David, Dafnik Saril Kumar
N1 - Publisher Copyright:
© 2019 by DEStech Publications, Inc. All rights reserved.
PY - 2019
Y1 - 2019
N2 - The paper describes a practical and rapid automatic crack evaluation system (ACES). It is a newly developed automated multichannel rapid automatic impact system for rapid evaluation of bridge decks based on impact echo test using a rolling hammers impactor and air-coupled sensing with high spatial resolution providing high impact power for deep delamination and consistent scan resolution regardless of speed. The researchers have developed rapid ACES approach using a high-speed stress wave generator to show pavement deficiencies. The guided wave were used to identify internal and surface vertical cracks. The resonance vibrations by generating stress waves (called as impact echo) are used to identify the internal horizontal crack and its delamination. The RPI mechanical waves produce a vibrational resonance through the thickness of the pavement, which can be detected by using non-contact micro-electro-mechanical system (MEMs) sensors for high sensitivity and high speed data collection[1]. The acquired signals will be transferred and stored in a computer with software that can develop signal processing and create identification algorithms. Its results identified the peak frequencies on a short time Fourier transform (STFT) spectrogram in the frequency range 0.5-6 kHz. Both results were verified on a concrete slab with artificial delaminations in the laboratory. The results were compared to both the air-coupled manual impact echo approach and 3D ultrasonic tomography (MIRA) results. A positioning system is integrated to automatically track test positions and save time in documenting and identifying test results and position information. Rapid condition evaluation of concrete runway pavement helped the strategic evaluation and implementation of a proper pavement maintenance and replacement plan.
AB - The paper describes a practical and rapid automatic crack evaluation system (ACES). It is a newly developed automated multichannel rapid automatic impact system for rapid evaluation of bridge decks based on impact echo test using a rolling hammers impactor and air-coupled sensing with high spatial resolution providing high impact power for deep delamination and consistent scan resolution regardless of speed. The researchers have developed rapid ACES approach using a high-speed stress wave generator to show pavement deficiencies. The guided wave were used to identify internal and surface vertical cracks. The resonance vibrations by generating stress waves (called as impact echo) are used to identify the internal horizontal crack and its delamination. The RPI mechanical waves produce a vibrational resonance through the thickness of the pavement, which can be detected by using non-contact micro-electro-mechanical system (MEMs) sensors for high sensitivity and high speed data collection[1]. The acquired signals will be transferred and stored in a computer with software that can develop signal processing and create identification algorithms. Its results identified the peak frequencies on a short time Fourier transform (STFT) spectrogram in the frequency range 0.5-6 kHz. Both results were verified on a concrete slab with artificial delaminations in the laboratory. The results were compared to both the air-coupled manual impact echo approach and 3D ultrasonic tomography (MIRA) results. A positioning system is integrated to automatically track test positions and save time in documenting and identifying test results and position information. Rapid condition evaluation of concrete runway pavement helped the strategic evaluation and implementation of a proper pavement maintenance and replacement plan.
UR - http://www.scopus.com/inward/record.url?scp=85074284252&partnerID=8YFLogxK
U2 - 10.12783/shm2019/32408
DO - 10.12783/shm2019/32408
M3 - Conference contribution
AN - SCOPUS:85074284252
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 - 2619
EP - 2625
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 -