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Steel and Composite Structures Volume 50, Number 1, January 10 2024 , pages 89-105 DOI: https://doi.org/10.12989/scs.2024.50.1.089 |
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Parametric study on multichannel analysis of surface waves-based nondestructive debonding detection for steel-concrete composite structures |
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Hongbing Chen, Shiyu Gan, Yuanyuan Li, Jiajin Zeng and Xin Nie
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| Abstract | ||
| Multichannel analysis of surface waves (MASW) method has exhibited broad application prospects in the nondestructive detection of interfacial debonding in steel-concrete composite structures (SCCS). However, due to the structural diversity of SCCS and the high stealthiness of interfacial debonding defects, the feasibility of MASW method needs to be investigated in depth. In this study, synthetic parametric study on MASW nondestructive debonding detection for SCCSs is performed. The aim is to quantitatively analyze influential factors with respect to structural composition of SCCS and MASW measurement mode. First, stress wave composition and propagation process in SCCS are studied utilizing 2D numerical simulation. For structural composition in SCCS, the thickness variation of steel plate, concrete core, and debonding defects are discussed. To determine the most appropriate sensor arrangement for MASW measurement, the effects of spacing and number of observation points, along with distances between excitation points, nearest boundary, as well as the first observation point, are analyzed individually. The influence of signal type and frequency of transient excitation on dispersion figures from forwarding analysis is studied to determine the most suitable excitation signal. The findings from this study can provide important theoretical guidance for MASW-based interfacial debonding detection for SCCS. Furthermore, they can be instrumental in optimizing both the sensor layout design and signal choice for experimental validation. | ||
| Key Words | ||
| steel-concrete composite structures (SCCS); interface debonding detection; multichannel analysis of surface waves (MASW); parametric study; numerical simulation | ||
| Address | ||
| Hongbing Chen and Jiajin Zeng:School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing, China Shiyu Gan and Xin Nie:Department of Civil Engineering, Tsinghua University, Beijing, China Yuanyuan Li:Faculty of Infrastructure Engineering, Dalian University of Technology, Dalian, China | ||