Abstract
In plate-like structures, wall-thinning defects resulting from corrosion may not be accompanied by any indication of damage on the surface. Thus, inspections are required to ensure that wall-thinning defects are within allowable limits. However, conventional ultrasonic techniques require physical contact to the structure. Alternatively, acoustic wavenumber spectroscopy (AWS) may be used for detecting, locating, and characterizing defects. This paper describes the performance of AWS in the estimation of a wall-thinning defect size in thinplate structures using finite element analysis (FEA). Through a series of FEAs, the structure’s steady-state response to a single-tone ultrasonic excitation is simulated, and the wall-thinning defect-size effect on the wavenumber-estimation accuracy is investigated. In general, the A0 guided wave mode is widely used to visualize defects because of the nature of the wave speed variation in relation to the plate thickness. However, it is not appropriate for the detection of relatively shallow wall-thinning defects, because the rate of change in wave speed with the thickness decreases with increasing plate thickness. To overcome this limitation, we propose a method to optimize excitation frequency and effective guided wave mode instead of utilizing the A0 mode. The results can be used to determine the size of shallow wall-thinning defects in plate-like structures.
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Seongin Moon received his B.S., M.S. and Ph.D. degrees in Mechanical Design from Sungkyunkwan University, Korea in 1999, 2001, and 2005, respectively. He worked for Hyundai Motors as a Senior Researcher from 2005 to 2009. He is currently a Principal Researcher at the Korea Atomic Energy Research Institute. His research interests are durability evaluation and the design of the cyber-physical system of a mechanical system.
To Kang received his B.S., M.S. and Ph.D. degrees in Mechanical Engineering from Sungkyunkwan University, Korea, in 2008, 2010, and 2017, respectively. From 2013 to 2016, he was a Researcher at the Korea Atomic Energy Research Institute. Since 2016, he has been a Senior Researcher at the same institute, working in the fields of ultrasonic nondestructive evaluation and advanced signal-processing techniques for condition monitoring and diagnosis of mechanical systems.
Soon-Woo Han received his B.S., M.S. and Ph.D. degrees in Mechanical and Aerospace Engineering at Seoul National University in 1995, 2001, and 2005, respectively. He is currently a Principal Engineer at the Korea Atomic Energy Research Institute. His research interest is health monitoring and diagnosis of nuclear power plant machinery.
Jun-Young Jeon received his B.S. and M.S. degrees in Mechanical Engineering at Chonnam National University in 2014 and 2016, respectively. He is currently a graduate research assistant pursuing a Ph.D. degree at the same institute. His current research interests include structural damage detection with various smart sensors and actuators.
Gyuhae Park received his B.S. and Ph.D. degrees in Mechanical Engineering at Chonnam National University (1992) and Virginia Tech (2000), respectively. He is currently a Professor of mechanical engineering at Chonnam University. Before joining the university, he worked at Los Alamos National Laboratory (2002–2012) as a technical staff member. His research interests are structural health monitoring and vibration/ noise analysis. He is elected a fellow of ASME in 2017.
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Moon, S., Kang, T., Han, SW. et al. Optimization of excitation frequency and guided wave mode in acoustic wavenumber spectroscopy for shallow wall-thinning defect detection. J Mech Sci Technol 32, 5213–5221 (2018). https://doi.org/10.1007/s12206-018-1019-6
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DOI: https://doi.org/10.1007/s12206-018-1019-6