Session: 18: Student poster competition

Paper Number: 118296

118296 - Comparison of Finite Element and Peri-Ultrasound Based Modeling to Study the Nonlinear Response of Cracked Plates 

Good numerical modeling is necessary to have a clear understanding of the interaction of elastic waves with cracks for designing nondestructive evaluation (NDE) and structural health monitoring (SHM) techniques using ultrasonic waves, since it is much easier to make changes in different parameters in the numerical model compared to experimental work. A relatively new and promising nonlinear ultrasonic technique called Sideband Peak Count – Index (or SPC-I) has been found to be very effective in extracting the nonlinear characteristics generated by the interactions between elastic waves and multiple cracks in the structure. In this work, a modeling technique named finite element method (FEM) is adopted to investigate the interaction of elastic waves with crack by considering the effects of a number of parameters such as the distance between the acoustic source and the crack, the crack spacing, the crack thickness and the number of cracks. The results are compared to another popular modeling technique which is nonlocal peri-dynamics based peri-ultrasound modeling technique. According to both methods, it is found that the crack thickness, the crack spacings, the number of cracks and the acoustic source distance from the crack, all play important roles on the nonlinear response. It is found that the nonlinear response diminishes when the cracks become too thick. Thin cracks show higher nonlinearity compared to thick cracks as well as no-crack situations. The received signal in both frequency and time domains from numerical modeling results are compared with the experimental findings reported in the literature. Consistent qualitative trends are observed in SPC-I variations predicted numerically and obtained experimentally. This consistency gives confidence in the model generated results as well as on the effectiveness of the SPC-I technique as a tool for monitoring material damage.

Presenting Author: Eka Oktavia Kurniati University of Arizona

Presenting Author Biography: Eka Oktavia Kurniati is a Ph.D. student and Graduate Research Assistant in the Multiscale Advanced Materials Design Lab, Department of Civil and Architectural Engineering and Mechanics at the University of Arizona, USA. Her research interest for the Ph.D. program is doing experimental and computational work for construction materials design, especially research on 3D concrete printing as a sustainable material.