SUBJECT: Ph.D. Dissertation Defense
BY: Kathryn Matlack
TIME: Wednesday, March 26, 2014, 1:30 p.m.
PLACE: Sustainable Education Building, 122
TITLE: Nonlinear Ultrasound for Radiation Damage Detection
COMMITTEE: Dr. Laurence Jacobs, Co-Chair (ME/CEE)
Dr. Jianmin Qu, Co-Chair (Northwestern University)
Dr. Jin-Yeon Kim (CEE)
Dr. David McDowell (ME)
Dr. Chaitanya Deo (ME/NRE)
Dr. James Wall (EPRI/ME)


Radiation damage occurs in reactor pressure vessel (RPV) steel, causing microstructural changes such as point defect clusters, interstitial loops, vacancy-solute clusters, and precipitates, that cause material embrittlement. Radiation damage is a crucial concern in the nuclear industry since many nuclear plants throughout the US are entering the first period of life extension and older plants are currently undergoing assessment of technical basis to operate beyond 60 years. The result of extended operation is that the RPV and other components will be exposed to higher levels of neutron radiation than they were originally designed to withstand. There is currently no nondestructive evaluation technique that can unambiguously assess the amount of radiation damage in RPV steels. Nonlinear ultrasound (NLU) is a nondestructive evaluation technique that is sensitive to microstructural features such as dislocations, precipitates, and their interactions in metallic materials. The physical effect monitored by NLU is the generation of higher harmonic frequencies in an initially monochromatic ultrasonic wave, arising from the interaction of the ultrasonic wave with microstructural features. This effect is quantified with the measurable acoustic nonlinearity parameter. In this thesis, nonlinear ultrasound is used to characterize radiation damage in reactor pressure vessel steels over a range of fluence levels, irradiation temperatures, and material composition. Experimental results are presented and interpreted with newly developed analytical models that combine different irradiation-induced microstructural contributions to the acoustic nonlinearity parameter.