Active health monitoring of TN32 dry cask using a scaled down model

Roshan Joseph; Stephen Howden; Bin Lin; Lingyu Yu; Victor Giurgiutiu

doi:10.1117/12.2297278

27 March 2018 Active health monitoring of TN32 dry cask using a scaled down model

Roshan Joseph, Stephen Howden, Bin Lin, Lingyu Yu, Victor Giurgiutiu

Proceedings Volume 10600, Health Monitoring of Structural and Biological Systems XII; 106000B (2018) https://doi.org/10.1117/12.2297278
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2018, Denver, Colorado, United States

Abstract

TN32 casks are multi-layer cylindrical structures used for storage of nuclear spent fuel. The National Center for Physical Acoustics at the University of Mississippi has manufactured a scaled down model of the TN32 cask. To identify the most relevant nondestructive evaluation parameters, which will be useful while doing experiments on real TN32 casks, a series of experiments have been conducted on TN32 cask model. This paper discusses the data analysis of the experiments conducted on the cask model and the conclusions based on those experiments. Elastodynamic waves are generated in the cask model by pencil lead break and hammer hit excitation and the waves in the cask at certain locations are sensed using piezoelectric wafer active sensors (PWAS). The waveforms and frequency spectrums of waveforms arriving at PWAS are studied. There are two types of joints on the cask model: structures joined using adhesives and structures joined using press fit. The effects of various joints in the structure on elastodynamic wave propagation are also studied. Pitch catch experiments on the cask was also done using in plane excitation using PWAS. The most sensitive frequency for the cask model was identified from the frequency response spectrum obtained from a wide band chirp excitation. The influence of various joints on the frequency response spectrum is also studied. Analytical modeling of cask geometry for a given excitation is done using Normal Mode Expansion (NME) technique. Prediction of wave propagation through the scaled down model is done based on the theoretical expression derived.

Conference Presentation

Citation Download Citation

Roshan Joseph, Stephen Howden, Bin Lin, Lingyu Yu, and Victor Giurgiutiu "Active health monitoring of TN32 dry cask using a scaled down model", Proc. SPIE 10600, Health Monitoring of Structural and Biological Systems XII, 106000B (27 March 2018); https://doi.org/10.1117/12.2297278

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available