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Proceedings Paper

Developing a structural health monitoring system for nuclear dry cask storage canister
Author(s): Xiaoyi Sun; Bin Lin; Jingjing Bao; Victor Giurgiutiu; Travis Knight; Poh-Sang Lam; Lingyu Yu
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Paper Abstract

Interim storage of spent nuclear fuel from reactor sites has gained additional importance and urgency for resolving waste-management-related technical issues. In total, there are over 1482 dry cask storage system (DCSS) in use at US plants, storing 57,807 fuel assemblies. Nondestructive material condition monitoring is in urgent need and must be integrated into the fuel cycle to quantify the “state of health”, and more importantly, to guarantee the safe operation of radioactive waste storage systems (RWSS) during their extended usage period. A state-of-the-art nuclear structural health monitoring (N-SHM) system based on in-situ sensing technologies that monitor material degradation and aging for nuclear spent fuel DCSS and similar structures is being developed. The N-SHM technology uses permanently installed low-profile piezoelectric wafer sensors to perform long-term health monitoring by strategically using a combined impedance (EMIS), acoustic emission (AE), and guided ultrasonic wave (GUW) approach, called "multimode sensing", which is conducted by the same network of installed sensors activated in a variety of ways. The system will detect AE events resulting from crack (case for study in this project) and evaluate the damage evolution; when significant AE is detected, the sensor network will switch to the GUW mode to perform damage localization, and quantification as well as probe "hot spots" that are prone to damage for material degradation evaluation using EMIS approach. The N-SHM is expected to eventually provide a systematic methodology for assessing and monitoring nuclear waste storage systems without incurring human radiation exposure.

Paper Details

Date Published: 27 March 2015
PDF: 10 pages
Proc. SPIE 9439, Smart Materials and Nondestructive Evaluation for Energy Systems 2015, 94390N (27 March 2015); doi: 10.1117/12.2085045
Show Author Affiliations
Xiaoyi Sun, Univ. of South Carolina (United States)
Bin Lin, Univ. of South Carolina (United States)
Jingjing Bao, Univ. of South Carolina (United States)
Victor Giurgiutiu, Univ. of South Carolina (United States)
Travis Knight, Univ. of South Carolina (United States)
Poh-Sang Lam, Savannah River National Lab. (United States)
Lingyu Yu, Univ. of South Carolina (United States)

Published in SPIE Proceedings Vol. 9439:
Smart Materials and Nondestructive Evaluation for Energy Systems 2015
Norbert G. Meyendorf, Editor(s)

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