Optimizing Transmission of Acoustic Signals to Monitor Internal Conditions of Canisters for Dry Storage of Commercial Spent Nuclear Fuel

  • Bozhou Zhuang
  • , Anton Sinkov
  • , Morris Good
  • , Ryan Meyer
  • , Bora Gencturk
  • , Assad Oberai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Safe storage of spent nuclear fuel (SNF) is critical to the nuclear fuel cycle and the future of nuclear energy. In the United States, SNF is primarily stored via two methods regulated by the U.S. Nuclear Regulatory Commission (U.S. NRC): wet storage in SNF pools, and dry storage in dry cask storage systems (DCSSs). After about five years of cooling in spent fuel pools, the fuel assemblies are transferred into DCSSs, and the systems are filled with helium and sealed by welding. Deterioration of conditions inside of a DCSS will be reflected by changes in the internal gas properties which motivates the development of acoustic techniques to monitor internal gas properties, over extended storage periods, using sensors mounted on the exterior of the storage packages. However, a major challenge in collecting acoustic signals is the impedance mismatch between the steel canister shell and the gas. Only a small fraction of the ultrasonic signal can be transmitted through the gas medium. In this paper, experimental studies on a full-scale canister mock-up were conducted to capture the gas-borne signals. Damping materials were pasted on the outside and blocking and unblocking tests were conducted to identify the gas-borne signal. The results showed that the excitation frequency plays an important role in maximizing the gas-borne signal. The gas-borne signal was successfully detected at around the theoretical time-of-flight (TOF). A high signal-to-noise ratio (SNR) was achieved in the measurements. Next, the acoustic impedance matching (AIM) layers were introduced, and the gas signal was drastically improved compared with no AIM layers.

Original languageEnglish
Title of host publicationSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2024
EditorsBranko Glisic, Maria Pina Limongelli, Ching Tai Ng
PublisherSPIE
ISBN (Electronic)9781510672048
DOIs
StatePublished - 2024
EventSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2024 - Long Beach, United States
Duration: Mar 25 2024Mar 28 2024

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12949
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2024
Country/TerritoryUnited States
CityLong Beach
Period03/25/2403/28/24

Funding

The funding for this research is provided by the U.S. Department of Energy under the Nuclear Energy University Program award no. DE-NE0009171. The findings and opinions presented here are those of the authors and do not necessarily reflect the views of or endorsed by the sponsor.

Keywords

  • Acoustic sensing
  • Dry storage
  • Non-destructive testing
  • Spent nuclear fuel (SNF)

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