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Automated Detection of Alkali-Silica Reaction in Concrete Using Linear Array Ultrasound Data

  • Dwight A. ClaytonEmail author
  • Hector Santos-Villalobos
  • N. Dianne Bull Ezell
  • Joseph Clayton
  • Justin Baba
Conference paper
Part of the The Minerals, Metals & Materials Series book series (MMMS)

Abstract

This paper documents the development of signal processing and machine learning techniques for the detection of Alkali-silica reaction (ASR). ASR is a chemical reaction in either concrete or mortar between hydroxyl ions of the alkalis from hydraulic cement, and certain siliceous minerals present in some aggregates. The reaction product, an alkali-silica gel, is hygroscopic having a tendency to absorb water and swell, which under certain circumstances, leads to abnormal expansion and cracking of the concrete. This phenomenon affects the durability and performance of concrete cause significant loss of mechanical properties. Developing reliable methods and tools that can evaluate the degree of the ASR damage in existing structures, so that informed decisions can be made toward mitigating ASR progression and damage, is important to the long-term operation of nuclear power plants especially if licenses are extended beyond 60 years. The paper examines the differences in the time-domain and frequency-domain signals of healthy and ASR-damaged specimens. More precisely, we explore the use of the Fast Fourier Transform to observe unique features of ASR damaged specimens and an automated method based on Neural Networks to determine the extent of ASR damage in laboratory concrete specimens.

Keywords

Nondestructive evaluation Alkali-silica Ultrasound 

Notes

Acknowledgements

This work was funded by the U.S. Department of Energy Office of Nuclear Energy under the Light Water Reactor Sustainability program.

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Copyright information

© The Minerals, Metals & Materials Society 2019

Authors and Affiliations

  • Dwight A. Clayton
    • 1
    Email author
  • Hector Santos-Villalobos
    • 1
  • N. Dianne Bull Ezell
    • 1
  • Joseph Clayton
    • 1
  • Justin Baba
    • 1
  1. 1.Oak Ridge National LaboratoryOak RidgeUSA

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