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Quasi-Non-Destructive Estimation of Concrete Compression Strength Using Laser-Induced Breakdown Spectroscopy and Multivariate Analysis.
Eto, Shuzo; Otsuka, Taku.
Afiliación
  • Eto S; Central Research Institute of Electric Power Industry, Grid Innovation Research Laboratory, Kanagawa, Japan.
  • Otsuka T; Central Research Institute of Electric Power Industry, Sustainable System Research Laboratory, Chiba, Japan.
Appl Spectrosc ; : 37028241262040, 2024 Jul 21.
Article en En | MEDLINE | ID: mdl-38881211
ABSTRACT
Micro- and non-destructive methods of estimating compressive strength are useful for diagnosing the degradation of reinforced structures. The velocity of waves propagating through concrete can be measured using conventional non-destructive methods; however, the propagation path of waves varies depending on the distribution of coarse aggregate, resulting in variations in velocity at different measurement points. To address this issue, a method based on laser-induced breakdown spectroscopy and multivariate analysis was developed in this study for estimating the compressive strength of concrete non-destructively, ensuring the non-influence of the coarse aggregate spatial distribution. The method is based on the correlation between the emission intensity of the spectrum and the hardness of the object to be measured. Principal component analysis and partial least squares regression (PLSR) were used to extract the mortar spectrum, which determines the compressive strength of concrete, from a mixture of aggregate and mortar spectra. The compressive strength estimated based on the proposed method was consistent with the values obtained from the compressive strength test, which indicates the possibility of using multivariable analysis to estimate the compressive strength of concrete. Furthermore, the proposed method enabled on-site measurements through a simple experimental setup and insensitivity to spectral noise offered by PLSR.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Appl Spectrosc Año: 2024 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Appl Spectrosc Año: 2024 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Estados Unidos