Nondestructive analysis techniques for freeze-thaw damage detection in concrete slabs using shear waves

Freeseman, Katelyn; Khazanovich, Lev; Hoegh, Kyle

doi:10.1016/j.ijprt.2018.06.003

Cited by 3 publications

(3 citation statements)

References 26 publications

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“…An additional comparative analysis was performed on the panoramic reconstructions obtained from the slabs. This analysis utilized an adaptation of Pearson's correlation coefficient in order to detect changes in reconstruction matrices which would be indicative of degradation [16]. This analysis compares a reconstruction with a representative sound reconstruction in order to detect the presence of damage.…”

Section: Quantitative Indicatormentioning

confidence: 99%

Linear Array Ultrasonic Test Results from Alkali-Silica Reaction (ASR) Specimens

Clayton

Khazanovich

Salles

2016

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Section: Quantitative Indicatormentioning

confidence: 99%

Linear Array Ultrasonic Test Results from Alkali-Silica Reaction (ASR) Specimens

Clayton

Khazanovich

Salles

2016

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“…Seismoacoustic methods are also widely used to diagnose road surfaces. Typically, these methods are based on the analysis of surface (Nazarian et al ., 1993; Baker et al ., 1995; Celaya and Nazarian, 2006; Li et al ., 2016; Iodice et al ., 2019) or body (Nazarian et al ., 1993; Baker et al ., 1995; Khazanovich et al ., 2005; Cassidy et al ., 2011; Hoegh et al ., 2011; Hoegh et al ., 2012; Li et al ., 2016; Freeseman et al ., 2018; Choi and Park, 2019; Salles et al ., 2019) waves, which are excited at the surface with the help of various dynamic sources (shocks, vibrators, etc). In addition, passive seismoacoustic methods based on the analysis of vibrations that occur at the road surface from uncontrolled sources, such as vehicles, running crowds, seismic activity, etc., have recently been developed.…”

Section: Introductionmentioning

confidence: 99%

Diagnostics of asphalt pavement using elastic standing waves

Ngomayezwe

Kolesnikov

Fedin

2021

Near Surface Geophysics

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To ensure the safe operation of roads, it is necessary to periodically monitor the condition of road surfaces. Lately, near-surface geophysics methods have been actively used to solve such problems. The seismoacoustic methods that are used to diagnose road surfaces are typically dynamic methods based on the excitation of body or surface elastic waves in the road surfaces. The purpose of this work is to assess the possibilities of using elastic standing waves for diagnosing a hard road surface. This article presents the results of field experiments that demonstrate the possibility of detecting cavities under an asphalt pavement using flexural standing waves. Such waves, like vibrations of a membrane fixed or partially fixed at its edges, can be formed on the hard surface cover above the cavity as a result of exposure to acoustic noise. In this article, the accumulation of amplitude spectra of a large number of noise records was used to extract standing waves from the acoustic noise recorded on the surface of the pavement. It is shown that the joint visualization of the averaged spectra obtained by profile observations over the cavity makes it possible to confidently identify several modes of flexural standing waves. Based on the areal measurements, a map of the distribution of the amplitudes of one of the modes of flexural standing waves in the asphalt pavement over the cavity was constructed. At a qualitative level, this distribution is consistent with the results of computer simulations using the finite element method. The fact that, under the influence of acoustic noise in the pavement, the flexural standing waves are formed which are absent at other places indicates the absence of rigid contact at its lower boundary. Thus, the horizontal dimensions of the cavity can be estimated from the size of the area on which flexural standing waves are formed. In addition, the article shows that the analysis of vertical compressional (but not flexural) standing waves arising in the pavement under the influence of noise allows us to investigate the thickness of the pavement and to qualitatively assess the ratio of acoustic stiffness of the pavement and the underlying layer.

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“…Sin embargo, este material sufre daños debido a cargas externas causadas por las fluctuaciones de temperatura y carga dinámica y estática [2]. Existen diversos sondeos de defectos de concreto [3] y estudios en estructuras de hormigón como colapsos [4], análisis de confiabilidad de la durabilidad [5], estático y dinámico no lineal [6], numérico [7], sísmico probabilístico [8], detección de daños por congelación y descongelación [9], análisis de imágenes [10] y análisis de vibraciones [11], método basado en ondas [12], entre otras para detectar fisuras, grietas [13] y porosidades.…”

Section: Introductionunclassified

Evaluación de discontinuidades tipo grietas y fisuras en estructuras de hormigón empleando un analizador de vibraciones y procesamiento digital de imágenes

Tarazona

Sandoval

2019

Entre cienc. ing.

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Nondestructive analysis techniques for freeze-thaw damage detection in concrete slabs using shear waves

Cited by 3 publications

References 26 publications

Linear Array Ultrasonic Test Results from Alkali-Silica Reaction (ASR) Specimens

Linear Array Ultrasonic Test Results from Alkali-Silica Reaction (ASR) Specimens

Diagnostics of asphalt pavement using elastic standing waves

Evaluación de discontinuidades tipo grietas y fisuras en estructuras de hormigón empleando un analizador de vibraciones y procesamiento digital de imágenes

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