2020
DOI: 10.1134/s1061830920010064
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Numerical Simulation of Ultrasonic Pile Integrity Testing

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Cited by 14 publications
(10 citation statements)
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“…The physical properties of the materials specified in numerical models-density, pressure, shear wave speeds, and damping coefficients α and β of the Rayleigh attenuation model [43][44][45][46]-are given in Table 1. The surrounding medium for the piles was modeled as dry sand.…”
Section: Numerical Simulation Of Low Strain Testing Of Driven Precast...mentioning
confidence: 99%
“…The physical properties of the materials specified in numerical models-density, pressure, shear wave speeds, and damping coefficients α and β of the Rayleigh attenuation model [43][44][45][46]-are given in Table 1. The surrounding medium for the piles was modeled as dry sand.…”
Section: Numerical Simulation Of Low Strain Testing Of Driven Precast...mentioning
confidence: 99%
“…In the case of the sonic echo technique, research has been conducted on estimating the pile length [13][14][15] and assessing defects in the pile (size and location) [10,16]. Additionally, there are methods such as ultra-sonic echo for evaluating cavities within the pile using ultrasound as the input wave [11,17]. Impulse response techniques have been applied to research on evaluating pile length [13,15,18,19], as well as assessing the size and location of defects in the pile [20,21].…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, it is imperative to employ non-destructive testing techniques capable of thoroughly assessing the structural integrity of deep foundation elements [1][2][3]. These techniques rely on various physical phenomena, such as ultrasound propagation [4][5][6][7], low-frequency acoustic waves [8,9], heat transfer [10,11], and others. Fig.…”
Section: Introductionmentioning
confidence: 99%
“…In certain cases, current approaches to CSL data analysis may struggle to distinguish ultrasonic anomalies caused by defects and other factors unrelated to concrete quality [16]. These approaches also offer limited capabilities for evaluating the strength of concrete and identified defects [4]. Additionally, the effectiveness of current CSL data analysis techniques can be compromised by diverse sources of errors [15].…”
Section: Introductionmentioning
confidence: 99%