Utilizing linear and nonlinear ultrasound for improved estimation of concrete strength.
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| Title: | Utilizing linear and nonlinear ultrasound for improved estimation of concrete strength. |
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| Authors: | Seo, Wanhyuk1 (AUTHOR), Lee, Seungjun2 (AUTHOR), Baek, Seungo3 (AUTHOR), Shin, Dong Min1 (AUTHOR), Youm, Kwangsoo4 (AUTHOR), Kim, Bongjun4 (AUTHOR), Kim, Gun3 (AUTHOR) gunkim@unist.ac.kr, Yun, Tae Sup1 (AUTHOR) taesup@yonsei.ac.kr |
| Source: | Nondestructive Testing & Evaluation. Jul2026, Vol. 41 Issue 7, p4204-4220. 17p. |
| Subjects: | Nondestructive testing, Nonlinear acoustics, High strength concrete, Ultrasonic testing, Ultrasonic imaging, Risk assessment, Fuzzy clustering technique |
| Abstract: | This study investigated non-destructive concrete strength evaluation using in-situ cored samples. Data from various mix proportions and design strengths revealed inconsistent correlations between compressive strength and linear ultrasonic wave velocity (Vp). This inconsistency arises because Vp captures only linear elastic behaviour, whereas concrete strength reflects both linear and nonlinear behaviours. In contrast, the acoustic nonlinearity parameter (βre) exhibits superior sensitivity to microstructural conditions owing to its direct link to material nonlinearity. We proposed a new integrity index (M/β*) by combining the constrained modulus (M) derived from Vp with βre to capture the entire elastic behaviour. This index demonstrated statistically significant correlation with the factor of safety (FS) across different design strengths and mix proportions. Next, we developed a risk stratification system based on M/β* using fuzzy c-means clustering, categorising concrete into three risk zones: critical (M/β* <40), moderate (40 < M/β* <75) and low (M/β* >75), providing a quantitative tool for assessing concrete quality. The results highlight the importance of integrating linear and nonlinear ultrasonic parameters for accurate strength prediction, particularly in field conditions where traditional Vp–strength correlations are unreliable. This approach offers a new method for non-destructive concrete strength detection, thereby enhancing structural safety assessments. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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| Abstract: | This study investigated non-destructive concrete strength evaluation using in-situ cored samples. Data from various mix proportions and design strengths revealed inconsistent correlations between compressive strength and linear ultrasonic wave velocity (Vp). This inconsistency arises because Vp captures only linear elastic behaviour, whereas concrete strength reflects both linear and nonlinear behaviours. In contrast, the acoustic nonlinearity parameter (βre) exhibits superior sensitivity to microstructural conditions owing to its direct link to material nonlinearity. We proposed a new integrity index (M/β*) by combining the constrained modulus (M) derived from Vp with βre to capture the entire elastic behaviour. This index demonstrated statistically significant correlation with the factor of safety (FS) across different design strengths and mix proportions. Next, we developed a risk stratification system based on M/β* using fuzzy c-means clustering, categorising concrete into three risk zones: critical (M/β* <40), moderate (40 < M/β* <75) and low (M/β* >75), providing a quantitative tool for assessing concrete quality. The results highlight the importance of integrating linear and nonlinear ultrasonic parameters for accurate strength prediction, particularly in field conditions where traditional Vp–strength correlations are unreliable. This approach offers a new method for non-destructive concrete strength detection, thereby enhancing structural safety assessments. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 10589759 |
| DOI: | 10.1080/10589759.2025.2457592 |
