Abstract

Longitudinal (P) waves have been widely employed for estimating concrete compressive strength based on correlation models between wave velocity and strength. However, P-wave based methods show high uncertainty because of the challenge of identifying the weak first arrival of P waves and the sensitivity of P waves to air voids and moisture. Shear-horizontal (SH) waves are superior to P waves because of their velocity stability in concrete at various air void and moisture levels. Moreover, SH waves exhibit a high signal-to-noise ratio without mode conversion after reflection and refraction. In this study, an SH-wave based method was developed to measure the shear-wave velocity (Vs) of concrete directly using SH-wave transducers and then establish a correlation between Vs and compressive strength. The proposed method was verified using concrete specimens produced with four water-to-cement ratios and different strength grades. The results indicate that the proposed method can significantly improve the accuracy of first arrival identification and enhance the preciseness of strength evaluation.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

The authors gratefully acknowledge the sponsorships from the National Science Foundation of China (51908104 and 52008072), the Cooperative Project from Chinese Academy of Engineering and Local Institute (HB2022B18), the Scientific Research Fund of Institute of Engineering Mechanics, China Earthquake Administration (2020D08), and the Scientific Research Funds of the Education Department of Liaoning Province (QL202011).

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Go to Journal of Performance of Constructed Facilities
Journal of Performance of Constructed Facilities
Volume 37Issue 1February 2023

History

Received: Jun 27, 2022
Accepted: Oct 24, 2022
Published online: Dec 14, 2022
Published in print: Feb 1, 2023
Discussion open until: May 14, 2023

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Shibin Lin, Ph.D., A.M.ASCE [email protected]
Associate Professor, State Key Laboratory of Precision Blasting, Jianghan Univ., Wuhan 430056, China; Associate Professor, Hubei Key Laboratory of Blasting Engineering, Jianghan Univ., Wuhan 430056, China. Email: [email protected]
Xiujie Tang [email protected]
Research Assistant, Dept. of Civil Engineering, Northeastern Univ., Shenyang, Liaoning 110819, China. Email: [email protected]
Hong-Nan Li, Ph.D., F.ASCE [email protected]
Professor, School of Civil Engineering, Dalian Univ. of Technology, No. 2, Linggong Rd., Ganjingzi District, Dalian 116024, China. Email: [email protected]
Professor, Dept. of Civil and Environmental Engineering, Rutgers Univ., 96 Frelinghuysen Rd., Piscataway, New Jersey 08854. ORCID: https://orcid.org/0000-0003-3487-2782. Email: [email protected]
Yujin Wang, Ph.D. [email protected]
Lecturer, College of Digital Construction and Blasting Engineering, Jianghan Univ., Wuhan 430056, China (corresponding author). Email: [email protected]

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