Technical Papers
Aug 8, 2023

Experimental Study on the Spatial Variability of Concrete by the Core Test and Rebound Hammer Test

Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 9, Issue 4

Abstract

For the nonlinear analyses of concrete structures, the complete compressive stress-strain curve of concrete is the key basis. Spatial variability is one of the significant characteristics of the mechanical properties of concrete. It may affect the possibly partially damaged area and failure mode of concrete components. However, there are few investigations on the spatial variability of the complete compressive stress-strain curve of concrete. To this end, a plain concrete slab of 2.8×4.8×0.2  m was cast. In order to study the spatial variability of the rebound number, an intensive rebound hammer test was performed on this slab with spacing of 40 mm. Then a core test was carried out with partitioned uniform sampling. In order to obtain more information about the spatial variability of random field, the positions of cores were determined by three two-dimensional circular number theoretical nets. The test of the complete compressive stress-strain curve was performed on the obtained cores and a four-variate random field of the compressive constitutive parameters of concrete was obtained. Then the geostatistical method was adopted to study the spatial variability of the obtained random fields. The test results show that there is strong spatial correlation in the four compressive constitutive parameters of concrete. In addition, the size, shape, and failure mode of the concrete block have great influence on its complete compressive stress-strain curves. For the random field of the rebound number, there is obvious spatial correlation, but the spatial variability is dominated by randomness.

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Data Availability Statement

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

Acknowledgments

Financial support from the National Natural Science Foundation of China (Grant No. 51725804) is highly appreciated. Help with the tests from Mr. Jiashu Yang, Mr. Yudong Ren, Mr. Jiankang Xie, Mr. Yongjie Wang, Mr. Jiaqing Duan, Mr. Xin Chen, Mr. Liang Xue, Mr. Jiahang Lv, Mr. Gaoquan Sun, and Mr. Jiakun Huang of Tongji University is also highly appreciated.

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Go to ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 9Issue 4December 2023

History

Received: Apr 1, 2023
Accepted: Jun 15, 2023
Published online: Aug 8, 2023
Published in print: Dec 1, 2023
Discussion open until: Jan 8, 2024

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Lecturer, College of Civil Engineering, Nanjing Tech Univ., Nanjing 211816, PR China. ORCID: https://orcid.org/0000-0002-4689-6127. Email: [email protected]
University Distinguished Professor, State Key Laboratory of Disaster Reduction in Civil Engineering & College of Civil Engineering, Tongji Univ., Shanghai 200092, PR China (corresponding author). ORCID: https://orcid.org/0000-0001-8520-0383. Email: [email protected]

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  • New Approach for Conditional Coring in RC Structures Using Bivariate Distributions of Nondestructive Test Results, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 10.1061/AJRUA6.RUENG-1236, 10, 3, (2024).

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