Uniaxial tensile response of basalt fiber with different structures reinforced fine-grained concrete via acoustic emission monitoring

Abstract

Uniaxial tensile behaviors of basalt fiber and basalt textile reinforced fine-grained concrete composites under the same fiber volume content with different curing cycles (7 days, 14 days, 21 days and 28 days) were investigated using acoustic emission technology (AE), specifically, including three types of basalt fibers (0.34%, 0.68% and 1.02%) and basalt textiles (1, 2 and 3). The results indicated that the tensile strength of specimens was positively correlated with the curing cycles. As the volume content of basalt fiber increased, the reinforcing effect on fine-grained concrete was improved. The Aveton-Cooper-Kelly (ACK) model was the starting point for analyzing the reinforcement mechanism of basalt textiles. Compared with basalt fibers, basalt textiles could significantly improve the cracking load, ultimate load, cracking displacement and ultimate displacement of fine-grained concrete. The specimens had obvious characteristics of strain hardening during the entire fracture process. The AE signals had a high correlation with the the load-displacement curves during entire experimental process. AE signals were classified to illustrate different fracture mechanisms: textiles slipping, textiles pulling out, matrix-textiles debonding and textiles breaking. AE technology was comprehensively used for the first time to compare and describe the uniaxial tensile properties of basalt fibers and basalt textiles reinforced fine-grained concrete composites.

Keywords:

• Basalt fiber
• basalt textile
• fine-grained concrete
• uniaxial tensile
• acoustic emission
• reinforcement mechanism

Disclosure statement

The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Correction Statement

This article has been corrected with minor changes. These changes do not impact the academic content of the article.

Additional information

Funding

This work was financially supported by the Postgraduate Research & Practice Innovation Program of Jiangsu Province (KYCX20_1785), the National Key Research and Development Program of China (2016YFB0303200), the China Scholarship Council (202106790066), and the Fundamental Research Funds for the Central Universities (JUSRP52007A).