journal article·2023-07Open access

Study on splitting tensile strength of interface between the full lightweight ceramsite concrete and ordinary concrete

Hongbing Zhu, Zhenghao Fu, Ye Wang, Na Zhang

Abstract

As a common lightweight aggregate concrete, the full lightweight ceramsite concrete has a very good engineering prospect, especially in the repair and reinforcement of existing concrete buildings. However, there were few studies on this aspect. The repair effect of repairing the structures of existing concrete (old concrete) with full lightweight ceramsite concrete (new concrete) was unknown. The influence of various factors on the tensile properties of this old and new concrete interface was unclear. In addition, the relevant calculation formula was also urgently needed to be investigated. This led to a lack of scientific reference in practical engineering. Therefore, ordinary concrete and full lightweight ceramsite concrete were used as the substrate material and the repair material, respectively. The tensile properties of interface between the full lightweight ceramsite concrete and ordinary concrete were systematically investigated by splitting tensile tests. As a result of this research, the repair effect of this restoration method was first obtained. Secondly, the relationship between three factors (the roughness of the interface, the interfacial agent and the difference in the curing age of the old and new concrete) and the tensile properties of the old and new concrete interface was revealed. Besides, the effects of these three factors on the tensile properties of the interface were quantified and ranked. Finally, a formula for calculating the tensile bearing capacity of the old and new concrete interface considering these three factors was established.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Innovative concrete reinforcement materials · Concrete and Cement Materials Research · Infrastructure Maintenance and Monitoring

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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