Abstract
This paper studies the effectiveness of an externally activated self-repairing technique for concrete members with epoxy injection network and Cu-Al-Mn superelastic alloy (SEA) reinforcing bars (rebars). Compared to existing crack self-repairing and self-healing techniques, the epoxy injection network has the following strengths: (1) Different from the self-repairing methods using brittle containers or tubes for adhesives, the proposed self-repair process can be performed repeatedly and is feasible for onsite concrete casting. (2) Different from the autogenic self-healing techniques, full strength recovery can be achieved in a shorter time period without the necessity of water. This paper attempts to enhance the self-repairing capability of the epoxy injection network by reducing residual cracks by using cost-effective Cu-based SEA bars. The effectiveness of the present technique is examined using concrete beam specimens reinforced by 3 types of bars. The first specimen is reinforced by steel deformed bars, the second by steel threaded bars, and finally by SEA threaded rebars. The tests were performed with a 3 point cyclic loading with increasing amplitude. From the test results, effective self-repairing was confirmed for small deformation levels irrespective of the reinforcement types. Effective self-repairing was observed in the SEA reinforced specimen even under much larger deformations. Nonlinear finite element analysis was performed to confirm the experimental findings.
Original language | English |
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Article number | 105027 |
Journal | Smart Materials and Structures |
Volume | 23 |
Issue number | 10 |
DOIs | |
Publication status | Published - 2014 Oct 1 |
Keywords
- Cu-Al-Mn
- activated self-repairing concrete
- cyclic loading
- network system
- shape memory alloy
- superelastic alloy
ASJC Scopus subject areas
- Signal Processing
- Civil and Structural Engineering
- Atomic and Molecular Physics, and Optics
- Materials Science(all)
- Condensed Matter Physics
- Mechanics of Materials
- Electrical and Electronic Engineering