Characterisation of a vascular self-healing cementitious material system - data
Self-healing cementitious materials have received significant attention from researchers in recent years. The motivation for this research effort arises from the durability problems, often resulting from concrete cracking, associated with concrete structures. This dataset contains the results of an experimental programme of work, undertaken to characterise the behaviour of a self-healing cementitious material system. A ‘model’ material system is selected comprising concrete with embedded channels filled with cyanoacrylate (CA). The programme considered both the mechanical damage-healing behaviour and the flow and curing aspects of the model material. The dataset contains 15 Excel files, which contain the measured experimental data, as well as the results of theoretical model predictions. The files correspond to: i) direct tension tests on notched concrete cubes, ii) flexural tests on notched prismatic concrete beams, iii) flexural tests on notched beams with offset reinforcement, iv) capillary flow tests of CA in a static natural crack, v) sorption tests of CA through cracks surface into concrete specimen, vi) curing front tests of CA adjacent to a concrete substrate and vii) dynamic contact angle tests of CA in capillary channels.
Research results based upon these data are published at https://doi.org/10.1016/j.conbuildmat.2020.119245
Funding
Resilient Materials for Life (RM4L)
Engineering and Physical Sciences Research Council
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