Title: The simulation of transport processes in cementitious materials with embedded healing systems: data

Citation
Freeman BL, Jefferson AD (2020). The simulation of transport processes in cementitious materials with embedded healing systems: data. Cardiff University. http://doi.org/10.17035/d.2019.0082101918


Access Rights: Data can be made freely available subject to attribution
Access Method: Click to email a request for this data to opendata@cardiff.ac.uk

Cardiff University Dataset Creators

Dataset Details
Publisher: Cardiff University
Date (year) of data becoming publicly available: 2020
Data format: .xlsx
Estimated total storage size of dataset: Less than 100 megabytes
Number of Files In Dataset: 11
DOI: 10.17035/d.2019.0082101918
Related URL: http://rm4l.com/

Description

Self-healing cementitious materials are designed to mitigate the durability issues often associated with concrete structures. A significant number of these self-healing material systems employ encapsulated healing agents that are transported to the damage site when cracking occurs. This dataset contains the results produced by a new numerical model, applicable to autonomic self-healing systems in which embedded channels or vascular networks are employed to supply the healing agent. The dataset comprises 11 Excel files, which correspond to: i) the curing of cyanoacrylate and its effect on the viscosity, ii) dynamic contact angle of cyanoacrylate in capillary channels, iii) a parametric study on the effect inertia and dynamic contact angle on flow, iv) flow of cyanoacrylate in discrete cracks in concrete, v) calibration of the relative permeability model, vi) sorption of cyanoacrylate through a crack surface into concrete and vii) three-point bending test of concrete speciment with embedded channels filled with cyanoacrylate.

Research results based upon these data are published at https://doi.org/10.1002/nag.3017



Related Projects
Resilient materials for life (RM4L) (03/04/2017 - 02/04/2022)

Last updated on 2020-09-01 at 12:21