Title: Simulating the self-healing processes of an autonomic cementitious material system - data


Citation
Jefferson AD, Freeman BL (2020). Simulating the self-healing processes of an autonomic cementitious material system - data. Cardiff University. https://doi.org/10.17035/d.2020.0082102087



Access Rights: Creative Commons Attribution 4.0 International

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, .f90, .txt, .xmcd, .dat

Software Required: Mathcad is required to view the Mathcad sheets and an Intel FORTRAN compiler is required to compile the FORTRAN source code.

Estimated total storage size of dataset: Less than 100 megabytes

Number of Files In Dataset: 42

DOI : 10.17035/d.2020.0082102087

DOI URL: http://doi.org/10.17035/d.2020.0082102087


Description

The behaviour of autonomic self-healing cementitious materials (SHCM) depends on a set of interacting mechanical, chemical and transport processes. This dataset contains data corresponding to 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 model simulates each of the physical processes in turn using a set of component models, including a damage-healing model that allows for simultaneous cracking and healing, as well as re-cracking and re-healing. In addition to a number of Excel files that contain the results produced by the model for a number of example problems, this dataset also contains Mathcad sheets, in which the damage-healing model is implemented, and FORTRAN source code, in which the full model is implemented. Finally, a set of data files are also provided that correspond to example problems concerning a SHCM with embedded channels in i) three-point bending test with both paused and continuous loading during the healing period and ii) Nooru-Mohamed test reimagined as a healing test.


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Last updated on 2024-26-02 at 15:37