Title: Development of 3D printed networks in self-healing concrete - data

Citation
De Nardi C, Jefferson AD, Gardner DR (2020). Development of 3D printed networks in self-healing concrete - data. Cardiff University. http://doi.org/10.17035/d.2020.0103500878


Access Rights: Data is provided under a Creative Commons Attribution (CC BY 4.0) licence
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
Coverage start date: 12/03/2020
Coverage end date: 31/03/2020
Data format: .xlsx
Estimated total storage size of dataset: Less than 100 megabytes
Number of Files In Dataset: 3
DOI: 10.17035/d.2020.0103500878
Related URL: https://rm4l.com/

Description

Data available are Load -CMOD results of different series of 3 point flexural test carried out on prismatic concrete specimens. The samples contain 3D printed mini-vascular networks, so-called TETs. The load was controlled using feedback from Crack Mouth Opening Displacement (CMOD) clip gauge. The CMOD rate was 0.001 mm/s.

Data are available in .xls files with a 2 column format for Load (kN) and CMOD (mm). Each file has a text header with descriptive data.

Research results based upon these data are published at https://doi.org/10.3390/ma13061328



Keywords

3D Printing, Concrete, Self-healing, self-healing polymers

Related Projects
Resilient materials for life (RM4L) (03/04/2017 - 02/10/2022)

Last updated on 2020-05-05 at 15:25