Sourcecode - Simulation and experimental studies of self-healing capacity in cement mortars incorporating cement-based capsules

Published: 12 September 2022| Version 1 | DOI: 10.17632/h2cn737s65.1
Contributor:
Anno Hein

Description

In the present Python source code the random distribution of capsules containing healing agent is simulated in view of crack healing in cement bodies. A predefined number of spherical capsules with a size following either normal or log-normal distribution is randomly placed in a box-shaped cement body. The true volume percentage of the capsules is calculated as well as the apparent volume percentage in a section in the center of the specimen. Furthermore a crack is simulated in this section calculating the healing agent released from broken capsules at increasing crack depth taking into account shell thickness of the capsules as well as potential swelling of the healing agent. The Python source code has been used in the case study 'Simulation and experimental studies of self-healing capacity in cement mortars incorporating cement-based capsules' by S. Papaioannou, A. Hein, M. Amenta, V. Kilikoglou, D. Gournis, I. Karatasios in order to monitor experimental results.

Files

Institutions

National Centre for Scientific Research-Demokritos

Categories

Computer Program, Computer Simulation, Application of Monte Carlo Method

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