Engineering Microbial-Induced Carbonate Precipitation via Meso-Scale Simulations
Lead Research Organisation:
CARDIFF UNIVERSITY
Department Name: Sch of Engineering
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
Organisations
Publications
Freeman BL
(2021)
Multi-scale modelling of carbonation of self-healing concrete
Jefferson A
(2022)
A crack-opening-dependent numerical model for self-healing cementitious materials
in International Journal of Solids and Structures
Alex A
(2023)
Carbonation and self-healing in concrete: Kinetic Monte Carlo simulations of mineralization
in Cement and Concrete Composites
Jefferson A
(2023)
The application of a curing front model to simulate healing in a cementitious microbial system
in MATEC Web of Conferences
Freeman B L
(2023)
A 3D coupled finite element model for simulating mechanical regain in self-healing cementitious materials
in ASCE Journal of Engineering Mechanics
Bagga M
(2023)
Assessing the potential application of bacteria-based self-healing cementitious materials for enhancing durability of wastewater treatment infrastructure
in Cement and Concrete Composites
| Description | The work provided a unique link between a nano-level simulation of natural (autogenous) healing in the cementitious material and macro-scale healing. This research paved the way for on-going research on modelling micobial healing in these materials. |
| Exploitation Route | A bid has been prepared and will be submitted shortly that includes a mcirobial healing component (from Bath university). This focuses on manufacturing bimimetic materials for the construction industry. Some of the research undertaken is also relevant to Cristina de Nardi's ongoing Leverhulme fellowship on self healing in histroic masonry. |
| Sectors | Construction |
| Description | See return for the lead grant EP/S013997/1 In Cardiff, the work on this grant and on the modelling of microbial systems undertaken in Programme Grant RM4L were undertaken together, many of the impacts highlighted for RM4L are also relevant to this grant. |
| First Year Of Impact | 2021 |
