Possibilities for numerical model validation through computed tomography measured data
Research output: Contribution to journal › Conference article › Contributed › peer-review
Contributors
Abstract
In order to make accurate predictions of the structural behaviour of non-metallic reinforced concrete elements, one of the key problems in the development of this type of new material system is the capacity of modelling the load transfer mechanisms between the concrete matrix and the reinforcement elements. To predict the load-deflection response up to ultimate limit state conditions, a wide range of numerical simulation approaches, with capability of modelling the bond behaviour between the different materials has been proposed over the years and compared to experimental results. This research work presents new possibilities for comparing numerical finite elements models with laboratory data generated by computed tomography, namely in the context of three-point bending tests performed on carbon-reinforced concrete specimens. The aim is to present the potential of in situ computed tomography for validation of numerical simulations. Examples of computed tomography generated quantitative results and data visualisation are shown, which focus on generated displacement fields and crack patterns.
Details
| Original language | English |
|---|---|
| Number of pages | 12 |
| Journal | World Congress in Computational Mechanics and ECCOMAS Congress |
| Publication status | Published - 1 Jul 2024 |
| Peer-reviewed | Yes |
Conference
| Title | 16th World Congress on Computational Mechanics & 4th Pan American Congress on Computational Mechanics |
|---|---|
| Abbreviated title | WCCM-PANACM 2024 |
| Duration | 21 - 26 July 2024 |
| Location | Vancouver Convention Centre |
| City | Vancouver |
| Country | Canada |
External IDs
| ORCID | /0000-0001-6666-5388/work/167214649 |
|---|---|
| ORCID | /0000-0002-1596-7164/work/167216964 |
| ORCID | /0000-0002-0101-221X/work/167217069 |
Keywords
Keywords
- Carbon-Reinforced Concrete, Computed Tomography, DVC, FEM