Abstract
Statistical models to estimate residual mechanical properties of post-heated self-compacting concrete (SCC) were developed and validated. The data, compiled from a series of non-destructive and destructive tests on various SCC specimens, damaged by exposure to high temperatures in the range of 300-600 °C, were employed in models development. Multivariate linear regression analysis was implemented to estimate the residual elasticity modulus and residual compressive strength of SCC as a function of damage indices obtained from non-destructive testing, as well as concrete mix parameters. Results indicated that the selected statistical models exhibited excellent fit of the data and represented well the physical behaviour as stipulated in literature. Hence, could be used as a simple powerful prediction tool to estimate residual mechanical properties of SCC at elevated temperatures reliably and efficiently, instead of cumbersome laboratory measurements.
| Original language | English |
|---|---|
| Pages (from-to) | 1-10 |
| Number of pages | 10 |
| Journal | European Journal of Environmental and Civil Engineering |
| Volume | 18 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2 Jan 2014 |
| Externally published | Yes |
Keywords
- high temperature
- modelling
- nondestructive tests
- relative humidity
- self-compacting concrete
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