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A platform for research: civil engineering, architecture and urbanism
Towards a more accurate shrinkage modeling of lightweight and infra-lightweight concrete
https://orcid.org/0000-0003-1602-6988
https://orcid.org/0000-0002-8679-3659
Highlights Insulating structural concrete containing expanded clay and glass are produced and tested. A mathematical method for extrapolating experimental shrinkage is applied. Shrinkage models (ACI & fib) are calibrated for infra-LW and LW concrete. Mixes are suitable for insulating & structural applications in low-rise buildings.
Abstract Infra-lightweight concrete (ILWC) has gained importance in recent years because of its thermal insulation properties; nonetheless, the potential structural applications of these concretes are restrained because the shrinkage of these concretes is not accurately estimated by current prediction models, specifically those in ACI 209.2R-08. The aim of this study is to adjust the prediction models of this phenomenon in lightweight concretes (LWC) through the calibration of existing models by means of statistical analysis of the models included in ACI 209.2R-08 and the fib. Calibration constants and corrections for the prediction models were found for adjusting the prediction models to LWC and ILWC, achieving R 2 values of 0.94 and 0.98, respectively. Based on these results, further research on how porosity, water migration, and other lightweight aggregate properties affect the evolution of shrinkage in LWC should be performed to upgrade prediction models.
Towards a more accurate shrinkage modeling of lightweight and infra-lightweight concrete
https://orcid.org/0000-0003-1602-6988
https://orcid.org/0000-0002-8679-3659
Highlights Insulating structural concrete containing expanded clay and glass are produced and tested. A mathematical method for extrapolating experimental shrinkage is applied. Shrinkage models (ACI & fib) are calibrated for infra-LW and LW concrete. Mixes are suitable for insulating & structural applications in low-rise buildings.
Abstract Infra-lightweight concrete (ILWC) has gained importance in recent years because of its thermal insulation properties; nonetheless, the potential structural applications of these concretes are restrained because the shrinkage of these concretes is not accurately estimated by current prediction models, specifically those in ACI 209.2R-08. The aim of this study is to adjust the prediction models of this phenomenon in lightweight concretes (LWC) through the calibration of existing models by means of statistical analysis of the models included in ACI 209.2R-08 and the fib. Calibration constants and corrections for the prediction models were found for adjusting the prediction models to LWC and ILWC, achieving R 2 values of 0.94 and 0.98, respectively. Based on these results, further research on how porosity, water migration, and other lightweight aggregate properties affect the evolution of shrinkage in LWC should be performed to upgrade prediction models.
Towards a more accurate shrinkage modeling of lightweight and infra-lightweight concrete
https://orcid.org/0000-0003-1602-6988
https://orcid.org/0000-0002-8679-3659
Highlights Insulating structural concrete containing expanded clay and glass are produced and tested. A mathematical method for extrapolating experimental shrinkage is applied. Shrinkage models (ACI & fib) are calibrated for infra-LW and LW concrete. Mixes are suitable for insulating & structural applications in low-rise buildings.
Abstract Infra-lightweight concrete (ILWC) has gained importance in recent years because of its thermal insulation properties; nonetheless, the potential structural applications of these concretes are restrained because the shrinkage of these concretes is not accurately estimated by current prediction models, specifically those in ACI 209.2R-08. The aim of this study is to adjust the prediction models of this phenomenon in lightweight concretes (LWC) through the calibration of existing models by means of statistical analysis of the models included in ACI 209.2R-08 and the fib. Calibration constants and corrections for the prediction models were found for adjusting the prediction models to LWC and ILWC, achieving R 2 values of 0.94 and 0.98, respectively. Based on these results, further research on how porosity, water migration, and other lightweight aggregate properties affect the evolution of shrinkage in LWC should be performed to upgrade prediction models.
Towards a more accurate shrinkage modeling of lightweight and infra-lightweight concrete
Labbé, Sebastián (author) / Lopez, Mauricio (author)
2020-02-05
Article (Journal)
Electronic Resource
English
Towards a more accurate shrinkage modeling of lightweight and infra-lightweight concrete
| DataCite | 2020
Towards a more accurate shrinkage modeling of lightweight and infra-lightweight concrete
| BASE | 2020