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| + | ==Abstract== | ||
| + | Predicting the time-dependent responses of concrete and concrete structures remains a challenging task in the construction sector. While experimental investigation serves as an essential cornerstone for concrete research, by itself it only offers limited insights into the complex time-dependent | ||
| + | behaviour of concrete. The complexity is due to the multiple coupled hygro-thermo-chemo-mechanical | ||
| + | processes. In the last two decades MARS, a special purpose computational software developed by ES3, | ||
| + | has shown the capability of turning such insights accessible. This paper aims to provide a state-of-theart of the MARS capabilities in concrete modelling, enriched with a discussion of some meaningful | ||
| + | examples. The multiphysics framework today available in MARS already allows to simulate a wide | ||
| + | range of complex phenomena, featuring the long-term performance of ordinary and advanced cementitious materials. | ||
| + | |||
| + | == Full Paper == | ||
| + | <pdf>Media:Draft_Sanchez Pinedo_44262032350.pdf</pdf> | ||
Latest revision as of 10:48, 3 October 2023
Abstract
Predicting the time-dependent responses of concrete and concrete structures remains a challenging task in the construction sector. While experimental investigation serves as an essential cornerstone for concrete research, by itself it only offers limited insights into the complex time-dependent behaviour of concrete. The complexity is due to the multiple coupled hygro-thermo-chemo-mechanical processes. In the last two decades MARS, a special purpose computational software developed by ES3, has shown the capability of turning such insights accessible. This paper aims to provide a state-of-theart of the MARS capabilities in concrete modelling, enriched with a discussion of some meaningful examples. The multiphysics framework today available in MARS already allows to simulate a wide range of complex phenomena, featuring the long-term performance of ordinary and advanced cementitious materials.
Full Paper
Document information
Published on 03/10/23
Submitted on 03/10/23
DOI: 10.23967/c.dbmc.2023.050
Licence: CC BY-NC-SA license
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