An inverse analysis approach for the identification of the hygro-thermo-chemical model parameters of concrete

作者: Massimiliano Bocciarelli , Gianluca Ranzi

DOI: 10.1016/J.IJMECSCI.2018.01.035

关键词:

摘要: Abstract Hygro-thermo-chemical models provide useful representations of the mechanisms moisture transport and temperature variations that take place in concrete structures can influence their durability service behaviour. Several material parameters need to be specified when performing a hygro-thermo-chemical simulation. While some these evaluated based on mix specifications or from data reported literature, other are not readily available partly because large variability they do possess precise physical meaning. In this context, paper presents robust inverse analysis procedure for identification latter set parameters. The problem is formulated by using relative humidity profiles taking within component as input. proposed approach applied evaluate minimum number measurements necessary performed successful sought Representative results an extensive sensitivity presented gain insight into most effective locations instants time should collected. then validated against pseudo-experimental affected different levels noise, highlighting robustness methodology with arrangements suggested terms discrete monitoring periods.

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