Rebars are applied in the construction sector to provide the building structure with suitable tensile strength and resistance for eansuring safety. Rebars are produced through heat treatments within the TempCore® process, which aims at obtaining an internal structure of the material that allows achieving the desired mechanical characteristics. In this work advanced data processing techniques and data-driven models are used in order to develop predictive models for the main mechanical characteristics of the rebars using information on the chemical composition of the steel and on the heat treatments as well as the results of a finite element model estimating the microstructure of the bars. The models discussed in the article have been trained and validated using plant data and, in light of the results obtained, can be used in the product engineering as well as in the configuration of the TempCore® process.

Prediction of the mechanical properties of rebars through a combination of finite element and data-driven models

Colla V.;Valentini R.
2020-01-01

Abstract

Rebars are applied in the construction sector to provide the building structure with suitable tensile strength and resistance for eansuring safety. Rebars are produced through heat treatments within the TempCore® process, which aims at obtaining an internal structure of the material that allows achieving the desired mechanical characteristics. In this work advanced data processing techniques and data-driven models are used in order to develop predictive models for the main mechanical characteristics of the rebars using information on the chemical composition of the steel and on the heat treatments as well as the results of a finite element model estimating the microstructure of the bars. The models discussed in the article have been trained and validated using plant data and, in light of the results obtained, can be used in the product engineering as well as in the configuration of the TempCore® process.
2020
Colla, V.; Vannucci, M.; Valentini, R.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1076435
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