This thesis deals with the modeling and simulation ofthe influence of the material substructure on the macroscopicmechanical properties of duplex stainless steel (DSS). Twosubscale levels and their interaction are considered: Grainstructure (mesoscale) and crystallographic structure (microscale).Typical mesoscale parameters are the volume fraction, morphologyand material properties of the two phases (ferrite and austenite).A multiscale modeling approach is adopted, whereby it is assumedthat the macro- and mesoscales are separated such that it ispossible to model the subscale effects within a representativevolume element (RVE) and to obtain the macroscale response viavolume averaging (computational homogenization). A new microscalematerial m...
The character of plastic deformation in ferritic-austenitic duplex steels is studied for both mechan...
This study presents some aspects of multiscale analysis and modeling of variously structured materia...
International audienceNumerical simulations of 304 austenitic stainless steel (SS304) cyclic and rat...
The development of advanced materials for a wide range of industrial applications is highly reliant ...
International audienceDuctile damage is a consequence of large strains more or less localized inside...
The multiscale model is proposed to explicitly account for the inhomogeneous structure of polycrysta...
© 2019 Elsevier B.V. In this article, a novel material modelling approach to predict the anisotropic...
Multiscale modelling of stress and strain partitioning in DP steel was carried out using both realis...
The objective of the work is to consider the first-order effects of the realistic microstructure mor...
The aim of this study is to investigate the impact of microstructure features on the crashworthiness...
From cyclic experimental tests, it has been found that the cyclic stress-strain behavior of duplex s...
The remarkable mechanical engineering properties of many advanced steels, e.g. TRIP steels and metas...
The objective of the work is to consider the first-order effects of the realistic microstructure mor...
Due to the existence of constituents with strong distinction in mechanical properties, dual phase st...
A major challenge for modeling the mechanics of engineering alloys is linking phenomena across multi...
The character of plastic deformation in ferritic-austenitic duplex steels is studied for both mechan...
This study presents some aspects of multiscale analysis and modeling of variously structured materia...
International audienceNumerical simulations of 304 austenitic stainless steel (SS304) cyclic and rat...
The development of advanced materials for a wide range of industrial applications is highly reliant ...
International audienceDuctile damage is a consequence of large strains more or less localized inside...
The multiscale model is proposed to explicitly account for the inhomogeneous structure of polycrysta...
© 2019 Elsevier B.V. In this article, a novel material modelling approach to predict the anisotropic...
Multiscale modelling of stress and strain partitioning in DP steel was carried out using both realis...
The objective of the work is to consider the first-order effects of the realistic microstructure mor...
The aim of this study is to investigate the impact of microstructure features on the crashworthiness...
From cyclic experimental tests, it has been found that the cyclic stress-strain behavior of duplex s...
The remarkable mechanical engineering properties of many advanced steels, e.g. TRIP steels and metas...
The objective of the work is to consider the first-order effects of the realistic microstructure mor...
Due to the existence of constituents with strong distinction in mechanical properties, dual phase st...
A major challenge for modeling the mechanics of engineering alloys is linking phenomena across multi...
The character of plastic deformation in ferritic-austenitic duplex steels is studied for both mechan...
This study presents some aspects of multiscale analysis and modeling of variously structured materia...
International audienceNumerical simulations of 304 austenitic stainless steel (SS304) cyclic and rat...