Abstract
Within the framework of the thermodynamics of irreversible processes, one introduces a general vision of data-driven computational mechanics, adapted to history-dependent materials, through the concept of the “Experimental Constitutive Manifold” (ECM). The mathematical structure of the ECM, which involves internal state variables, constitutes the material model associated with the available experimental data. The hidden variables are not known a priori but are calculated from the experimental data thanks to the so-called “ECM-Central Problem”. This paper also tries to present recent advances in the data-driven computation approach. The potential applications are illustrated through the proposed new way to describe mathematically the material, where a priori assumptions on modelling are absent.
This paper is dedicated to Peter Wriggers for his 70th birthday. I first met Peter a long time ago and, frankly, I don’t remember when our friendship began. Peter is not only an internationally renowned scientist, but also a warm-hearted person who respects and cares for others. We have participated together in many conferences, committees and a number of courses and, most recently, in the IRTG doctoral student exchange program between the University of Hanover and ENS Paris-Saclay directed by him and Olivier Allix. We had a great time together, not only at work. I remember in particular a wine tasting in Udine with also Erwin Stein and Rolf Rannacher and also exceptional evenings with our wives in great restaurants in Paris.
Pierre Ladevèze.
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Ladevèze, P., Gerbaud, PW., Néron, D. (2022). On a Physics-Compatible Approach for Data-Driven Computational Mechanics. In: Aldakheel, F., Hudobivnik, B., Soleimani, M., Wessels, H., Weißenfels, C., Marino, M. (eds) Current Trends and Open Problems in Computational Mechanics. Springer, Cham. https://doi.org/10.1007/978-3-030-87312-7_28
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