… Forming Data“ is treating the deformation behaviour of light metals in theory and practice. The
basic principles are presented in a compact form. The chapter „modelling“ … ) as a data bank …

… In the neural network modelling it is generally accepted that one part of the data (usually
two-thirds) is used for model training and the remaining part (usually one-third) is not used in …

… Existing product data exchange ontologies and … adequate modelling of building materials
for the BWA. In this paper, we propose a highly resilient and data-agnostic building materials …

… Recently there have been promising efforts in trying to unify the nomenclature and
standards in materials science by the European Materials Modelling Council,156 the Research …

… In the present paper, a simple plastic model is proposed; this model is based on data from
triaxial experiments and describes the material behaviour during iceberg impacts reasonably …

… 2 in that the interpretations of the macroscale experimental data in terms of underlying … data,
only a subset of those at 0.017% and 100% are shown as filled circles. Additionally, the data …

… It addresses the current lack, or inaccessibility, of data related to the durability of these
materials, which is proving to be one of the major challenges to the widespread acceptance and …

… , followed by the demonstration of a novel data curve fitting procedure used to derive material
coefficients for hyperelastic material modelling using PTC Creo 2.0 Simulate FE software. …

… Artificial neural networks learn the data structure through … materials and 6 parameters, the
number of hidden layer units of neural networks was changed between 2 and 5, and modelling …

… The main purpose of this book is to present the state of the art in material and process modelling
in a … The main focus here is the development of unified materials modelling theories for …