||New emerging materials with improved or specifically tailored mechanical properties are currently used in mechanical design to meet ever more stringent performance requirements. To do so, modern mechanical design heavily relies on numerical simulations. Advanced constitutive models enable capture the complex material behavior, but usually require the identification of a large number of parameters. The latter often hampers the industrial application of advanced constitutive material models. In this mini-symposium, we welcome contributions aiming at devising efficient inverse identification strategies and procedures which mitigate the calibration effort of advanced constitutive material models.
Visit the conference website, NUMIFORM 2019, for information about publication opportunities.