INTEC   05402
INSTITUTO DE DESARROLLO TECNOLOGICO PARA LA INDUSTRIA QUIMICA
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
High performance model-order-reduction methods in computational multiscale simulations of non-linear solids (Semi-Plenary lecture by J. Oliver)
Autor/es:
J. OLIVER,; J. HERNANDEZ; A.E HUESPE; M.CAICEDO
Lugar:
Viena
Reunión:
Congreso; ECCOMAS 2012, 6th European Congress on Computational Methods in Applied Sciences and Engineering; 2012
Institución organizadora:
ECCOMAS
Resumen:
The unwavering quest for new, high-performance materials poses, in turn, unprecedented challengesto devise and develop new modeling tools able to predict, within reasonable accuracy, the mechanicalbehavior of such materials by taking into account phenomena operating on vastly different scales.Since traditional phenomenological approaches fall clearly short in describing such scale interactions,in recent years a new paradigm, in computational mechanics, has emerged to address this issue:computational multiscale modeling (CMM). Hierarchical methods, sometimes referred to assequential or information-passing methods, are the most widely used CMM techniques [1]. They arebased on the bottom-up, one-way coupled, description of the material structure modeled by asequence of small, nested volumes, each representative of a particular scale (the unit cells orrepresentative volume elements (RVE)); starting from the finest level in the microstructure, theresponse of one scale is computed and infused via cell-averaging techniques (homogenization) intothe next coarser level of detail, and so on until arriving at the scale at which engineering predictionsare needed (the macroscopic scale), see Figure 1.Figure 1.