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The combination of the recent advances in
computational and distributed sensor network
technologies provide a unique opportunity for
focused eŽorts on high confidence modelling and
simulation of multiphysics systems. In response to
this opportunity, this projects attempts to
develop the architecture and the implementation of a
data-driven environment for multiphysics
applications (DDEMA) as a multidisciplinary problem
solving environment (MPSE). The goal of this
environment is to support the automated
identification and eącient prediction of the
behavioral response of multiphysics continuous
interacting systems.
Our design takes into consideration
heterogeneous and distributed information
technologies, coupled multiphysics sciences, and
sensor originating data to drive and to steer
adaptive modelling and simulation of the underlying
systemic behavior.
The design objectives and proposed software
architecture are defined in the context of two
multidisciplinary applications related to
material-structure design of supersonic platforms
and fire/material/environment interaction
monitoring, assessment and management.
These applications of DDEMA will be distributed over
a highly heterogeneous networks that extend from
light and ubiquitous resources (thin portable
devices/clients) to heavy GRID-based computational
infrastructure.
Our team includes researchers from five main
institutions i.e. Stanford University, Naval Research
Laboratory, Purdue University, University of Colorado,
and University of Thessaly.
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