are experts in developing computer models that simulate
the performance of complex systems in a top-down approach.
of such models is to simulate in the more efficient
way and just develop complexity where and when it is
models are use to gain a diagnostic understanding of
the system, ask "what if" questions, and evaluate
alternative designs, policies, and plans.
shows that with creativity most of the problems can
be addressed under a new conceptual model that is more
efficient and cost effective.
are interested in viewing more details of the project
bellow, please email us, we can arrange a web presentation
of pollution transport in water
objective here is to simulate the transport of solute
contaminants in water. Here we storage a radioactive
source underground several hundreds meters, with time
the local protection is corroded by water and the dissolved
elements are transported via water until the surface.
We studied the influence of the uncertainty in several
physical parameters (the values describing the physical
behavior of the model).
This model considered both near field with physical
process (i.e, diffusion in clay, advection in porous
media) occurring at the scale of meters and far field
transport parameters with transport process occurring
at the kilometer scale. A post-treatment study of the
most influent parameter for the overall uncertainty
of the system was developed and concluded that the diffusion
coefficient was the single major uncertainty driver
of the system.
developed a river water quality model to compare the
cost and river water quality for different investment
options. The model compared different scenarios for
implementing waste water treatment plants (Wwtp) that
discharged to a river and the corresponding impact in
the river water quality. The costs are function of the
discharge concentration in the river and of the population
linked to the Wwtp. The client obtained a decision tool
that quantified his several alternatives based on both
the environmental and financial impacts.
Simulation of the solid flow in a Turbine to study the
influence of the internal failure of its components
in the overall behavior of the engine as well as its
kind of model works under a statistical approach of
the reliability ; the model will find itself the composition
of failure modes of the components that could cause
the failure of the entire engine based in the individual
failure rate of each component. The system need to be
modeled with all physical relationship between his parts.
assessment of an underground oil spill and the potential
impact in the groundwater, soil and air. We developed
a model for the multiphase flow (air, soil, water) to
study the range of possible mass transfer for a specific