Otherwise it's not science.
But scientists don't use them effectively.
“ Computational science is a special case of scientific research: the work is easily shared via the Internet since the paper, code, and data are digital and those three aspects are all that is required to reproduce the results, given sufficient computation tools. ” - Stodden, 2010.
Severe accident neutronics and thermal hydraulics can be simulated beautifully for simple geometries and well studied materials. (below, INL BISON work.)
“ Organized Skepticism. Scientists are critical: All ideas must be tested and are subject to rigorous structured community scrutiny.” - R.K. Merton, 1942
Version Control Systems: cvs, svn, hg, git
“ The scientific method’s central motivation is the ubiquity of error—the awareness that mistakes and self-delusion can creep in absolutely anywhere and that the scientist’s effort is primarily expended in recognizing and rooting out error. ” - Donoho, 2009.
# External Reactivity from reactivity_insertion import RampReactivityInsertion rho_ext = RampReactivityInsertion(timer=ti, t_start=t_feedback + 10.0*units.seconds, t_end=t_feedback + 20.0*units.seconds, rho_init=0.0*units.delta_k, rho_rise=600.0*units.pcm, rho_final=600.0*units.pcm)
fuel = th.THComponent(name="fuel", mat=TRISO(), vol=vol_fuel, T0=t_fuel, alpha_temp=alpha_fuel, timer=ti, heatgen=True, power_tot=power_tot/n_pebbles, sph=True, ri=r_mod, ro=r_fuel ) mod = th.THComponent(name="mod", mat=Graphite(), vol=vol_mod, T0=t_mod, alpha_temp=alpha_mod, timer=ti, sph=True, ri=0.0, ro=r_mod) cool = th.THComponent(name="cool", mat=Flibe(), vol=vol_cool, T0=t_cool, alpha_temp=alpha_cool, timer=ti) shell = th.THComponent(name="shell", mat=Graphite(), vol=vol_shell, T0=t_shell, alpha_temp=alpha_shell, timer=ti, sph=True, ri=r_fuel, ro=r_shell)
# The coolant convects to the pebbles cool.add_convection('pebble', h=h_cool, area=a_pb) cool.add_advection('cool', m_flow/n_pebbles, t_inlet, cp=cool.cp)
Hundreds of discrete facilities mine, mill, convert, fabricate, transmute, recycle, and store nuclear material.
An agent-based simulation is made up of actors and communications between those actors.
A facility might create material.
It might request material.
It might do both.
Even simple fuel cycles have many independent agents.
If a decision problem is in NP-C, then the corresponding optimization problem is NP-hard.
mox- waste+ spent_fuel mox_fresh_fuel mox_spent_fuel
Power generated by reactor type.
Capacity deployed each year, by reactor type.