System-of-Systems Engineering - Liophant Simulation

Physical vs. Computational ExperimentsPhysical Experiments• Often a limited number offactors• Data collection must often bedone in “one shot” (forexample, one growing season)• Types of Error– Human Error: Experimentermakes a mistake– Systemic Error: Flaw inphilosophy of the experimentadds a consistent bias to result– Random Error: Measurementinaccuracies due to theinstruments being usedComputational Experiments•Often have a larger number offactors than real worldexperiments•Data collection is sequential innature•Types of Error– Human Error: Bugs in the code,incorrectly entered boundaryconditions, etc– Systemic Error: Consistenterrors due to approximations inthe code– Random Error: Does not exist incomputational experimentsDeveloping Methods and Techniques for System of Systems EngineeringDr. Dimitri Mavris, dimitri.mavris@ae.gatech.edu30