System-of-Systems Engineering - Liophant Simulation

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Engineers use many types of models...CAD Modelshttp://www.ansys.com/Drawingsmcgettrickengineering.comPhysics-Based ModelsSoftware ModelsConceptual ModelsStructural ModelsMathematical ModelsConstructive ModelsDeveloping Methods and Techniques for System of Systems EngineeringDr. Dimitri Mavris, dimitri.mavris@ae.gatech.edu60
A New Paradigm Shift: Simulation Based Engineering Science• Numerous expert-opinion-based techniques exist for resource allocation– Difficult to extrapolate technology impacts to system-of-systems level where interactionsdominate• Decisions that shape the future of the United States Armed Forces must be enabledby advances in modeling and simulation tools, methods, and techniques [Shelton,2001]• According to the NSF Simulation-BasedEngineering Science Report (Feb 2006),simulation:– “can be used to explore new theories and todesign new experiments to test these theories”– “also provides a powerful alternative to thetechniques of experimental science andobservation when phenomena are not observableor when measurements are impractical or tooexpensive”Developing Methods and Techniques for System of Systems EngineeringDr. Dimitri Mavris, dimitri.mavris@ae.gatech.edu61
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Developing Methods and Techniques f
Page 3 and 4:
The Aerospace Systems Design Labora
Page 5 and 6:
Motivation- Emphasis on “Early-Ph
Page 7 and 8:
What is a system?“A set of functi
Page 9 and 10: System of Systems• “A set or ar
Page 11 and 12: What is SoSE?• System of Systems
Page 13 and 14: The Evolution of New Ideas“All tr
Page 15 and 16: What is needed for this New Paradig
Page 17 and 18: An Architecture-based Approach to S
Page 19 and 20: The System Alternative Space• The
Page 21 and 22: The Architecture-based Technology E
Page 23 and 24: Extension to Systems-of-Systems Ana
Page 25 and 26: Fundamental Properties of a Complex
Page 27 and 28: Enablers for Complex SoS• Design
Page 29 and 30: Design of Experiments• Design of
Page 31 and 32: Design of Computer Simulation• Co
Page 33 and 34: Agent-Based Behavioral Modeling•
Page 35 and 36: System Dynamics Modeling• System
Page 37 and 38: Discrete Event Simulations• Discr
Page 41 and 42: Surrogate ModelsWhy do we use surro
Page 43 and 44: Challenges to Surrogate Modeling fo
Page 45 and 46: Fitting Modal ResponsesDeveloping M
Page 51 and 52: Pareto Optimal Solutions in Many Di
Page 53 and 54: Interactive Electronic Design Revie
Page 55 and 56: Collaboration and Integration in So
Page 57 and 58: Concluding Remarks• System of Sys
Page 59: Selecting a DesignDeveloping Method
Page 63 and 64: Which are simple? Which arecomplica
Page 65 and 66: What is a Markov Chain• Markov Ch
Page 67 and 68: Markov Chains• The transition pro
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System-of-Systems Engineering - Liophant Simulation

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