Abstract:The use of surrogate models to approximate computationally expensive simulation models, e.g., large comprehensive finite element models, is widespread. Applications include surrogate models for design, sensitivity analysis, and/or uncertainty quantification. Typically, a surrogate model is defined by a postulated functional form; values for the surrogate model parameters are estimated using results from a limited number of solutions to the comprehensive model. In general, there may be multiple surrogate models… Show more
“…This approach has proved successful when applied to high risk systems with a fair understanding of the consequences of unsatisfactory system behavior. Example applications include the shock response mitigation of a flexible structure during penetration of a hard target [23], the detection and monitoring of vehicles in the vicinity of critical national assets [24], and aerodynamics models for turbulent pressure fluctuations during atmospheric re-entry of a spacecraft [25].…”
Section: Optimal Model By Decision-theoretic Methodsmentioning
“…This approach has proved successful when applied to high risk systems with a fair understanding of the consequences of unsatisfactory system behavior. Example applications include the shock response mitigation of a flexible structure during penetration of a hard target [23], the detection and monitoring of vehicles in the vicinity of critical national assets [24], and aerodynamics models for turbulent pressure fluctuations during atmospheric re-entry of a spacecraft [25].…”
Section: Optimal Model By Decision-theoretic Methodsmentioning
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