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• W2314904090 abstract "Over the years, great progress has been made in high fldelity physics models and their solution. Speed, accuracy and veriflcation all continue to increase substantially, such that models possess a much more complete embodiment of the physics and computational robustness in their resulting equations. Optimization techniques and algorithms have made similar advances, such that optimization of many medium fldelity physics based systems and large linear systems are now considered tractable. The nonlinear aeroelastic system studied here is comprised of a clamped, square plate in high-speed ∞ow. The structure is modeled by the von Karman plate equations (for in-plane and out-of-plane displacements), and the aerodynamics are modeled with piston theory. An environment (e.g., a ∞uid and its properties) is never the same every time it’s entered, nor is every system (e.g., a ∞eet of 100 air vehicles) in a manufactured set comprised of identical members. Therefore, the response of a set of manufactured systems in an uncertain environment for a given set of parameters will have a statistical distribution of some sort. In the interest of incorporating these realities into system modeling, many probabilistic techniques have been developed. Monte Carlo simulation (MCS) is considered the most robust and reliable of these techniques, but also the most computationally expensive. This computational expense occurs because 1) the number of MCS simulations required to describe the system or environment in a probabilistic manner is large, and 2) MCS is typically run on a model the size of the deterministic model. Even today’s high computational speeds do not always render the problem of bounding the probabilistic system response computationally tractable. Stochastic analysis is performed through MCS, assuming that the stifiness properties of the plate spatially vary in a correlated fashion. Particular attention is given to the need to capture the spatial variability of panel properties in the simulation ensemble." @default.
• W2314904090 created "2016-06-24" @default.
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• W2314904090 date "2006-09-06" @default.
• W2314904090 modified "2023-09-26" @default.
• W2314904090 title "Non-Deterministic Verification of a Spatially Optimized Nonlinear Aeroelastic Design" @default.
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• W2314904090 doi "https://doi.org/10.2514/6.2006-7037" @default.
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