Error Propagation and Metamodeling for a Fidelity Tradeoff Capability in Complex Systems Design

Error propagation;Metamodeling;Gaussian processes;Systems design;Design;Complex systems

McDonald, Robert Alan ; Aerospace Engineering

University:Georgia Institute of Technology

Department:Aerospace Engineering

关键词: Error propagation;    Metamodeling;    Gaussian processes;    Systems design;    Design;    Complex systems;   

Others  :  https://smartech.gatech.edu/bitstream/1853/11568/1/mcdonald_robert_a_200608_phd.pdf

美国|英语

来源: SMARTech Repository

【 摘 要 】

Complex man-made systems are ubiquitous in modern technological society.The national air transportation infrastructure and the aircraft that operate within it, the highways stretching coast-to-coast and the vehicles that travel on them, and global communications networks and the computers that make them possible are all complex systems.It is impossible to fully validate a systems analysis or a design process.Systems are too large, complex, and expensive to build test and validation articles. Furthermore, the operating conditions throughout the life cycle of a system are impossible to predict and control for a validation experiment.Error is introduced at every point in a complex systems design process. Every error source propagates through the complex system in the same way information propagates, feedforward, feedback, and coupling are all present with error.As with error propagation through a single analysis, error sources grow and decay when propagated through a complex system.These behaviors are made more complex by the complex interactions of a complete system.This complication and the loss of intuition that accompanies it make proper error propagation calculations even more important to aid the decision maker.Error allocation and fidelity trade decisions answer questions like:Is the fidelity of a complex systems analysis adequate, or is an improvement needed, and how is that improvement best achieved?Where should limited resources be invested for the improvement of fidelity?How does knowledge of the imperfection of a model impact design decisions based on the model and the certainty of the performance of a particular design?In this research, a fidelity trade environment was conceived, formulated, developed, and demonstrated.This development relied on the advancement of enabling techniques including error propagation, metamodeling, and information management.A notional transport aircraft is modeled in the fidelity trade environment.Using the environment, the designer is able to make design decisions while considering error and he is able to make decisions regarding required tool fidelity as the design problem continues.These decisions could not be made in a quantitative manner before the fidelity trade environment was developed.