On-Line Monitoring, Control, and Reliability of Structural Dynamical Systems
Johnson, Erik Arthur
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https://hdl.handle.net/2142/85125
Description
Title
On-Line Monitoring, Control, and Reliability of Structural Dynamical Systems
Author(s)
Johnson, Erik Arthur
Issue Date
1997
Doctoral Committee Chair(s)
Bergman, Lawrence A.
Voulgaris, Petros G.
Department of Study
Aerospace Engineering
Discipline
Aerospace Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Applied Mechanics
Language
eng
Abstract
"Ideas for improving the efficiency of Monte Carlo simulation (MCS) is the subject of the final section. Determining the low failure probabilities of typical engineering systems is quite difficult without using millions of MCS realizations to characterize the probability distribution. Several links between some MCS variance reduction techniques and Genetic Algorithms are discussed. A simple example, incorporating Genetic Algorithm operators into MCS, is shown to estimate probabilities a couple orders of magnitude smaller than standard MCS. Several concepts for characterizing the sense of a realization's ""importance"", such as discrepancy sensitivity and phase space velocity, are examined and found to successfully quantify realization importance."
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