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Description
Title: | On-Line Monitoring, Control, and Reliability of Structural Dynamical Systems |
Author(s): | Johnson, Erik Arthur |
Doctoral Committee Chair(s): | Bergman, Lawrence A.; Voulgaris, Petros G. |
Department / Program: | Aerospace Engineering |
Discipline: | Aerospace Engineering |
Degree Granting Institution: | University of Illinois at Urbana-Champaign |
Degree: | Ph.D. |
Genre: | Dissertation |
Subject(s): | Applied Mechanics |
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. |
Issue Date: | 1997 |
Type: | Text |
Language: | English |
Description: | 368 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997. |
URI: | http://hdl.handle.net/2142/85125 |
Other Identifier(s): | (MiAaPQ)AAI9812643 |
Date Available in IDEALS: | 2015-09-25 |
Date Deposited: | 1997 |
This item appears in the following Collection(s)
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Dissertations and Theses - Aerospace Engineering
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Graduate Dissertations and Theses at Illinois
Graduate Theses and Dissertations at Illinois