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Damage identification using sensitivity enhancing control with an identified model.

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Call No.	Ph.D. 2004
Author	Solbeck, Jason A.
Title	Damage identification using sensitivity enhancing control with an identified model.
Date	2004
Abstract	Autonomous damage detection in engineering structures is critically important as the demands placed upon those structures are increased. It has been well established that damage detection can be done through monitoring the modal frequencies of the structure for changes, and furthermore through the use of various techniques, it is possible to relate the pattern of modal frequency changes to a specific damage state. These forward methods generally require good sensitivity of natural frequency changes to damage states as well as a rich data set to avoid ill-conditioning. In order to deal with the low sensitivity of natural frequencies to structural changes, sensitivity-enhancing controllers are used to amplify these changes. Through the use of these controllers, coupled with the open-loop structural response, it is possible to improve the results of existing damage identification methods or to implement those methods in situations where it would not have otherwise been possible due to insufficient modal data. This work extends these forward techniques through the inclusion of additional modal properties. These techniques are applied in a laboratory situation, where it becomes critical to be able to identify a numerical model of the structure from available input-output data. If it is possible to identify a structural model, this model becomes the analytic model that is used to develop damage hypothesis data. The identified model is also the source of the measured modal data used when comparing experimentally measured damage cases to analytically derived damage hypotheses. It is shown that damage identification is very possible in relatively simple structures where high fidelity structural models either exist or can be identified. It is also shown that in a more complex structure, damage identification becomes much more challenging.
Description	xxiv, 311 leaves : ill. (some col.) 28 cm.
Format	application/pdf
Advisor	Laura R. Ray.
Subject	Automatic control -- Sensitivity. Structural control (Engineering). Strains and stresses -- Computer simulation. Structural analysis (Engineering). Engineering models.
College	Thayer School of Engineering.
Issuing Body	Dartmouth Dissertations are made available through the Dartmouth Digital Library.
Degree	Thesis (Ph.D.)--Dartmouth College.
Copyright	All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means without permission in writing from the author.
DOI	http://dx.doi.org/10.1349/ddlp.50

Title	Page 1
Format	application/pdf
Issuing Body	Dartmouth Dissertations are made available through the Dartmouth Digital Library.
Degree	Thesis (Ph.D.)--Dartmouth College.
Full Text	DAMAGE IDENTIFICATION USING SENSITIVITY-ENHANCING CONTROL WITH AN IDENTIFIED MODEL A Thesis Submitted to the Faculty in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY by JASON A. SOLBECK Thayer School of Engineering Dartmouth College Hanover, New Hampshire SEPTEMBER 2004 Examining Committee Laura R. Ray, Ph.D. (Chair) Minh Q. Phan, Ph.D. Eric W. Hansen, Ph.D. Harley H. Cudney, Ph.D. Charles K. Barlowe, Ph.D. Dean of Graduate Studies Jason A. Solbeck c 2004 Trustees of Dartmouth College

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