Design, evaluation, and validation of a naval ship structural health monitoring tool

Thesis: Nav. E., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.

Bibliographic Details
Main Author: Olena, Jessica Jill
Other Authors: Themistoklis P. Sapsis.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2017
Subjects:
Online Access:http://hdl.handle.net/1721.1/111892
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author Olena, Jessica Jill
author2 Themistoklis P. Sapsis.
author_facet Themistoklis P. Sapsis.
Olena, Jessica Jill
author_sort Olena, Jessica Jill
collection MIT
description Thesis: Nav. E., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.
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spelling mit-1721.1/1118922021-10-02T03:56:25Z Design, evaluation, and validation of a naval ship structural health monitoring tool Olena, Jessica Jill Themistoklis P. Sapsis. Massachusetts Institute of Technology. Department of Mechanical Engineering. Massachusetts Institute of Technology. Department of Mechanical Engineering. Massachusetts Institute of Technology. Department of Mechanical Engineering Mechanical Engineering. Thesis: Nav. E., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017. Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017. Cataloged from PDF version of thesis. Includes bibliographical references (pages 123-125). The US Navy implements structural preventative maintenance procedures onboard its vessels using ship's personnel inspection. These procedures have been largely successful in identifying major problem areas before any interference with mission execution has occurred. However, changes in the Navy's manning philosophy to minimal manning and new ship designs focused on automation encourage a re-evaluation of these structural preventative maintenance procedures. Automation of structural inspection and damage detection would reduce associated manpower costs as well as inform better preventative maintenance schedules for US Navy vessels. This study outlines a modeling tool for structural health monitoring using nonlinear Kalman Filter methodologies such as the Extended Kalman Filter and the Ensemble Kalman Filter to identify damage within a structural model. Through the observation of structural responses and the formulation of a Kalman Filter, it is possible to produce estimates of structural parameters related to damage, specifically changes to elastic modulus and changes in material density. The results of this modeling tool were evaluated to quantify the time and length scales required for damage detection and were validated against a structural model generated in the MAESTRO Global Structural Analysis software suite. by Jessica Jill Olena. Nav. E. S.M. 2017-10-18T15:08:51Z 2017-10-18T15:08:51Z 2017 2017 Thesis http://hdl.handle.net/1721.1/111892 1005079407 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 125 pages application/pdf Massachusetts Institute of Technology
spellingShingle Mechanical Engineering.
Olena, Jessica Jill
Design, evaluation, and validation of a naval ship structural health monitoring tool
title Design, evaluation, and validation of a naval ship structural health monitoring tool
title_full Design, evaluation, and validation of a naval ship structural health monitoring tool
title_fullStr Design, evaluation, and validation of a naval ship structural health monitoring tool
title_full_unstemmed Design, evaluation, and validation of a naval ship structural health monitoring tool
title_short Design, evaluation, and validation of a naval ship structural health monitoring tool
title_sort design evaluation and validation of a naval ship structural health monitoring tool
topic Mechanical Engineering.
url http://hdl.handle.net/1721.1/111892
work_keys_str_mv AT olenajessicajill designevaluationandvalidationofanavalshipstructuralhealthmonitoringtool