A platform for research: civil engineering, architecture and urbanism
Design, evaluation, and validation of a naval ship structural health monitoring tool
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.
Design, evaluation, and validation of a naval ship structural health monitoring tool
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.
Design, evaluation, and validation of a naval ship structural health monitoring tool
2017-01-01
1005079407
Theses
Electronic Resource
English
DDC:
690
Structural Health Monitoring for High-Speed Naval Ships
British Library Conference Proceedings | 2007
|Structural Health Monitoring for Ship Structures
British Library Conference Proceedings | 2009
|Online Contents | 1998
Database of Corrosion and Protection Design for Naval Ship
British Library Online Contents | 2010
|Ship Fabrication Innovations (Naval & Commercial)
British Library Conference Proceedings | 1994
|