Abstract
Structural health monitoring (SHM) integrated within the performance assessment of ships is an effective method to reduce uncertainties in the analysis and derive crucial information regarding the real-time structural response. In an ideal situation, continuous monitoring is required to accurately assess and predict the performance of deteriorating naval vessels; however, this is neither practical nor financially efficient. Presented in this paper is a computational framework that has the ability to determine cost-effective SHM plans considering the probability that the performance prediction model based on monitoring data is suitable throughout the life-cycle of a naval vessel. Utility functions are employed to express the relative desirability of lifetime intervention schedules. Optimization procedures are utilized to simultaneously maximize the utilities associated with monitoring cost and expected average availability in order to determine optimum SHM strategies under uncertainty. The capabilities of the proposed decision support framework are illustrated on an aluminum wave piercing catamaran.
| Original language | English |
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| Title of host publication | Life-Cycle of Engineering Systems |
| Subtitle of host publication | Emphasis on Sustainable Civil Infrastructure - 5th International Symposium on Life-Cycle Engineering, IALCCE 2016 |
| Editors | Jaap Bakker, Dan M. Frangopol, Klaas van Breugel |
| Publisher | CRC Press/Balkema |
| Pages | 1927-1936 |
| Number of pages | 10 |
| ISBN (Print) | 9781138028470 |
| State | Published - 2017 |
| Externally published | Yes |
| Event | 5th International Symposium on Life-Cycle Engineering, IALCCE 2016 - Delft, Netherlands Duration: Oct 16 2016 → Oct 20 2016 |
Publication series
| Name | Life-Cycle of Engineering Systems: Emphasis on Sustainable Civil Infrastructure - 5th International Symposium on Life-Cycle Engineering, IALCCE 2016 |
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Conference
| Conference | 5th International Symposium on Life-Cycle Engineering, IALCCE 2016 |
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| Country/Territory | Netherlands |
| City | Delft |
| Period | 10/16/16 → 10/20/16 |
Funding
The support from the U.S. Office of Naval Research (contracts N00014-08-1-0188, N00014-12-1-0023, and N00014-16-1-2299, Structural Reliability Program, Director Dr. Paul E. Hess III, ONR, Code 331) is gratefully acknowledged. The opinions and conclusions presented in this paper are those of the authors and do not necessarily reflect the views of the sponsoring organization.