Structural damage estimation using dynamic data and multi-objective optimization

Faisal Shabbir, Piotr Omenzetter

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

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A novel damage estimation method is proposed using a multi-objective optimization technique which simultaneously updates the damaged as well as undamaged structural model. Contemporary damage detection and estimation methods based on model updating typically require a prior updated baseline finite element model of the undamaged structure for subsequent updating of the damaged model. However, multi-objective optimization algorithms utilize both the undamaged and damaged structure models concurrently to improve the performance of the damage estimation procedure. An updated solution is selected which gives a trade-off between updating of both models using the concept of Pareto front. The technique was applied to a numerically simulated structure with damage, and natural frequencies and mode shape information was used for model updating. Different noise levels were added to account for the experimental errors. It was found that the proposed method gives more accurate damage location and estimation than traditional updating, and is less sensitive to experimental errors.
Original languageEnglish
Title of host publicationProceedings of the 2nd Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures SMAR 2013
PublisherIstanbul Technical University (ITU)
Number of pages8
ISBN (Print)9783033040557
Publication statusPublished - 9 Sept 2013
EventSMAR 2013: International conference on smart monitoring, assessment and rehabilitation of civil structures - Istanbul, Turkey
Duration: 9 Sept 201311 Sept 2013


ConferenceSMAR 2013


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