Using sensitivity method and genetic algorithms to model updating

F. Shabbir, P. Omenzetter

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


Experimental investigations of actual dynamic properties of civil engineering structures have gained increasing popularity for performance monitoring and maintenance. However, information from such experiments can only be effectively used by correlating the experimental and analytical models. This paper presents a comparison of different model updating techniques: sensitivity method (SM), genetic algorithms (GAs), and a combination of GAs and SM. The SM based updating is routinely used but due to its dependence on the characteristics of search space other global search methods need to be explored. Numerical simulations of a six storey concrete building with assumed dimensions were done using lumped mass models. Different algorithms were applied to update the numerical model. To check the effectiveness of the methods, experiments were also carried out on a 3-storey bookshelf laboratory structure.
Original languageEnglish
Title of host publicationFutures in Mechanics of Structures and Materials
Subtitle of host publicationProceedings of the 20th Australasian Conference on the Mechanics of Structures and Materials, ACMSM20
EditorsThiru Aravinthan, Warna Karunasena, Hao Wang
PublisherCRC Press
Number of pages6
ISBN (Print)9780415491969
Publication statusPublished - 20 Nov 2008


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