Model updating using genetic algorithms with sequential niche technique
Contribuinte(s) |
University of Aberdeen, School of Engineering, Engineering University of Aberdeen, Energy |
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Data(s) |
05/08/2016
05/08/2016
01/08/2016
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Resumo |
The authors would like to express their gratitude to organizations and people that supported this research. Piotr Omenzetter’s work within the Lloyd’s Register Foundation Centre for Safety and Reliability Engineering at the University of Aberdeen is supported by Lloyd’s Register Foundation. The Foundation helps to protect life and property by supporting engineering-related education, public engagement and the application of research. Ben Ryder of Aurecon and Graeme Cummings of HEB Construction assisted in obtaining access to the bridge and information for modelling. Luke Williams and Graham Bougen, undergraduate research students, assisted with testing. Peer reviewed Postprint |
Formato |
17 |
Identificador |
Shabbir , F & Omenzetter , P 2016 , ' Model updating using genetic algorithms with sequential niche technique ' Engineering Structures , vol 120 , pp. 166-182 . , 10.1016/j.engstruct.2016.04.028 0141-0296 PURE: 65398756 PURE UUID: 15d6d9f4-2bf1-4512-8dc1-5b216cfbb57c http://authors.elsevier.com/a/1S~7WW4G4BhLE |
Idioma(s) |
eng |
Relação |
Engineering Structures |
Direitos |
© 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ |
Palavras-Chave | #cable-stayed bridge #deceptive problem #global optimization algorithms #inverse problem #model updating #multiple minima #genetic algorithm #sequential niche technique #structural optimization #TA Engineering (General). Civil engineering (General) #TA |
Tipo |
Journal article |