Model updating using genetic algorithms with sequential niche technique


Autoria(s): Shabbir, Faisal; Omenzetter, Piotr
Contribuinte(s)

University of Aberdeen, School of Engineering, Engineering

University of Aberdeen, Energy

Data(s)

05/08/2016

05/08/2016

01/08/2016

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

http://hdl.handle.net/2164/7014

http://dx.doi.org/10.1016/j.engstruct.2016.04.028

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