Acta Scientiarum Naturalium Universitatis Sunyatseni ›› 2020, Vol. 59 ›› Issue (4): 79-88.doi: 10.13471/j.cnki.acta.snus.2019.06.20.2019B062

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Bridge finite element model updating based on improved steady state genetic algorithm 

QIN Shiqiang, ZHANG Yazhou, KAGN Juntao   

  1. Swarm of Civil Engineering and ArchitectureWuhan University of TechnologyWuhan 430070China

  • Received:2019-06-20 Online:2020-07-25 Published:2020-07-25

Abstract: Due to the test errors and the uncertainties of structural parameters, the best local and global  solutions are all possible to be the true solution of finite element model updating. To simultaneously obtain the local and global best solutions in model updating, an improved steady state genetic algorithm (ISSGA) is proposed. The proposed ISSGA utilizes a double angle operator to select alternative solutions of the objective function. The solutions are iteratively optimized by defining the solutions pairs, and the global and local best solutions are eventually obtained. Two benchmark functions and model updating of a concrete box girder bridge are employed to validate ISSGA regarding the accuracy, stability and calculation efficiency. In addition, the principle to determine the algorithm parameters is clarified. The results show that the ISSGA can obtain the global and the best local of the objective function at same time. The double angle operator can avoid the omission of the best local. ISSGA provides a possibility to obtain the solution of model updating wi the best justification.

Key words: bridge engineering, model updating, steady state genetic algorithm, optimization, multiple solutions problem

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