The post-earthquake reports show that failure mode control design is of great significance to improve the seismic performance of structures. To realize the optimal design of failure mode in semi-rigid steel frame, a failure mode optimisation design method based on an elite retained genetic algorithm was developed in this study. Firstly, a database of 96 extended end-plate connections was established using the ABAQUS finite element software to obtain the initial rotational stiffness and yield moment under failure criteria. Secondly, with section size as the optimisation variable, failure mode as the constraint condition, and total steel consumption as the objective function, elite gene transfer was realized through gene sequence replication, hybridisation and mutation. With a 10-story, 3-span, semi-rigid steel frame as an example is proposed to demonstrate the application of the proposed semi-rigid design method, and pushover and time history analyses were conducted on the optimized results to verify the accuracy of the proposed method. The analysis results showed that the stable and reliable optimal design results were obtained through 1317 generation genetic iterative calculations, and the energy consumption ratio of the semi-rigid connection (including the beam ends) was 95.82% and that of the column was 4.18%; in addition, 76% of the beam ends had plastic hinges to dissipate energy in the pushover analysis. This finding indicates that the optimized frame can achieve the global failure mode during earthquakes, and the design method can effectively improve the seismic performance of the frame.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Optimal Design of Failure Mode Control for Semi-rigid Steel Frame Based on Elitist Retained Genetic Algorithm


    Weitere Titelangaben:

    KSCE J Civ Eng


    Beteiligte:
    Lu, Shengcan (Autor:in) / Wang, Zhan (Autor:in) / Pan, Jianrong (Autor:in) / Yin, Tulong (Autor:in) / Liu, Deming (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.12.2022


    Format / Umfang :

    14 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Nonlinear predictive controller based on elitist preserved genetic algorithm (EGA)

    Wang, H.-y. / Zhu, J. | British Library Online Contents | 2002


    Using an elitist Pareto genetic algorithm for aerodynamic data extraction

    Anderson, Murray / Lawrence, William / Gebert, Glenn | AIAA | 1996


    Elitist Non-dominated Sorting Genetic Algorithm-Based Heuristic for Optimizing Rail Freight Transportation

    Panicker, Vinay V. / Aryadutt, C. S. / Anoop, K. P. | Springer Verlag | 2018



    Elitist Strategy Genetic Algorithm-Based Planning Optimization Deriving for Smart Port Decision Support System

    Le, Tat-Hien / Minh, Trinh Duc / Hoa, Nguyen Thi Ngoc | Springer Verlag | 2024