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Information Journal Paper

Title

SOFT COMPUTING BASED STRUCTURAL OPTIMIZATION FOR EARTHQUAKE

Pages

  415-429

Abstract

 An efficient methodology is proposed to optimal design of structures for EARTHQUAKE loading.In this methodology to reduce the optimization overall time, a serial integration of WAVELET TRANSFORMs, NEURAL NETWORKS and evolutionary algorithms are employed. In order to reduce the computational work of the structural time history analysis, a discrete WAVELET TRANSFORM is used by means of which the number of points in the EARTHQUAKE record is decreased. Also, an advanced meta model, called self-organizing generalized regression is employed to predict the time history responses. The optimization task is achieved by an evolutionary algorithm called virtual sub population method. A 6-storey space steel frame structure is designed for optimal weight for the El Centro EARTHQUAKE induced loads. The numerical results demonstrate the efficiency and computational advantages of the proposed methodology.

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  • Cite

    APA: Copy

    GHOLIZADEH, S., & SALAJEGHEH, E.. (2011). SOFT COMPUTING BASED STRUCTURAL OPTIMIZATION FOR EARTHQUAKE. ASIAN JOURNAL OF CIVIL ENGINEERING (BUILDING AND HOUSING), 12(4), 415-429. SID. https://sid.ir/paper/298963/en

    Vancouver: Copy

    GHOLIZADEH S., SALAJEGHEH E.. SOFT COMPUTING BASED STRUCTURAL OPTIMIZATION FOR EARTHQUAKE. ASIAN JOURNAL OF CIVIL ENGINEERING (BUILDING AND HOUSING)[Internet]. 2011;12(4):415-429. Available from: https://sid.ir/paper/298963/en

    IEEE: Copy

    S. GHOLIZADEH, and E. SALAJEGHEH, “SOFT COMPUTING BASED STRUCTURAL OPTIMIZATION FOR EARTHQUAKE,” ASIAN JOURNAL OF CIVIL ENGINEERING (BUILDING AND HOUSING), vol. 12, no. 4, pp. 415–429, 2011, [Online]. Available: https://sid.ir/paper/298963/en

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