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Information Journal Paper

Title

STRUCTURAL RELIABILITY ASSESSMENT USING HYBRID SIMULATION METHODS

Pages

  19-36

Abstract

 High ability of Mont Carlo simulation techniques has been led to ever increasing application of such methods in a wide variety of different fields including STRUCTURAL RELIABILITY.This specific approach has been based on event simulation using random sample process and evaluation of their results. Accurate precision requires considerable amount of simulation operations. Using various strategies, one can obtain the acceptable precision with less samples.The IMPORTANCE SAMPLING Method(ISM) and Conditional Expectation Method (CEM)are among the examples of such methods and have shown satisfactory performance in STRUCTURAL RELIABILITY during the past experiences. In this article a hybrid method has been used and combined with ISM and CEM approaches using a high efficient algorithm to calculate STRUCTURAL RELIABILITY. In this approach with the help of high ability of ISM and using the optimum sampling function configuration, the sampling operation could be done in CEM and the failure probability will be evaluated Typical samples in the article reveal the high efficiency of this approach in solving the reliability problems. In this paper the acceptable ability of the algorithm in solving the time variant reliability of structures according to a real case has been shown.

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    APA: Copy

    SHAYANFAR, M., SENAEE, E., & MOHAMMADZADEH, S.. (2004). STRUCTURAL RELIABILITY ASSESSMENT USING HYBRID SIMULATION METHODS. JOURNAL OF SCHOOL OF ENGINEERING, 16(1), 19-36. SID. https://sid.ir/paper/22577/en

    Vancouver: Copy

    SHAYANFAR M., SENAEE E., MOHAMMADZADEH S.. STRUCTURAL RELIABILITY ASSESSMENT USING HYBRID SIMULATION METHODS. JOURNAL OF SCHOOL OF ENGINEERING[Internet]. 2004;16(1):19-36. Available from: https://sid.ir/paper/22577/en

    IEEE: Copy

    M. SHAYANFAR, E. SENAEE, and S. MOHAMMADZADEH, “STRUCTURAL RELIABILITY ASSESSMENT USING HYBRID SIMULATION METHODS,” JOURNAL OF SCHOOL OF ENGINEERING, vol. 16, no. 1, pp. 19–36, 2004, [Online]. Available: https://sid.ir/paper/22577/en

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