Heuristic Operator for Reliability Assessment of Frame Structures

Authors

  • Ali Kaveh
    Affiliation

    School of Civil Engineering, Iran University of Science and Technology, Narmak, Tehran 16846-13114, Iran

  • Seyed Rohollah Hoseini Vaez
    Affiliation

    Department of Civil Engineering, Faculty of Engineering, University of Qom, Qom 3716146611, Iran

  • Pedram Hosseini
    Affiliation

    Faculty of Engineering, Mahallat Institute of Higher Education, Mahallat 3781151958, Iran

  • Mohammad Ali Fathali
    Affiliation

    Department of Civil Engineering, Faculty of Engineering, University of Qom, Qom 3716146611, Iran

https://doi.org/10.3311/PPci.17580

Abstract

In structural design of steel frames, in order to achieve proper safety, the effect of uncertainties in the design and loading parameters of the structure must be considered. This approach is obtained by defining a reliability index. In this study, the Modified Dolphin Monitoring (MDM) operator was used to evaluate the reliability index of three well-known steel frame structures based on the Hasofer-Lind method. The reliability index was evaluated using the EVPS and VPS algorithms and with considering the MDM operator on them. The constraint of the last story drift is considered as limit state function. The random variables consist of external loads, modulus of elasticity, moment of inertia and cross-sectional areas. According to the number of evaluations of the limit state function, the results show the efficiency of this method in comparison to the Monte Carlo simulation method. Also, the values of the most probable point (MPP) are examined.

Keywords:

frame structures, reliability index, optimization algorithms, limited state function

Citation data from Crossref and Scopus

Published Online

2021-01-29

How to Cite

Kaveh, A., Hoseini Vaez, S. R., Hosseini, P., Fathali, M. A. “Heuristic Operator for Reliability Assessment of Frame Structures”, Periodica Polytechnica Civil Engineering, 65(3), pp. 702–716, 2021. https://doi.org/10.3311/PPci.17580

Issue

Section

Research Article