نویسندگان | A Kaveh - MS Massoudi - M Ghanoonini Bagha |
---|---|

نشریه | Iranian Journal of Science and Technology. Transactions of Civil Engineering |

نوع مقاله | Full Paper |

تاریخ انتشار | 2014-08-01 |

رتبه نشریه | علمی - پژوهشی |

نوع نشریه | چاپی |

کشور محل چاپ | ایران |

## چکیده مقاله

**Abstract. **This paper focuses on the design point and the failure probability of problems with

continuous random variables. The charged system search (CSS) algorithm is utilized as the

optimization tool to achieve minimum reliability index under limit state function. In order to

acquire the optimal solution, random variables such as elastic modulus, loads, and geometric

parameters are selected as decision variables of the problem which are optimized by means of the

CSS algorithm. This algorithm is inspired by the Coulomb and Gauss’s laws of electrostatics from

physics. In order to evaluate the accuracy and efficiency of this algorithm, several numerical

examples are studied and the results are compared to those of the existing methods.

The proposed method is capable of finding a design point over the failure surface and calculates

the reliability index with a reasonable accurately. As the proposed framework enforces low

computational time and holds a satisfactory convergence rate, it is a competent methodology to

calculate different types of reliability problems.

tags: Structural reliability; Optimization; charged system search; limit state function; failure probability; design point