### Abstrakt

The optimization problem to design structural systems such that the reliability is satisfactory during the whole lifetime of the structure is considered in this paper. Some of the quantities modelling the loads and the strength of the structure are modelled as random variables. The reliability is estimated using first. order reliability methods ( FORM ). The design problem is formulated as the optimization problem to minimize a given cost function such that the reliability of the single elements satisfies given requirements or such that the systems reliability satisfies a given requirement. For these optimization problems it is described how a sensitivity analysis can be performed. Next, new optimization procedures to solve the optimization problems are presented. Two of these procedures solve the system reliability based optimization problem sequentially using quasi-analytical derivatives. Finally an example demonstrates the effectiveness of the procedures.

Originalsprog | Engelsk |
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Titel | System Modelling and Optimization : Proceedings of the 13th IFIP conference |

Redaktører | Masao Iri, Keiji Yajima |

Antal sider | 15 |

Forlag | Springer |

Publikationsdato | 1987 |

ISBN (Trykt) | 978-3-540-19238-1 |

Status | Udgivet - 1987 |

Begivenhed | 13th IFIP Conference on System Modelling and Optimization - Tokyo, Japan Varighed: 31 aug. 1987 → 4 sep. 1987 Konferencens nummer: 13 |

### Konference

Konference | 13th IFIP Conference on System Modelling and Optimization |
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Nummer | 13 |

Land | Japan |

By | Tokyo |

Periode | 31/08/1987 → 04/09/1987 |

Navn | Lecture Notes in Control and Information Sciences |
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Vol/bind | 113 |

ISSN | 0170-8643 |

### Emneord

- Reliability-Based Optimization
- Structural Systems
- First order Reliability Method (FORM)

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## Citationsformater

Sørensen, J. D. (1987). Reliability Based Optimization of Structural Systems. I M. Iri, & K. Yajima (red.),

*System Modelling and Optimization: Proceedings of the 13th IFIP conference*Springer. Lecture Notes in Control and Information Sciences, Bind. 113