## Abstract

In structural reliability analysis at least three types of uncertainty must be considered, namely physical uncertainty, statistical uncertainty, and model uncertainty (see e.g. Thoft-Christensen & Baker [1]). The physical uncertainty is usually modelled by a number of basic variables by predictive density functions, Veneziano [2]. In general, model uncertainty is the uncertainty connected with mathematical modelling of the physical reality.

When structural reliability analysis is related to the concept of a failure surface (or limit state surface) in the n-dimension basic variable space then model uncertainty is at least due to the neglected variables, the modelling of the failure surface and the computational technique used.

When structural reliability analysis is related to the concept of a failure surface (or limit state surface) in the n-dimension basic variable space then model uncertainty is at least due to the neglected variables, the modelling of the failure surface and the computational technique used.

Original language | English |
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Place of Publication | Aalborg |
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Publisher | Institute of Building Technology and Structural Engineering |

Number of pages | 16 |

Publication status | Published - 1983 |

Event | The Proceedings of System Modelling and Optimization - Copenhagen, Denmark Duration: 25 Jul 1983 → 29 Jul 1983 |

Series | Structural Reliability Theory |
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Number | 1 |

Volume | IFB/A 8301 |

### Conference

Conference | The Proceedings of System Modelling and Optimization |
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Country | Denmark |

City | Copenhagen |

Period | 25/07/1983 → 29/07/1983 |

### Bibliographical note

Presented at the 11th IFIP Conference on "System and Optimization", Copenhagen, July, 1983. Proceedings published by Springer-Verlag, 1984PDF for print: 16 pp.

## Keywords

- Limit State Surface
- Failure Surface
- Computational Technique
- Model Uncertainty
- Statistical Uncertainty
- Physical Uncertainty
- Hysteresis
- Dynamic Load
- Stochastic Process