- Tytuł:
- Reliability analysis method of coupling optimal importance sampling density and multi-fidelity Kriging model
- Autorzy:
-
Xie, Jiayu
Tian, Zongrui
Zhi, Pengpeng
Zhao, Yadong - Powiązania:
- https://bibliotekanauki.pl/articles/24200829.pdf
- Data publikacji:
- 2023
- Wydawca:
- Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
- Tematy:
-
reliability analysis
multifidelity model
learning function
stopping condition - Opis:
- The commonly used reliability analysis approaches for Kriging-based models are usually conducted based on high-fidelity Kriging models. However, high-fidelity surrogate models are commonly costly. Therefore, in order to balance the calculation expense and calculation time of the surrogate model, this paper proposes a multi-fidelity Kriging model reliability analysis approach with coupled optimal important sampling density (OISD+MFK). First, the MEI learning function is proposed considering the training sample distance, model computation cost, expected improvement function, and model relevance. Second, a dynamic stopping condition is proposed that takes into account the failure probability estimation error. Finally, the optimal importance sampling density is incorporated into the reliability analysis process, which can effectively reduce failure probability estimation error. The results of the study show that the approach proposed in this paper can reduce the calculation cost while outputting relatively accurate failure probability evaluation results.
- Źródło:
-
Eksploatacja i Niezawodność; 2023, 25, 2; art. no. 161893
1507-2711 - Pojawia się w:
- Eksploatacja i Niezawodność
- Dostawca treści:
- Biblioteka Nauki
Artykuł