Abstract
This article presents a procedure for reliability-based multidisciplinary design optimization with both random and interval variables. The sign of performance functions is predicted by the Kriging model which is constructed by the so-called learning function in the region of interest. The Monte Carlo simulation with the Kriging model is performed to evaluate the failure probability. The sample methods for the random variables, interval variables, and design variables are discussed in detail. The multidisciplinary feasible and collaborative optimization architectures are provided with the proposed method. The method is demonstrated with three examples.
| Original language | English |
|---|---|
| Pages (from-to) | 52-64 |
| Number of pages | 13 |
| Journal | Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability |
| Volume | 232 |
| Issue number | 1 |
| DOIs | |
| State | Published - 1 Feb 2018 |
Keywords
- Kriging model
- Reliability-based multidisciplinary design optimization
- collaborative optimization
- hybrid reliability
- multidisciplinary feasible
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