Abstract
The number of detail design cases via commercial process integration and design optimization software using high-fidelity models is increasing. However, a system-level approach using a language-based model is required to design more complex systems, such as combat vehicles. Additionally, calculation costs can increase when calculating gradient through a commercial optimization algorithm using numerical computation. Moreover, optimization time can be wasted by the matrix computation process. Therefore, this paper constructs an integrated interface that focuses on concept design using a language-based model, performing efficient optimization by implementing symbolic computation. Design optimization of a combat vehicle system is performed to show the effectiveness of the integrated interface and symbolic computation, and the optimization time is highly reduced via symbolic computation.
| Original language | English |
|---|---|
| Pages (from-to) | 353-361 |
| Number of pages | 9 |
| Journal | Transactions of the Korean Society of Mechanical Engineers, A |
| Volume | 42 |
| Issue number | 4 |
| DOIs | |
| State | Published - 2018 |
Keywords
- Analysis of Variance
- Combat Vehicle
- Design of Experiments
- Kriging Surrogate Model
- Symbolic Computation
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