The challenges of handling uncertainties within an MDO process have been discussed in Chapters 10.1007/978-3-030-39126-3_6 and 10.1007/978-3-030-39126-3_7. Related concepts to multi-fidelity are introduced in this chapter. Indeed, high-fidelity models are used to represent the behavior of a system with an acceptable accuracy. However, these models are computationally intensive and they cannot be repeatedly evaluated, as required in MDO. Low-fidelity models are more suited to the early design phases as they are cheaper to evaluate. But they are often less accurate because of simplifications such as linearization, restrictive physical assumptions, dimensionality reduction, etc. Multi-fidelity models aim at combining models of different fidelities to achieve the desired accuracy at a lower computational cost. In Section 8.2, the connection between MDO, multi-fidelity, and cokriging is made through a review of past works and system representations of code architectures.


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    Title :

    Multi-Fidelity for MDO Using Gaussian Processes


    Additional title:

    Springer Optimization


    Contributors:


    Publication date :

    2020-08-27


    Size :

    26 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English