Colloquium: Costijn de Priester (FPP)

07 juli 2022 13:00 - Locatie: Lecture Room F, FACULTY OF AEROSPACE ENGINEERING, KLUYVERWEG 1, DELFT | Zet in mijn agenda

SAS: an advisory framework to support surrogate model based MDAO

This work introduces the Surrogate Advisory System (SAS), a Python package that aims to reduce the existing complexity when working with surrogate-based MDAO systems. SAS automates most of the steps for a CPACS-based MDAO workflow and drastically reduces required efforts to integrate surrogate models within MDAO systems. Key developments enabling this automation, such as a newly developed Python interface with the Process Integration and Design Optimization tool RCE, a comprehensive surrogate modelling engine and a design database structure are discussed. Furthermore, an advisory framework providing insights into the inherent trade-off between computational efficiency and accuracy when working with surrogate models is presented. It is shown that a-priori estimation of a surrogate model's accuracy for a given number of samples is difficult, but that an estimation of the potential surrogate model candidates in a provided workflow can be made.

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