Poster + Paper
23 August 2024 Sensitivity analysis of coupled variables in integrated STOP models
Rosemary K. Davidson, David W. Miller
Author Affiliations +
Conference Poster
Abstract
The computational complexity of integrated structural-thermal-optical performance models, particularly for one-of-a-kind telescope missions, often limits the maximum feasible number of analysis cycles. Applications requiring a large number of model evaluations, such as uncertainty quantification and sensitivity analysis, can become infeasible if the number of required iterations for the analysis exceeds the allocated computation time or budget. Another major obstacle to the sensitivity analysis of integrated models is the dependence between variables, as correlation between the variables changes the contribution they have on the variance in output model predictions. This paper presents an integrated modeling methodology that seeks to reduce the model’s computational cost while retaining sufficient accuracy for sensitivity analysis. Additionally, an estimation of the closed sensitivity indices is presented for the fully integrated model, taking into account the dependence between variables in structural-thermal-optical performance models.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Rosemary K. Davidson and David W. Miller "Sensitivity analysis of coupled variables in integrated STOP models", Proc. SPIE 13099, Modeling, Systems Engineering, and Project Management for Astronomy XI, 1309928 (23 August 2024); https://doi.org/10.1117/12.3016769
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KEYWORDS
Integrated modeling

Systems modeling

Performance modeling

Design

Integration

Monte Carlo methods

Computation time

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