The NASA Langley Challenge on Optimization Under Uncertainty

The NASA Langley Challenge on Optimization Under Uncertainty

This paper presents an Uncertainty Quantification (UQ) challenge focusing on key aspects of model calibration, sensitivity analysis, uncertainty reduction, and reliability-based design in the presence of aleatory and epistemic uncertainty.

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Veröffentlicht in:Mechanical systems and signal processing 2021-05, Vol.152, p.1
Hauptverfasser: Crespo, Luis G, Kenny, Sean P
Format: Artikel
Sprache:eng
Schlagworte:
Optimization
Reliability analysis
Reliability aspects
Sensitivity analysis
Uncertainty analysis
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Zusammenfassung:This paper presents an Uncertainty Quantification (UQ) challenge focusing on key aspects of model calibration, sensitivity analysis, uncertainty reduction, and reliability-based design in the presence of aleatory and epistemic uncertainty.
ISSN:0888-3270
1096-1216