TY - GEN
T1 - Global Sensitivity Analysis for Multidisciplinary Studies of Vane Clusters
AU - Arsenyev, I.
AU - Duddeck, F.
AU - Fischersworring-Bunk, A.
N1 - Publisher Copyright:
© 2014 American Society of Civil Engineers.
PY - 2014
Y1 - 2014
N2 - This work is part of the research aimed towards the multidisciplinary robust shape optimization of low pressure turbine (LPT) vane clusters. Here, we focus on the global sensitivity analysis needed to identify the most important design variables and reduce the design parameter space for further optimization. Identifying shared important variables for different disciplines will help to find a suitable multidisciplinary optimization architecture. To deal with high computational costs associated to the multidisciplinary analysis chain, a surrogate-based approach for sensitivity analysis is proposed here. Two well-known high-dimensional test functions are used to validate the accuracy of the surrogate-based sensitivity analysis. Finally, the process is successfully applied to the multidisciplinary analysis of the vane cluster. The results obtained show clearly the importance of performing advanced non-linear sensitivity analysis in addition to the computation of linear correlations.
AB - This work is part of the research aimed towards the multidisciplinary robust shape optimization of low pressure turbine (LPT) vane clusters. Here, we focus on the global sensitivity analysis needed to identify the most important design variables and reduce the design parameter space for further optimization. Identifying shared important variables for different disciplines will help to find a suitable multidisciplinary optimization architecture. To deal with high computational costs associated to the multidisciplinary analysis chain, a surrogate-based approach for sensitivity analysis is proposed here. Two well-known high-dimensional test functions are used to validate the accuracy of the surrogate-based sensitivity analysis. Finally, the process is successfully applied to the multidisciplinary analysis of the vane cluster. The results obtained show clearly the importance of performing advanced non-linear sensitivity analysis in addition to the computation of linear correlations.
UR - http://www.scopus.com/inward/record.url?scp=84933566268&partnerID=8YFLogxK
U2 - 10.1061/9780784413609.156
DO - 10.1061/9780784413609.156
M3 - Conference contribution
AN - SCOPUS:84933566268
T3 - Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014
SP - 1554
EP - 1563
BT - Vulnerability, Uncertainty, and Risk
A2 - Hall, Jim W.
A2 - Au, Siu-Kui
A2 - Beer, Michael
PB - American Society of Civil Engineers (ASCE)
T2 - 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014
Y2 - 13 July 2014 through 16 July 2014
ER -