Uncertainty Propagation for Multidisciplinary Problems
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-39126-3_6
Reference38 articles.
1. Ahn, J. and Kwon, J.-H. (2004). Sequential approach to reliability analysis of multidisciplinary analysis systems. Structural and Multidisciplinary Optimization, 28(6):397–406.
2. Amaral, S., Allaire, D., and Willcox, K. (2014). A decomposition-based approach to uncertainty analysis of feed-forward multicomponent systems. International Journal for Numerical Methods in Engineering, 100(13):982–1005.
3. Arnst, M., Ghanem, R., Phipps, E., and Red-Horse, J. (2012). Dimension reduction in stochastic modeling of coupled problems. International Journal for Numerical Methods in Engineering, 92(11):940–968.
4. Arnst, M., Ghanem, R., Phipps, E., and Red-Horse, J. (2014). Reduced chaos expansions with random coefficients in reduced-dimensional stochastic modeling of coupled problems. International Journal for Numerical Methods in Engineering, 97(5):352–376.
5. Arnst, M., Soize, C., and Ghanem, R. (2013). Hybrid sampling/spectral method for solving stochastic coupled problems. SIAM/ASA Journal on Uncertainty Quantification, 1(1):218–243.
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