Latin hypercube sampling san antonio wake garg

#Latin hypercube sampling san antonio wake garg series#

Seume, J., und Mailach, R., 2020: Dubbel: Taschenbuch fГјr den Maschinenbau (Hrsg.: Grote, K.-H., Bender, B., GГ¶hlich, D.), Kapitel R1 вЂћGrundlagen der StrГ¶mungsmaschinenвЂњ, Springer-Verlag, 26. VerГ¶ffentlicht bei TUDpress 2021, Band 32 der Schriftenreihe aus dem Institut fГјr StrГ¶mungsmechanik, Dresden, ISBN: 978-3-95908-439-0 2020 (Dissertation, Technische UniversitГ¤t Dresden, 2020) 615-624, 2021Д®influss der lokalen Filmluftentnahme auf StrГ¶mungsfeld und WГ¤rmeГјbergang in einem Turbinenschaufel-KГјhlkanal bei Betrachtung verschiedener Rippengeometrien Дe Dominicis, I., Robens, S., Wolfrum, N., Lange, M., GГјmmer, V.: Interacting Effects in a Multistage Axial Compressor Using Shrouded and Cantilevered Stators, 'Study of Relative Endwall Motion Effects in a Compressor Cascade Through Direct Numerical Simulations.' ASME. Ventosa-Molina, J., Lange, M., Mailach, R., FrГ¶hlich, J.: 'Analysis of the Unsteady Flow Field in a Steam Turbine Control Valve Using Spectral Proper Orthogonal Decomposition', Proceedings of the 14th European Turbomachinery Conference,В ETC2021-561, Gdansk, Poland, 12вЂ“16 April 2021 Near-Wall Flow in Turbomachinery Cascades-Results of a German Collaborative Project International Journal of Turbomachinery, Propulsion and Power. Power 2021, 6(2):11Д®ngelmann D, Sinkwitz M, di Mare F, Koppe B, Mailach R, Ventosa-Molina J, FrГ¶hlich J, Schubert T, Niehuis R. 'Probabilistic Approach for Optimizing Uncertainties of Input Variables to Reach a Desired Confidence Level 'ДЄSME Turbo Expo 2021, GT2021-59442, virtual conference, 2021ДЄnalysis of the Unsteady Flow Field in a Steam Turbine Control Valve Using Spectral Proper Orthogonal Decomposition Prots, A., Voigt, M., Magin, P., Danner, F., Mailach, R.: 'Improved Rotor Design With Combined 3d-2d Probabilistic Approach',ДЄSME Turbo Expo 2021, GT2021-58620, virtual conference, 2021 Schuchard, L., Dumstorff, P., Voigt, M., De Lazzer, A., Almstedt, H., Mailach, R.: 'Performance of Unsteady Reynolds-Averaged Navier-Stokes and Hybrid Scale-Resolving Simulation Approaches in Simulating a Low-Speed Axial Compressor Single Rotor'ДЄSME Turbo Expo 2021, GT2021-59028, virtual conference, 2021. 'Effects of Rotation on the Flow Structure in a Compressor Cascade'ДЄSME Turbo Expo 2021, GT2021-58793, virtual conference, 2021.Д¬hen, X., Koppe, B., Lange, M., Chu, W., Mailach, R.: Ventosa-Molina, J., Koppe, B., Lange, M., Mailach, R., FrГ¶hlich, J.: Our results indicate that PLHS leads to improved efficiency, convergence, and robustness of sampling-based analyses.'Investigation of Unsteady Pressure Fluctuations in a Simplified Steam Turbine Control Valve' ASME J. The performance of PLHS is compared with benchmark sampling strategies across multiple case studies for Monte Carlo simulation, sensitivity and uncertainty analysis.

#Latin hypercube sampling san antonio wake garg series#

Unlike Latin hypercube sampling, PLHS generates a series of smaller sub-sets (slices) such that (1) the first slice is Latin hypercube, (2) the progressive union of slices remains Latin hypercube and achieves maximum stratification in any one-dimensional projection, and as such (3) the entire sample set is Latin hypercube. In this study, we propose a new strategy, called Progressive Latin Hypercube Sampling (PLHS), which sequentially generates sample points while progressively preserving the distributional properties of interest (Latin hypercube properties, space-filling, etc.), as the sample size grows. Efficient sampling strategies that scale with the size of the problem, computational budget, and usersвЂ™ needs are essential for various sampling-based analyses, such as sensitivity and uncertainty analysis.