Probability and variance-based stochastic design optimization of a radial compressor concerning fluid-structure interaction
Visualitza/Obre
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/192863
Tipus de documentText en actes de congrés
Data publicació2013
EditorCIMNE
Condicions d'accésAccés obert
Tots els drets reservats. Aquesta obra està protegida pels drets de propietat intel·lectual i
industrial corresponents. Sense perjudici de les exempcions legals existents, queda prohibida la seva
reproducció, distribució, comunicació pública o transformació sense l'autorització del titular dels drets
Abstract
Since the engineering of turbo machines began the improvement of specific
physical behaviour, especially the efficiency, has been one of the key issues.
However, improvement of the efficiency of a turbo engine, is hard to archive using a
conventional deterministic optimization, since the geometry is not perfect and many
other parameters vary in the real approach.
In contrast, stochastic design optimization is a methodology that enables the
solving of optimization problems which model the effects of uncertainty in manufacturing,
design configuration and environment, in which robustness and reliability are
explicit optimization goals. Therein, a coupling of stochastic and optimization problems
implies high computational efforts, whereby the calculation of the stochastic
constraints represents the main effort. In view of this fact, an industrially relevant
algorithm should satisfy the conditions of precision, robustness and efficiency.
In this paper an efficient approach is presented to assist reducing the number of
design evaluations necessary, in particular the number of nonlinear fluid-structure
interaction analyses. In combination with a robust estimation of the safety level
within the iteration and a final precise reliability analysis, the method presented
is particularly suitable for solving reliability-based structural design optimization
problems with ever-changing failure probabilities of the nominal designs.
The applicability for real case applications is demonstrated through the example
of a radial compressor, with a very high degree of complexity and a large number of
design parameters and random variables.
ISBN978-84-941407-6-1
Fitxers | Descripció | Mida | Format | Visualitza |
---|---|---|---|---|
Coupled-2013-13 ... ity and variance-based.pdf | 1,775Mb | Visualitza/Obre |