The method for solving an optimal design problem under uncertainty depends on how the latter is quantified. When sufficient information is available the popular probabilistic approach can (and should) be adopted. In reality however, there are often not sufficient data to infer appropriate probability distributions for the uncertain quantities modeled as random variables. The amount of available information about the uncertain quantities may be limited to ranges of values (intervals). In this case, the interval analysis approach can be employed to reformulate and solve the optimal design problem. In this study, both approaches were used to solve an engine design optimization problem that considers fuel economy and acceleration performance of a medium-sized truck with a hydraulic-hybrid powertrain. We then contrast the obtained results and comment on the characteristics and features of the two approaches. An extension of the interval analysis approach to multilevel systems using a simple yet illustrative engine-related example is also demonstrated.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Impact of uncertainty quantification on design decisions for a hydraulic-hybrid powertrain engine




    Publication date :

    2006


    Size :

    10 Seiten, 17 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Impact of Uncertainty Quantification on Design Decisions for a Hydraulic-Hybrid Powertrain Engine

    Kokkolaras, Michael / Mourelatos, Zissimos / Papalambros, Panos | AIAA | 2006


    AIAA-2006-2001 Impact of Uncertainty Quantification on Design Decisions for a Hydraulic-Hybrid Powertrain Engine

    Kokkolaras, M. / Mourelatos, Z. / Papalambros, P. et al. | British Library Conference Proceedings | 2006


    Hydraulic Hybrid Powertrain

    ORNELLA GIULIO / ZENDRI FABRIZIO / SERRAO LORENZO et al. | European Patent Office | 2020

    Free access

    HYDRAULIC HYBRID POWERTRAIN

    ORNELLA GIULIO / ZENDRI FABRIZIO / SERRAO LORENZO et al. | European Patent Office | 2017

    Free access

    Hydraulic hybrid powertrain

    ORNELLA GIULIO / ZENDRI FABRIZIO / SERRAO LORENZO et al. | European Patent Office | 2019

    Free access