In many engineering applications, probability theory has been employed in a multidisciplinary design optimisation procedure to address uncertainty in a structural system. However, in a general situation where some uncertain variables are not random or where complete information about their randomness is unavailable, probability theory may be inappropriate to describe the propagation of uncertainty. In this work, the Dempster-Shafer (DS) theory, also called the evidence theory, is proposed to handle this general situation as an alternative to the classical probability theory for the mathematical representation of uncertainty. Evidence theory allows us to express partial beliefs when it is impossible or impractical to assess the complete probability distribution confidently. DS theory is applied to a reliability-based optimisation problem in a general situation with imprecise information for an aircraft wing preliminary design example.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Reliability based optimisation of engineering structures under imprecise information


    Contributors:


    Publication date :

    2006


    Size :

    15 Seiten, 12 Bilder, 2 Tabellen, 23 Quellen



    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




    Reliability-Based Design Optimization under Imprecise Uncertainty

    Bae, Ha-Rok / Grandhi, Ramana / Canfield, Robert | AIAA | 2005


    Safety Assessment Using Imprecise Reliability for Corrosion-Damaged Steel Structures

    National Research Council (U.S.) | British Library Conference Proceedings | 2005


    Intelligent computation of imprecise information for engineering design

    Ullah,A.M. / Fisher,A. / Alawar,A. et al. | Automotive engineering | 2008


    Intelligent Computation of Imprecise Information for Engineering Design

    Ullah, A.M.M. Sharif / Alawar, Ahmed / Fisher, Andrew | SAE Technical Papers | 2008


    Intelligent Computation of Imprecise Information for Engineering Design

    Ullah, A.M.M.S. / Fisher, A. / Alawar, A. et al. | British Library Conference Proceedings | 2008