This chapter is devoted to the description of the MDO formulations in the presence of uncertainty. In Chapter 10.1007/978-3-030-39126-3_1, deterministic MDO formulations have been introduced, highlighting the interest of such methodologies to solve complex and multidisciplinary design problems. Uncertainty-based multidisciplinary design optimization (UMDO) deals with the presence of uncertainty in MDO problems. The understanding of the importance of UMDO is spreading among academia and industry quickly. Nevertheless, in comparison with the deterministic MDO approaches, the UMDO methodologies are still in the early stages of development and numerous challenges have still to be solved. In the last decades, important improvements have been made in this field of research and are presented in this chapter. UMDO problems combine the challenges of deterministic MDO (organization of the design process, control of interdisciplinary couplings, etc.) and the difficulties involved by uncertainty propagation for multi-physics problems. Most of the existing UMDO formulations are built on the uncertainty propagation techniques dedicated to multidisciplinary problems presented in Chapter 10.1007/978-3-030-39126-3_6. The algorithms used to solve these UMDO problems are not discussed in this chapter, but all the presented optimization techniques in Chapter 10.1007/978-3-030-39126-3_5 may be used to solve UMDO problems.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Uncertainty-Based Multidisciplinary Design Optimization (UMDO)


    Additional title:

    Springer Optimization


    Contributors:


    Publication date :

    2020-08-27


    Size :

    58 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Uncertainty-Based Multidisciplinary Design Optimization

    Kowal, M. / Mahadevan, S. / AIAA et al. | British Library Conference Proceedings | 1998


    Multidisciplinary Design Optimization in the Presence of Uncertainty

    Haftka, R. / Tekhniyon, Makhon tekhnologi le-Yisra'el | British Library Conference Proceedings | 2013



    Covariance Matching Collaborative Optimization for Uncertainty-Based Multidisciplinary Aircraft Design

    Ghosh, S. / Lee, C. / Mavris, D. et al. | British Library Conference Proceedings | 2014


    Modeling and simulation uncertainty in multidisciplinary design optimization

    Batill, Stephen / Renaud, John / Gu, Xiaoyu | AIAA | 2000