Scientific Computing Seminar

Date and Place: Thursdays and hybrid (live in 32-349/online via Zoom). For detailed dates see below!

Content

In the Scientific Computing Seminar we host talks of guests and members of the SciComp team as well as students of mathematics, computer science and engineering. Everbody interested in the topics is welcome.

List of Talks

Event Information:

  • Thu
    13
    Jan
    2022

    SC Seminar: Domenico Quagliarella

    12:00Online

    Dr. Domenico Quagliarella, Italian Aerospace Research Centre (CIRA), Capua, Italy

    Title:
    Intrusive and non-intrusive approximation techniques for efficient robust aerodynamic shape design using risk functions

    Abstract:

    We introduce the use of advanced risk functions, initially conceived in financial engineering, in the formulation of robust optimization problems and illustrate their application to robust design problems of aerodynamic shapes. The focus is here on techniques for increasing the computational efficiency of robust optimization processes based on risk functions. In particular, we illustrate the approximation techniques of empirical probability distributions on which the risk functions are then calculated and discuss the differences in terms of efficiency and easiness of implementation of the intrusive and non-intrusive approximation techniques. Such techniques are then applied to robust aerodynamic design problems.

    REFERENCES

    [1] E. Morales, A. Bornaccioni, D. Quagliarella and R. Tognaccini, “Gradient based empirical cumulative distribution function approximation for robust aerodynamic design,” Aerospace Science and Technology, 2021, 112(5), n. 106630, (2021), Elsevier BV.
    [2] D. Quagliarella and E. Iuliano, “Robust Design of a Supersonic Natural Laminar Flow Wing-Body”, IEEE Computational Intelligence Magazine, 12(4), 14-27, (2017).
    [3] E. Morales and D. Quagliarella, “Risk Measures in the Context of Robust and Reliability Based Optimization,” in Vasile M. (eds) Optimization Under Uncertainty with Applications to Aerospace Engineering. Springer, Cham, (2021).
    [4] E. Morales, D. Quagliarella and R. Tognaccini, “Gaussian Processes for CVaR Approximation in Robust Aerodynamic Shape Design,” in M. Vasile, D. Quagliarella (eds.), Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications, Space Technology Proceedings 8, Springer, Cham, (to appear in 2022).
    [5] E. Morales, “Optimal Energy-Driven Aircraft Design Under Uncertainty,” Ph.D. Thesis, Università degli Studi di Napoli “Federico II”, Naples, Italy (2021).

    How to join

    The talk is held online via Zoom. You can join with the following link:
    https://uni-kl-de.zoom.us/j/63565018552?pwd=d2VvMENEN1QvNkhlS01helUwRGhYdz09