InstituteThe team
Mona Dannert

Mona Madlen Dannert, M. Sc.

Mona Madlen Dannert, M. Sc.
Appelstraße 9a
30167 Hannover
Mona Madlen Dannert, M. Sc.
Appelstraße 9a
30167 Hannover

Research project

  • Imprecise random fields within non-linear finite element analysis
    Regarding climate change, nowadays research focus lays more and more on sustainability and resource saving approaches. Quantifying and considering uncertainties within the engineering design process can help to reduce both, ecological and economical costs. Instead of conservative safety and knockdown factors, a stochastic finite element (FE) analysis enables an optimized design. For this purpose, input variables such as material or load properties can be considered uncertain.
    Led by: Udo Nackenhorst (former also Amélie Fau)
    Team: Mona Madlen Dannert (former also Rodolfo Fleury)
    Year: 2016
    Funding: Priority Programme SPP 1886 of German Research Foundation (DFG), State of Lower Saxony
  • Research

    Within my PhD topic I am dealing with imprecise random fields containing aleatory (stochastic) and epistemic (imprecise) uncertainties. Inclusion of such imprecise random fields - e.g. as material parameters - in terms of stochastic finite element method (SFEM) leads to high computational costs.

    To address the issue of computational expense, sophisticated sampling methods such as polynomial chaos or stochastic collocation methods are key elements of my research. In conjunction to the algorithmic treatment, the propagation of such fields through an SFEM simulation to estimate the quantities of interest is of importance. The resulting probability boxes may depend on the discretisation of the epistemic and aleatory parameters, and on the interference of several imprecise random field parameters.

  • Conference talks
    2021, June 28-30
    4th International Conference on Uncertainty Quantification in Compuational Science and Engineering (UNCECOMP), Athens, Greece (online): Limit representations of imprecise random fields,

    DOI: 10.7712/120221.8024.19110

    2021, Jan. 11-15
    14th WCCM & ECCOMAS Congress, Paris, France (online): Efficient random field sampling using sparse polynomial chaos expansion
    2019, Sept. 22-2629th European Safety and Reliability Conference (ESREL), Hanover, Germany: Non-linear finite element analysis under mixed epistemic and aleatory uncertain random field input, DOI: 10.3850/978-981-11-2724-3_0286-cd
    2019, May 26-30 13th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP), Seoul, South Korea: A collocation scheme for deep uncertainty treatment, DOI:  10.22725/ICASP13.179
    2018, Mar. 19-2389th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), Munich, Germany: A probability-box approach on uncertain correlation lengths by stochastic finite element method, DOI: 10.1002/pamm.201800114
    2017, Aug. 6-1012th International Conference on Structural Safety & Reliability (ICOSSAR), Vienna, Austria: A nested collocation algorithm for mixed aleatory and epistemic uncertainties using a probability-box approach
  • Teaching Activities
    • Engineering Mechanics A (WiSe 16/17)
    • Engineering Mechanics B (SoSe 17)
    • Mechanics of Elastic Bodies (SoSe 17)
    • Computational Mechanics (WiSe 18/19, SoSe 19)
    • Mechanics of Solids (WiSe 19/20, SoSe 20)
  • Curriculum vitae
    Since 2019PhD student within the French-German Doctoral College Sophisticated Numerical and Testing Approaches (SNTA)
    2017-2020Research activity within the priority program SPP 1886 of the German Research Foundation (DFG)
    Since 2016Research assistant at IBNM
    2015Research semester abroad at Peter the Great St.Petersburg Polytechnic University, Russia
    2014-2016Master studies of Computational Engineering Science at Leibniz University Hannover
    2010-2014Bachelor studies of Civil and Environmental Engineering at Leibniz University Hannover
    1990Born in Freiburg im Breisgau