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    Item type:Publication, Access status: with files ,
    Optimization of drag embedment anchors applying multi-objective evolutionary algorithm NSGA-II
    (Elsevier, 2025-12)
    Cerek, Kacper
    ;
    Hadjiloo, Elnaz
    ;
    Grabe, Jürgen
    ;
    Dao, Duy Anh
    Establishing renewables on a floating platform in the deep sea needs secure anchoring to the seabed, commonly achieved with drag embedment anchors (DEAs). The conventional design process relies heavily on empirical testing and is often time and resource-intensive, potentially leading to suboptimal designs. This research aims to overcome these limitations by applying an evolutionary optimization algorithm to existing analytical solutions for DEAs, identifying optimal anchor fluke and shank lengths. By leveraging an optimization strategy, we aim to enhance the design process while diminishing the dependency on exhaustive physical testing and high computational cost. We employ the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) to optimize anchor shapes, with a focus on three key objectives: maximizing embedment depth and bearing capacity, and minimizing anchor volume. The methodology presents a Pareto front, encompassing all optimal solutions based on the formulated objectives, and demonstrates the efficiency of NSGA-II as a tool for optimizing anchor shapes.
    Publicationtype: Journal Article
      17  10
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    Item type:Publication, Access status: without files ,
    Sustainable dike adaptation measures using finite element method and optimization algorithm NSGA-II
    (Springer, 2024-07-11)
    Cerek, Kacper
    ;
    Hadjiloo, Elnaz
    ;
    Grabe, Jürgen
    Given the context of climate change, it is imperative to adapt the majority of existing flood defence systems using sustainable methods. Multi-objective evolutionary algorithms, like NSGA-II, offer a valuable decision support tool for exploring different designs based on predefined objectives. This paper specifically examines the application of the NSGA-II optimization algorithm in geotechnical problems by integrating it with FEM simulations, where slope horizontal runs are considered as variables. Throughout the study, different sets of termination criteria are employed to optimize the reduction of structural exploitation and the expected CO2 footprint.
    Publicationtype: Conference Paper
      32