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Leifur Leifsson
Reykjavík University
96Publications
12H-index
599Citations
Publications 96
Newest
#1Xiaosong DuH-Index: 2
#2Robert GrandinH-Index: 3
Last.Leifur LeifssonH-Index: 12
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Ultrasonic testing (UT) is used to detect internal flaws in materials and to characterize material properties. In many applications, computational simulations are an important part of the inspection-design and analysis processes. Having fast surrogate models for UT simulations is key for enabling efficient inverse analysis and model-assisted probability of detection (MAPOD). In many cases, it is impractical to perform the aforementioned tasks in a timely manner using current simulation models di...
#1Slawomir KozielH-Index: 42
Last.Leifur LeifssonH-Index: 12
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Purpose Strategies for accelerated multi-objective optimization of aerodynamic surfaces are investigated, including the possibility of exploiting surrogate modeling techniques for computational fluid dynamic (CFD)-driven design speedup of such surfaces. The purpose of this paper is to reduce the overall optimization time. Design/methodology/approach An algorithmic framework is described that is composed of: a search space reduction, fast surrogate models constructed using variable-fidelity CFD m...
Jun 1, 2016 in ICCS (International Conference on Conceptual Structures)
#1Jacob Siegler (Iowa State University)H-Index: 2
#2Leifur Leifsson (RU: Reykjavík University)H-Index: 12
Last.Adrian Bekasiewicz (RU: Reykjavík University)H-Index: 16
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Ultrasonic testing (UT) is used to detect internal flaws in materials or to characterize material properties. Computational simulations are an important part of the UT process. Fast models are essential for UT applications such as inverse design or model-assisted probability of detection. This paper presents investigations of using surrogate modeling techniques to create fast approximate models of UT simulator responses. In particular, we propose to use data-driven surrogate modeling techniques ...
Jun 1, 2016 in ICCS (International Conference on Computational Science)
#1Jacob Siegler (Iowa State University)H-Index: 2
#2Jie Ren (Iowa State University)H-Index: 3
Last.Adrian Bekasiewicz (RU: Reykjavík University)H-Index: 16
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Supersonic vehicles are an important type of potential transports. Analysis of these vehicles requires the use of accurate models, which are also computationally expensive, to capture the highly nonlinear physics. This paper presents results of numerical investigations of using physics-based surrogate models to design supersonic airfoil shapes. Variable-fidelity models are generated using inviscid computational fluid dynamics simulations and analytical models. By using response correction techni...
#1Slawomir KozielH-Index: 42
#2Leifur LeifssonH-Index: 12
Last.Xin-She YangH-Index: 55
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This edited volume is devoted to the now-ubiquitoususe of computational models across most disciplines of engineering and science, led by a trio of world-renowned researchers in the field. Focused on recent advances of modeling and optimization techniques aimed at handling computationally-expensive engineering problems involving simulation models, this book will be an invaluable resource for specialists (engineers, researchers, graduate students) working in areas as diverse as electrical enginee...
#1Leifur LeifssonH-Index: 12
#2Slawomir KozielH-Index: 42
Last.Yonatan A. TesfahunegnH-Index: 6
view all 3 authors...
A computationally efficient procedure for multiobjective design optimization with variable-fidelity models and response surface surrogates is presented. The proposed approach uses the multiobjective evolutionary algorithm that works with a fast surrogate model, obtained with kriging interpolation of the low-fidelity model data enhanced by space-mapping correction exploiting a few high-fidelity training points. The initial Pareto front generated by multiobjective optimization of the surrogate usi...
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