Leo Dostal

Dr. Leo Dostal

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Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 October 2012 in Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
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LDLeo Dostal
Leo Dostal
EKE. Kreuzer
E. Kreuzer
NNN. Sri Namachchivaya
N. Sri Namachchivaya
The current intact stability criteria for ships do not account for their dynamic behaviour in irregular waves sufficiently. We provide analytical criteria for ship and sea state parameters that indicate large roll amplitudes or capsizing and determine the mean time for these events. These results can be used to formulate vulnerability criteria for the occurrence of parametric roll. We use reduced order models in order to perform an analytical analysis to this complicated problem. Therefore, we study the dynamics of a ship in random seas as a perturbation of a Hamiltonian system. The random process across the energy levels of the Hamiltonian system is approximated by a Markov process, which is obtained by stochastic averaging. The noise owing to wave excitation is a non-white stationary stochastic process. This is an extension to previous results, where white noise excitation was used.

8 June 2022 in Applied Energy
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JHJulius Harms
Julius Harms
MHMarten Hollm
Marten Hollm
LDLeo Dostal
Leo Dostal
TKThorsten Alexander Kern
Thorsten Alexander Kern
RSRobert Seifried
Robert Seifried

3 November 2017 in ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik
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LDLeo Dostal
Leo Dostal
KKKevin Korner
Kevin Korner
EKEdwin Kreuzer
Edwin Kreuzer
DYDaniil Yurchenko
Daniil Yurchenko
We present new solutions for the dynamics of a pendulum energy converter which is vertically excited at its suspension point. Thereby, we deal with a random excitation by a non‐white Gaussian stochastic process. We formulate the pendulum energy converter as a weakly perturbed Hamiltonian system. The random process across the energy levels of the Hamiltonian system is then approximated by a Markov process, which is obtained by stochastic averaging. This procedure leads to analytical results for the energy of the pendulum motion, which are used for analyzing the required probability of reaching higher energy states of the pendulum energy converter in order to maximize the harvested energy.

9 December 2019 in Nonlinear Dynamics
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LDLeo Dostal
Leo Dostal
MHMarten Hollm
Marten Hollm
EKEdwin Kreuzer
Edwin Kreuzer

26 March 2022 in Ocean Engineering
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YLYaliu Liu
Yaliu Liu
LLLiqin Liu
Liqin Liu
LDLeo Dostal
Leo Dostal
JLJiang Lu
Jiang Lu

18 September 2018 in European Journal of Applied Mathematics
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LDLeo Dostal
Leo Dostal
MPMarc-André Pick
Marc-André Pick
Results on the behaviour of a pendulum which is parametrically excited by large amplitude random loads at its pivot are presented, including a novel experimental case study. Thereby, it is dealt with a random excitation by a non-white Gaussian stochastic process with prescribed spectral density. Special focus is devoted to stochastic processes resulting from random sea wave elevation and the question whether random sea waves can lead to rotational motion of the parametrically excited pendulum. The motivation for such an experimental study is energy harvesting from ocean waves.