activity
20192024
most citedApplication of Linear Filter and Moment Equation for Parametric Rolling in Irregular Longitudinal Waves

13 citations · 26 across the 10 of their papers we have counts for

collaborators

10 papers

physics.flu-dyn2024

Validation of Theoretical Estimation Methods and Maximum Value Distribution Calculation for Parametric Roll Amplitude in Long-Crested Irregular Waves

Keiji Katsumura, Leo Dostal, Taiga Kono +3

Parametric rolling is a parametric excitation phenomenon caused by GM variation in waves. There are a lot of studies of the estimation the conditions, the occurrence, and the ampli…

math.DS2023

Approximate probability density function for nonlinear surging in irregular following seas

Atsuo Maki, Yuuki Maruyama, Keiji Katsumura +1

The broaching that follows the surf-riding is a dangerous phenomenon that can lead to the capsizing of a vessel due to its violent yaw motion. Most of the previous studies on surf-…

physics.app-ph2023★ 1 cited

Comparison of stochastic stability boundaries for parametrically forced systems with application to ship rolling motion

Atsuo Maki, Yuuki Maruyama, Yaliu Liu +1

Numerous accidents caused by parametric rolling have been reported on container ships and pure car carriers (PCCs). A number of theoretical studies have been performed to estimate…

math.DS2022

Stochastic Assessment of Acceleration Probability Density Function for Parametric Rolling Using Moment Method

Yuuki Maruyama, Atsuo Maki, Leo Dostal +1

Container ships encounter large roll angles and high acceleration, and container loss remains a problem. This study proposes a method for calculating the probability density functi…

math.DS2021★ 13 cited

Application of Linear Filter and Moment Equation for Parametric Rolling in Irregular Longitudinal Waves

Yuuki Maruyama, Atsuo Maki, Leo Dostal +1

Parametric rolling is one of the dangerous dynamic phenomena. In order to discuss the safety of a vessel when a dangerous phenomenon occurs, it is important to estimate the probabi…

physics.geo-ph2020★ 4 cited

Localized stationary seismic waves predicted using a nonlinear gradient elasticity model

Leo Dostal, Marten Hollm, Andrei V. Metrikine +2

This paper aims at investigating the existence of localized stationary waves in the shallow subsurface whose constitutive behaviour is governed by the hyperbolic model, implying no…

cs.RO2020

Experimental Study on Reinforcement Learning-based Control of an Acrobot

Leo Dostal, Alexej Bespalko, Daniel A. Duecker

We present computational and experimental results on how artificial intelligence (AI) learns to control an Acrobot using reinforcement learning (RL). Thereby the experimental setup…

nlin.PS2020★ 2 cited

Soliton Collision in Random Seas

Hendrik Fischer, Marten Hollm, Leo Dostal

Although extreme or freak waves are repeatedly measured in the oceans, their origin is largely unknown. The interaction of different water waves is seen as one reason for their eme…

nlin.PS2019

Study on the Behavior of Weakly Nonlinear Water Waves in the Presence of Random Wind Forcing

Leo Dostal, Marten Hollm, Edwin Kreuzer

Specific solutions of the nonlinear Schrödinger equation, such as the Peregrine breather, are considered to be prototypes of extreme or freak waves in the oceans. An important ques…

math.AP2019★ 6 cited

First Passage Time of Nonlinear Diffusion Processes with Singular Boundary Behavior

Leo Dostal, Navaratnam Sri Namachchivaya

New theorems for the moments of the first passage time of one dimensional nonlinear stochastic processes with an entrance boundary are formulated. This important class of one dimen…