Abstract <p>This paper investigates the long-time behaviour of solutions to the <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\varepsilon \)</EquationSource> <!--TechPhLt2560051Tizaoui-m1--> </InlineEquation>-perturbed Fokker–Planck–Kolmogorov (FPK) equation in the context of ship roll dynamics under stochastic sea excitation. Starting from a stochastic model of a ship navigating in a transverse sea, we derive the associated FPK equation governing the time evolution of the joint probability density function (PDF) of the roll angle, angular velocity, and wave-induced excitation. The theoretical analysis focuses on the asymptotic behaviour of the PDF as time tends to infinity, demonstrating that the probability of capsize stabilises and eventually becomes time-invariant. This result offers new insights into the probabilistic stability of ships subjected to random sea conditions. To support these theoretical findings, we implement a finite-difference numerical scheme that accurately captures the transient dynamics and confirms convergence towards the steady-state distribution. The simulations validate the analytical predictions and underline the robustness of the proposed approach for long-term stability assessments in marine engineering applications.</p>

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Asymptotic Behavior of Solutions to the ε-Perturbed Fokker–Planck–Kolmogorov Equation for Long-Time Ship Stability Analysis

  • Abdelkader Tizaoui

摘要

Abstract

This paper investigates the long-time behaviour of solutions to the \(\varepsilon \) -perturbed Fokker–Planck–Kolmogorov (FPK) equation in the context of ship roll dynamics under stochastic sea excitation. Starting from a stochastic model of a ship navigating in a transverse sea, we derive the associated FPK equation governing the time evolution of the joint probability density function (PDF) of the roll angle, angular velocity, and wave-induced excitation. The theoretical analysis focuses on the asymptotic behaviour of the PDF as time tends to infinity, demonstrating that the probability of capsize stabilises and eventually becomes time-invariant. This result offers new insights into the probabilistic stability of ships subjected to random sea conditions. To support these theoretical findings, we implement a finite-difference numerical scheme that accurately captures the transient dynamics and confirms convergence towards the steady-state distribution. The simulations validate the analytical predictions and underline the robustness of the proposed approach for long-term stability assessments in marine engineering applications.