activity
20202026
most citedPhase-resolved ocean wave forecast with ensemble-based data assimilation

33 citations · 104 across the 19 of their papers we have counts for

collaborators

19 papers

physics.flu-dyn2026

Kolmogorov scale in turbulence of surface gravity waves

Zhou Zhang, Yulin Pan

In this paper, we study the analogue of the Kolmogorov scale in surface gravity wave turbulence, characterized by the cutoff wavenumber at which the power-law inertial range…

stat.ME2026

Variational Goal-Oriented Optimal Experimental Design for Mixed-Distribution Quantities of Interest: Application to Ship Roll Safety

Chen Cheng, Xun Huan, Yulin Pan

Goal-oriented optimal experimental design (GO-OED) selects experiments according to the expected information gain (EIG) about a quantity of interest (QoI) rather than the full para…

cs.RO2023

A generalized likelihood-weighted optimal sampling algorithm for rare-event probability quantification

Xianliang Gong, Yulin Pan

In this work, we introduce a new acquisition function for sequential sampling to efficiently quantify rare-event statistics of an input-to-response (ItR) system with given input pr…

physics.flu-dyn2023

CFD-based Design Optimization of Ducted Hydrokinetic Turbines

Jeongbin Park, Bradford G. Knight, Yingqian Liao +6

Hydrokinetic turbines extract kinetic energy from moving water to generate renewable electricity, thus contributing to sustainable energy production and reducing reliance on fossil…

physics.flu-dyn2023

On the time scales of spectral evolution of nonlinear waves

Ashleigh Simonis, Alexander Hrabski, Yulin Pan

As presented in Annenkov & Shrira (2009), when a surface gravity wave field is subjected to an abrupt perturbation of external forcing, its spectrum evolves on a ``fast'' dynamic t…

physics.flu-dyn2023★ 10 cited

Energy cascade in the Garrett-Munk spectrum of internal gravity waves

Yue Wu, Yulin Pan

We study the spectral energy transfer due to wave-triad interactions in the Garrett-Munk spectrum of internal gravity waves (IGWs) based on a numerical evaluation of the collision…

physics.ao-ph2023★ 2 cited

Probing the Nonlinear Interactions of Supertidal Internal Waves using a High-Resolution Regional Ocean Model

Joseph Skitka, Brian K. Arbic, Ritabrata Thakur +5

The internal-wave (IW) continuum of a regional ocean model is studied in terms of the vertical spectral kinetic-energy (KE) fluxes and transfers at high vertical wavenumbers. Previ…

cs.RO2022

An adaptive multi-fidelity sampling framework for safety analysis of connected and automated vehicles

Xianliang Gong, Shuo Feng, Yulin Pan

Testing and evaluation are expensive but critical steps in the development of connected and automated vehicles (CAVs). In this paper, we develop an adaptive sampling framework to e…

nlin.PS2022

Breather Solutions to a Two-dimensional Nonlinear Schrödinger Equation with Non-local Derivatives

Alexander Hrabski, Yulin Pan

We consider the nonlinear Schrödinger equation with non-local derivatives in a two-dimensional periodic domain. For certain orders of derivatives, we find a new type of breather so…

physics.flu-dyn2022

Effects of varying initial conditions of ship encountering wave groups in computing extreme motion statistics

Xianliang Gong, Yulin Pan

In computing ship motion statistics (e.g., exceeding probability) in an irregular wave field, it is a common practice to represent the irregular waves by a large number of wave gro…

physics.flu-dyn2022

Efficient computation of temporal exceeding probability of ship responses in a random wave field

Xianliang Gong, Katerina Siavelis, Zhou Zhang +1

In this work, we develop a computational framework to efficiently quantify the temporal exceeding probability of ship responses in a random wave field, i.e., the fraction of time t…

physics.flu-dyn2022

Do surface gravity waves have a frozen turbulence state?

Zhou Zhang, Yulin Pan

We study the energy transfer by exact resonances for surface gravity waves in a finite periodic spatial domain. Based on a kinematic model simulating the generation of active wave…

physics.flu-dyn2022

Multi-fidelity Bayesian experimental design to quantify extreme-event statistics

Xianliang Gong, Yulin Pan

In this work, we develop a multi-fidelity Bayesian experimental design framework to efficiently quantify the extreme-event statistics of an input-to-response (ItR) system with give…

physics.flu-dyn2021★ 1 cited

Effects of microplastics and surfactants on surface roughness of water waves

Yukun Sun, Christopher Ruf, Thomas Bakker +1

In this paper, we study the flow physics underlying the recently developed remote sensing capability of detecting oceanic microplastics, which is based on the measurable surface ro…

physics.flu-dyn2021★ 18 cited

On the Properties of Energy Flux in Wave Turbulence

Alexander Hrabski, Yulin Pan

We study the properties of energy flux in wave turbulence via the Majda-McLaughlin-Tabak (MMT) equation with a quadratic dispersion relation. One of our purposes is to resolve the…

physics.flu-dyn2021★ 5 cited

Full Resolution of Extreme Ship Response Statistics

Xianliang Gong, Zhou Zhang, Kevin J. Maki +1

We consider the statistics of extreme ship motions in a nonlinear irregular wave field. While an accurate computation is possible by using a full Monte-Carlo method to cover all in…

physics.flu-dyn2021★ 19 cited

Numerical investigation of turbulence of surface gravity waves

Zhou Zhang, Yulin Pan

In this paper, we numerically study the wave turbulence of surface gravity waves in the framework of Euler equations of the free surface. The purpose is to understand the variation…

stat.ME2021★ 16 cited

Sequential Bayesian experimental design for estimation of extreme-event probability in stochastic dynamical systems

Xianliang Gong, Yulin Pan

We consider an input-to-response (ItR) system characterized by (1) parameterized input with a known probability distribution and (2) stochastic ItR function with heteroscedastic ra…

physics.ao-ph2020★ 33 cited

Phase-resolved ocean wave forecast with ensemble-based data assimilation

Guangyao Wang, Yulin Pan

Through ensemble-based data assimilation (DA), we address one of the most notorious difficulties in phase-resolved ocean wave forecast, regarding the deviation of numerical solutio…