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
Showing 2022Show all

6 papers · 1 filter

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…