16 citations · 21 across the 9 of their papers we have counts for
9 papers
Efficient Estimation of Temporal Exceeding Probability for Ship Responses in Broadband Wave Fields
Shayesteh Hafezi, Xianliang Gong, Yulin Pan
In this paper, we develop an efficient method to evaluate the temporal exceeding probability of ship motion (percentage of time for the ship motion to be above a given high thresho…
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…
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…
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…
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…
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…
Discussion: "Bayesian Optimal Design of Experiments for Inferring the Statistical Expectation of Expensive Black-Box Functions" (Pandita, P., Bilionis, I., and Panchal, J., 2019. ASME. J. Mech. Des. 141(10): 101404)
Xianliang Gong, Yulin Pan
The authors of the discussed paper simplified the information-based acquisition on estimating statistical expectation and developed analytical computation for each involved quantit…
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…
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…