Results 61 to 70 of about 303 (161)

Bayesian Adaptive Polynomial Chaos Expansions

Stat, Volume 15, Issue 1, March 2026.
ABSTRACT Polynomial chaos expansions (PCEs) are widely used for uncertainty quantification (UQ) tasks, particularly in the applied mathematics community. However, PCE has received comparatively less attention in the statistics literature, and fully Bayesian formulations remain rare—especially with implementations in R.
Kellin N. Rumsey, Devin Francom, Graham Gibson, J. Derek Tucker, Gabriel Huerta   +4 more
wiley   +1 more source

Reliability-Based Robust Design Optimization Using Data-Driven Polynomial Chaos Expansion

Machines
As the complexity of modern engineering systems continues to increase, traditional reliability analysis methods still face challenges regarding computational efficiency and reliability in scenarios where the distribution information of random variables ...
Zhaowang Li, Zhaozhan Li, Jufang Jia, Xiangdong He   +3 more
doaj   +1 more source

Addressing ecological challenges from a quantum computing perspective

Methods in Ecology and Evolution, Volume 17, Issue 3, Page 632-649, March 2026.
Abstract With increased access to data and the advent of computers, the use of statistical tools and numerical simulations is becoming commonplace for ecologists. These approaches help improve our understanding of ecological phenomena and their underlying mechanisms in increasingly complex environments.
Maxime Clenet, Maxime Dion, F. Guillaume Blanchet   +2 more
wiley   +1 more source

Probabilistic Identification of Parameters in Dynamic Fracture Propagation

International Journal for Numerical Methods in Engineering, Volume 127, Issue 4, 28 February 2026.
ABSTRACT In this paper, we propose a novel multiphase approach for identifying input parameters in dynamic fracture propagation. Often, such parameters are partially known and uncertain with incomplete input data, resulting in challenges in predicting a reliable dynamic failure response.
Andjelka Stanić, Mijo Nikolić, Hermann G. Matthies, Noémi Friedman   +3 more
wiley   +1 more source

Physics‐Informed Emulation of Systemic Circulation for Fast Parameter Estimation and Uncertainty Quantification

International Journal for Numerical Methods in Biomedical Engineering, Volume 42, Issue 2, February 2026.
This work presents an innovative approach to modelling 1D fluid dynamics in complex networks using physics‐informed neural networks as surrogate models. By integrating physics‐based constraints with data‐driven learning, we develop an efficient and generalisable framework for uncertainty quantification and parameter estimation in real‐world ...
William Ryan, Alyssa Taylor‐LaPole, Mette Olufsen, Dirk Husmeier, Vladislav Vyshemirskiy   +4 more
wiley   +1 more source

Uncertainty Analysis of Transonic Aerodynamics for Wing-Mounted Aircraft

气体物理
Since random uncertainty may cause severe aerodynamic performance fluctuations for the wing-mounted aircraft, the Gaussian process regression (GPR) surrogate model method based on was proposed.
Shaochang MO, Xinshuai ZHANG, Fangfang XIE, Tingwei JI, Yao ZHENG   +4 more
doaj   +1 more source

On optimal experimental designs for Sparse Polynomial Chaos Expansions

, 2017
Uncertainty quantification (UQ) has received much attention in the literature in the past decade. In this context, Sparse Polynomial chaos expansions (PCE) have been shown to be among the most promising methods because of their ability to model highly complex models at relatively low computational costs.
Fajraoui, N., Marelli, S., Sudret, B.
openaire   +2 more sources

Structural Identification and Monitoring based on Uncertain/Limited Information

MATEC Web of Conferences, 2015
The goal of the present study is to propose a structural identification framework able to exploit both vibrational response and operational condition information in extracting structural models, able to represent the systemspecific structural behavior in
Chatzi Eleni N., Spiridonakos Minas D.
doaj   +1 more source

Uncertainty analysis in the design of Type-IV composite pressure vessels for hydrogen storage

Composites Part C: Open Access
This study focuses on uncertainty quantification (UQ) and global sensitivity analysis (GSA) for the burst pressure (BP) in Type-IV hydrogen composite pressure vessels.
Yao Koutsawa, Lyazid Bouhala
doaj   +1 more source

Identification of Interaction Characteristics Between Control and Protection for Co-Design in an MVDC System

IEEE Open Journal of Power Electronics
Medium-voltage direct current (MVDC) systems exhibit fast fault dynamics and may involve complex interactions between control and protection parameters. This paper applies a global sensitivity analysis (GSA) framework based on Bayesian Sparse Polynomial ...
Jaqueline Cabanas Ramos, Ilka Jahn, Ferdinanda Ponci, Antonello Monti   +3 more
doaj   +1 more source