Results 51 to 60 of about 3,355 (214)

Stochastic Modeling of Electrical Field in Potato Tuber using Polynomial Chaos Expansion [PDF]

ITM Web of Conferences, 2019
The paper deals with numerical modeling of objects with a natural origin. The stochastic approach based on description using random variables allows processing such challenges.
Sawicki Bartosz, Krupa Artur
doaj   +1 more source

A Comparison of Surrogate Modeling Techniques for Global Sensitivity Analysis in Hybrid Simulation

Machine Learning and Knowledge Extraction, 2021
Hybrid simulation is a method used to investigate the dynamic response of a system subjected to a realistic loading scenario. The system under consideration is divided into multiple individual substructures, out of which one or more are tested physically,
Nikolaos Tsokanas, Roland Pastorino, Božidar Stojadinović   +2 more
doaj   +1 more source

Polynomial chaos expansion for operator learning

Computer Methods in Applied Mechanics and Engineering
Operator learning (OL) has emerged as a powerful tool in scientific machine learning (SciML) for approximating mappings between infinite-dimensional functional spaces. One of its main applications is learning the solution operator of partial differential equations (PDEs).
Himanshu Sharma, Lukáš Novák, Michael Shields   +2 more
openaire   +2 more sources

A conditional stochastic projection method applied to a parametric vibrations problem

Journal of Civil Engineering and Management, 2014
Parametric vibrations can be observed in cable-stayed bridges due to periodic excitations caused by a deck or a pylon. The vibrations are described by an ordinary differential equation with periodic coefficients.
Wlodzimierz Brzakala, Aneta Herbut
doaj   +1 more source

Generalized Polynomial Chaos Expansion for Fast and Accurate Uncertainty Quantification in Geomechanical Modelling

Algorithms, 2020
Geomechanical modelling of the processes associated to the exploitation of subsurface resources, such as land subsidence or triggered/induced seismicity, is a common practice of major interest.
Claudia Zoccarato, Laura Gazzola, Massimiliano Ferronato, Pietro Teatini   +3 more
doaj   +1 more source

Robust Design of Suspension System with Polynomial Chaos Expansion and Machine Learning

Наука и техника, 2020
During the early development of a new vehicle project, the uncertainty of parameters should be taken into consideration because the design may be perturbed due to real components’ complexity and manufacturing tolerances. Thus, the numerical validation of
H. Gao, L. Jézéque, E. Cabrol, B. Vitry   +3 more
doaj   +1 more source

A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws

Advanced Intelligent Discovery, EarlyView.
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows, G. Zhang, S. Anand, Z. Chen, J. Lin, A. Desai, S. Martiniani, F. Caravelli   +7 more
wiley   +1 more source

Determination of Bootstrap confidence intervals on sensitivity indices obtained by polynomial chaos expansion [PDF]

, 2012
L’analyse de sensibilité a pour but d’évaluer l’influence de la variabilité d’un ou plusieurs paramètres d’entrée d’un modèle sur la variabilité d’une ou plusieurs réponses.
Salaün, Michel, Dubreuil, Sylvain, Petitjean, Frank, Berveiller, Marc   +3 more
core  

Stable Neural Signal Recording Processed by Memristor‐Based Reservoir Computing System

Advanced Intelligent Systems, EarlyView.
This work introduces a memristor‐based reservoir computing (RC) system for real‐time, energy‐efficient processing of neural signals in brain‐machine interface (BMI). Combined with flexible mesh neural probes with tissue‐like flexibility and subcellular‐scale features that enable consistent, long‐term tracking of single‐cell neural activities, the ...
Soohyeon Kim, Yuting Wu, Finn Moore, Mingtao Hu, Xiaoyu Zhang, Sangmin Yoo, Eric Yeu‐Jer Lee, Hao Shen, Yichun He, Jia Liu, Wei D. Lu   +10 more
wiley   +1 more source

Polynomial chaos-based extended Padé expansion in structural dynamics [PDF]

, 2017
The response of a random dynamical system is totally characterized by its probability density function (pdf). However, determining a pdf by a direct approach requires a high numerical cost; similarly, surrogate models such as direct polynomial chaos ...
Jacquelin, E., Sinou, J.-J., S. Adhikari, O. Dessombz, J.‐J. Sinou, Friswell, M.I., Adhikari, Sondipon, Adhikari, S., Friswell, Michael Ian, E. Jacquelin, Sondipon Adhikari, Jacquelin, Eric, Sinou, Jean-Jacques, Dessombz, O., Dessombz, Olivier, Michael Friswell, M. I. Friswell   +16 more
core   +1 more source