Analysis of deformation of mistuned bladed disks with friction and random crystal anisotropy orientation using gradient-based polynomial chaos expansion [PDF]
, 2018 Single crystal blades used in high pressure turbine bladed disks of modern gas-turbine engines exhibit material anisotropy. In this paper the sensitivity analysis is performed to quantify the effects of blade material anisotropy orientation on ...
Petrov, Yevgen, Rajasekharan Nair, Rahul
core +1 more source
Seismic fragility analysis using stochastic polynomial chaos expansions
Probabilistic Engineering Mechanics, 2023 Within the performance-based earthquake engineering (PBEE) framework, the fragility model plays a pivotal role. Such a model represents the probability that the engineering demand parameter (EDP) exceeds a certain safety threshold given a set of selected intensity measures (IMs) that characterize the earthquake load.
Zhu X., Broccardo M., Sudret B.
openaire +3 more sources
Machines, 2023 This paper presents an efficient method for obtaining the dynamic mesh stiffness and dynamic response of a helical gear pair. Unlike the traditional dynamic model that utilizes a time-dependent sequence, the mesh stiffness using the presented method is ...
Hongxu Tian +3 more
doaj +1 more source
Geo-acoustic inversion using polynomial chaos expansion [PDF]
Acta Physica Sinica, 2021 In order to improve the computational efficiency of algorithms while exploring the method to overcome the ambiguity problems in underwater geo-acoustic inversion, we use the data of transmission losses at the broadband sound frequencies and multiple propagating distances with the matrix of polynomial chaos expansion coefficients of transmission losses ...
Feng-Hua Li, Han-Zhuo Wang
openaire +1 more source
Decoupled UMDO formulation for interdisciplinary coupling satisfaction under uncertainty [PDF]
, 2014 International audienceAt early design phases, taking into account uncertainty for the optimization of a multidisciplinary system is essential to establish the optimal system characteristics and performances.
Balesdent, Mathieu +3 more
core +2 more sources
Particle based gPC methods for mean-field models of swarming with uncertainty [PDF]
, 2018 In this work we focus on the construction of numerical schemes for the approximation of stochastic mean--field equations which preserve the nonnegativity of the solution.
Carrillo, J. A. +2 more
core +2 more sources
Vibration Analysis of Driving-Point System with Uncertainties Using Polynomial Chaos Expansion
Shock and Vibration, 2020 A vibration transfer analysis method based on polynomial chaos expansion (PCE) is proposed in this study and is used to analyze the stochastic dynamic compliance of uncertain systems with the Gaussian distribution.
Bin Xiao +5 more
doaj +1 more source
A posteriori error estimation for stochastic static problems [PDF]
, 2014 To solve stochastic static field problems, a discretization by the Finite Element Method can be used. A system of equations is obtained with the unknowns (scalar potential at nodes for example) being random variables. To solve this stochastic system, the
CLENET, Stéphane, MAC, Hung
core +6 more sources
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 +2 more
doaj +1 more source