In this study, a Monte Carlo simulation (MCs)-based isogeometric stochastic Finite Element Method (FEM) is proposed for uncertainty quantification in the vibration analysis of piezoelectric materials. method, deterministic solutions (natural frequencies) coupled eigenvalue problem are obtained via (IGA). Moreover, MCs employed to solve various parameters, including separate elastic and constant...

Related DatabasesWeb of Science You must be logged in with an active subscription to view this.Article DataHistorySubmitted: 22 July 2020Accepted: 04 May 2021Published online: 02 September 2021Keywordsfluid dynamics, reduced order model, uncertainty quantification, stochastic closure, proper orthogonal decompositionAMS Subject Headings60H35, 65M60, 65M75, 76M35, 93B11Publication DataISSN (onlin...

Keywords: Ocean wave modeling Uncertainty quantification Generalized polynomial chaos Sparse grid collocation Sensitivity analysis Karhunen–Loeve decomposition a b s t r a c t The primary objective of this study is to introduce a stochastic framework based on generalized polynomial chaos (gPC) for uncertainty quantification in numerical ocean wave simulations. The techniques we present can be e...

Stochastic Boolean Satisfiability (SSAT) is a powerful formalism to represent computational problems with uncertainty, such as belief network inference and propositional probabilistic planning. Solving SSAT formulas lies in the PSPACEcomplete complexity class same as solving Quantified Boolean Formulas (QBFs). While many endeavors have been made to enhance QBF solving in recent years, SSAT has ...

quantitative and model-based prediction of security in the architecture design stage facilitates early detection of design faults hence reducing modification costs in subsequent stages of software life cycle. however, an important question arises with respect to the accuracy of input parameters. in practice, security parameters can rarely be estimated accurately due to the lack of sufficient kn...

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materials and methods in the first stage, no2 pollutant concentrations were measured using the data collected from air pollution monitoring stations. sampling was performed in six stations. the chosen stations have been based on the us environmental protection agency (epa) standards. in the next step, the data were processed using excel software and information was given to the airq model. data...