2022
DOI: 10.3389/fphy.2022.1111159
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Sensitivity analysis of flexoelectric materials surrogate model based on the isogeometric finite element method

Abstract: In this paper proposes a sensitivity analysis method based on a Polynomial Chaos Expansion (PCE) surrogate model for flexoelectric materials. The non-uniform rational B-splines (NURBS) basis functions to discretize the fourth-order partial differential equation for flexoelectricity and obtains a deterministic solution (electric potential). The mathematical expressions of surrogate model for the flexoelectric materials are established by considering uncertain parameters such as independent Young’s modulus, conc… Show more

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Cited by 3 publications
(2 citation statements)
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“…The polynomial chaos expansion method has the advantages of constructing surrogate models with high accuracy, computing system responses efficiently, and handling systems with cross-terms effectively. It has been widely used in different engineering fields, such as heat conduction [32], structural mechanics [33,34], fluid mechanics [35], environmental and acoustic fields [36,37], electrical properties of nanomaterials [38], flexoelectric materials [39], and stochastic difference equations [40].…”
Section: Introductionmentioning
confidence: 99%
“…The polynomial chaos expansion method has the advantages of constructing surrogate models with high accuracy, computing system responses efficiently, and handling systems with cross-terms effectively. It has been widely used in different engineering fields, such as heat conduction [32], structural mechanics [33,34], fluid mechanics [35], environmental and acoustic fields [36,37], electrical properties of nanomaterials [38], flexoelectric materials [39], and stochastic difference equations [40].…”
Section: Introductionmentioning
confidence: 99%
“…Numerous areas are affected practically by wave propagation in an unlimited domain [1][2][3][4][5][6][7][8]. Although a lot of efforts have been put into modeling this issue, it focuses on deterministic systems.…”
Section: Introductionmentioning
confidence: 99%