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Stochastic isogeometric analysis method for plate structures with random uncertainty

Published: 01 October 2019 Publication History

Highlights

Stochastic isogeometric analysis method for random responses of plates is proposed.
Benchmark solutions of stochastic responses for rectangular plate are achieved.
Effects of correlation lengths, boundary conditions and loading cases are scrutinized.
The proposed stochastic IGA presents high efficiency and acceptable accuracy.

Abstract

This paper proposes the stochastic isogeometric analysis (IGA) method in conjunction with the perturbation technique for random response analysis of plate structures. Specifically, the benchmark solutions of stochastic deflection responses for rectangular plate are achieved. Firstly, the random field is represented by Karhunen-Loève expansion, and the corresponding analytical formulas of the Fredholm integral equation for rectangular plate are illustrated to obtain the benchmark stochastic responses. Subsequently, the stochastic IGA framework is suggested by combining isogeometric analysis with the first-order perturbation technique, especially for the bending problems of circular Mindlin plates and Kirchhoff plates. Moreover, the first two moments of stochastic responses of plate structures are formulated. Finally, the efficiency and applicability of the stochastic IGA method are demonstrated by three numerical examples. To compare with the efficiency and accuracy of proposed method, the mean values, standard deviations and coefficients of variation of stochastic responses are calculated by Monte Carlo simulation. For the rectangular and circular Kirchhoff thin plates, the effects of different correlation lengths, boundary conditions and loading cases on stochastic responses and uncertainty propagation are scrutinized. It is also indicated that the proposed stochastic IGA method presents high efficiency and acceptable accuracy of random structural analysis of plates.

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  • (2023)Solving boundary value problems via the Nyström method using spline Gauss rulesComputers & Mathematics with Applications10.1016/j.camwa.2023.04.035143:C(33-47)Online publication date: 1-Aug-2023

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            Published In

            cover image Computer Aided Geometric Design
            Computer Aided Geometric Design  Volume 74, Issue C
            Oct 2019
            142 pages

            Publisher

            Elsevier Science Publishers B. V.

            Netherlands

            Publication History

            Published: 01 October 2019

            Author Tags

            1. Stochastic structural analysis
            2. Plate structures
            3. Stochastic isogeometric analysis method
            4. Karhunen-Loève expansion
            5. Perturbation technique
            6. Random responses

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            • (2023)Solving boundary value problems via the Nyström method using spline Gauss rulesComputers & Mathematics with Applications10.1016/j.camwa.2023.04.035143:C(33-47)Online publication date: 1-Aug-2023

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