Uncertainty Analysis of the Dynamic Response of a Randomly Parametrized Corrugated Skin

Proceedings of the Twelfth International Conference on Computational Structures Technology ◽

10.4203/ccp.106.128 ◽

2014 ◽

Author(s):

A. Kundu ◽

F.A. DiazDelaO ◽

M.I. Friswell ◽

S. Adhikari

Keyword(s):

Dynamic Response ◽

Uncertainty Analysis ◽

Corrugated Skin

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Dynamic response of a monopile wind turbine in waves: Experimental uncertainty analysis for validation of numerical tools

Applied Ocean Research ◽

10.1016/j.apor.2019.05.002 ◽

2019 ◽

Vol 89 ◽

pp. 96-114 ◽

Cited By ~ 4

Author(s):

Erin Bachynski ◽

Maxime Thys ◽

Virgile Delhaye

Keyword(s):

Dynamic Response ◽

Uncertainty Analysis ◽

Wind Turbine ◽

Experimental Uncertainty ◽

Numerical Tools

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Uncertainty analysis of corrugated skin with random elastic parameters and surface topology

16th AIAA Non-Deterministic Approaches Conference ◽

10.2514/6.2014-0814 ◽

2014 ◽

Author(s):

Abhishek Kundu ◽

F. A. DiazDelaO ◽

Michael I. Friswell ◽

Sondipon Adhikari

Keyword(s):

Uncertainty Analysis ◽

Surface Topology ◽

Elastic Parameters ◽

Corrugated Skin

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Uncertainty Analysis on Vehicle-Bridge System with Correlative Interval Variables Based on Multidimensional Parallelepiped Model

International Journal of Computational Methods ◽

10.1142/s0219876218500305 ◽

2018 ◽

Vol 15 (05) ◽

pp. 1850030 ◽

Cited By ~ 5

Author(s):

Van Huy Truong ◽

Jie Liu ◽

Xianghua Meng ◽

Chao Jiang ◽

Trong Tien Nguyen

Keyword(s):

Dynamic Response ◽

Uncertainty Analysis ◽

Great Influence ◽

Upper And Lower Bounds ◽

Analysis Method ◽

Partial Difference ◽

Interval Analysis Method ◽

Interval Variables ◽

Multidimensional Parallelepiped Model ◽

Bridge System

For vehicle-bridge system, structural uncertainties, especially the interval variables with correlation, have a great influence on dynamic response. Therefore, this paper proposes an effective uncertainty analysis method for vehicle-bridge system based on multidimensional parallelepiped (MP) model, which can reasonably deal with the correlation of interval variables. First, the vehicle-bridge system is simplified as a four degrees-of-freedom mass-spring vehicle model running on a simply supported beam. MP model is adopted to describe the uncertainties of all the interval variables. Second, via affine coordinate system transform, the interval variables with correlation are transformed as the independent variables, which is very convenient for uncertainty analysis. Finally, the uncertain dynamic response is approximated through the first-order Taylor interval expansion, and the upper and lower bounds can be calculated using the dynamic response at midpoints and the partial difference multiplied by interval radius. Because the correlation is sufficiently considered, the uncertainty analysis results on vehicle–bridge interaction system will be much more accurate than the traditional interval analysis method (IAM). Numerical example demonstrates the correctness and effectiveness of the proposed method.

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