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Research Papers

Analysis of Coupled Bending-Torsional Vibration of Beams in the Presence of Uncertainties

[+] Author and Article Information
Singiresu S. Rao

Professor
Department of Mechanical and
Aerospace Engineering,
University of Miami,
Coral Gables, FL 33146
e-mail: srao@miami.edu

Hongling Jin

Department of Mechanical and
Aerospace Engineering,
University of Miami,
Coral Gables, FL 33146

Contributed by the Technical Committee on Vibration and Sound of ASME for publication in the JOURNAL OF VIBRATION AND ACOUSTICS. Manuscript received June 23, 2013; final manuscript received June 4, 2014; published online July 25, 2014. Assoc. Editor: Thomas J. Royston.

J. Vib. Acoust 136(5), 051004 (Jul 25, 2014) (8 pages) Paper No: VIB-13-1216; doi: 10.1115/1.4027843 History: Received June 23, 2013; Revised June 04, 2014

Several methods are presented for the modeling and analysis of uncertain beams and other structural elements/systems. By representing each uncertain parameter as an interval number, the vibration problem associated with any uncertain system can be expressed in the form of a system of nonlinear interval equations. The resulting equations can be solved using the exact or a truncation-based interval analysis method. An universal grey number-based approach and an interval-discretization method are proposed to obtain more efficient and/or more accurate solutions. Specifically, the problem of the coupled bending-torsional vibration of a beam involving uncertainties is considered. It is found that the range of the solution (response) increases with increasing levels of uncertainty in all the methods. Numerical examples are presented to illustrate the computational aspects of the methods presented and also to indicate the high accuracy of the interval-discretization approach in finding the solution of practical uncertain systems. The results given by the different interval analysis methods (including the universal grey number-based analysis) are compared with those given by the Monte Carlo method (probabilistic approach) and the results are found to be in good agreement with those given by the interval analysis-based methods for similar data.

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References

Figures

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Fig. 1

Beam with channel section

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Fig. 2

Flow chart of the forward and backward searching algorithm

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Fig. 3

Bounds on the natural frequencies

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Fig. 4

Bounds on the ratio of normal modes

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Fig. 5

A two-bar structure (truss)

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