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RELIABLE DYNAMIC ANALYSIS OF

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Title: RELIABLE DYNAMIC ANALYSIS OF


1
  • RELIABLE DYNAMIC ANALYSIS OF
  • TRANSPORTATION SYSTEMS
  • Mehdi Modares, Robert L. Mullen and Dario A.
    Gasparini
  • Department of Civil Engineering
  • Case Western Reserve University

2
  • Dynamic Analysis
  • An essential procedure in transportation
    engineering to design a structure subjected to a
    system of moving loads.

3
  • Dynamic Analysis
  • In conventional dynamic analysis of
    transportation systems, the possible existence of
    any uncertainty present in the structures
    mechanical properties and loads characteristics
    is not considered.

4
  • Uncertainty in Transportation Systems
  • Attributed to
  • Structures Physical Imperfections
  • Inaccuracies in Determination of Moving Load
  • Modeling Complexities of Vehicle-Structure
    Interaction
  • For reliable design, the presence of
    uncertainty must be included in analysis
    procedures

5
  • Objective
  • To introduce a method for dynamic analysis of a
    structure subjected to a moving load with
    properties of structure and load expressed as
    interval quantities.
  • Procedure
  • To enhance the conventional continuous dynamic
    analysis for considering the presence of
    uncertainties.

6
  • Presentation Outline
  • Review of deterministic continuous dynamic
    analysis
  • Fundamentals of structural uncertainty analysis
  • Introduce interval continuous dynamic analysis
  • Example and conclusion

7
  • Dynamic Analysis of Continuous Systems
  • Considering a flexural beam subjected to a load
    moving with constant velocity
  • The partial differential equation of motion

8
  • Solution to Free Vibration
  • Considering the free vibration and assuming a
    harmonic function
  • Substitute in the equation of motion, the linear
    eigenvalue problem
  • Considering

9
  • Solution to Free Vibration (Cont.)
  • Consider the solution
  • Applying boundary conditions for simply-supported
    beam
  • The non-trivial solution to the characteristic
    equation can be obtained.

10
  • Eigenvalues and Eigenfunctions
  • Natural circular frequencies (Eigenvalue)
  • Mass-orthonormalized mode shape (Eigenfunction)
  • Normalized by

11
  • Orthogonality
  • Considering two different mode shapes
  • Orthogonality of eigenfunctions with respect to
    left and right linear operators in eigenvalue
    problem.

12
  • Solution to Forced Vibration
  • The solution for the forced vibration may be
    expressed as
  • where is the modal coordinate.
  • Substituting in equation of motion, decoupling
    by
  • Premultiplying by each mode shape
  • Integrating over the domain
  • Invoking orthogonality
  • Adding modal damping ratio

13
  • Decoupled System
  • The modal equation of motion is
  • or
  • where is the modal
    participation factor.

14
  • Updated Modal Coordinate
  • Considering an updated modal coordinate
  • The updated modal equation

15
  • Maximum Modal Coordinate
  • Response Spectrum Function of maximum dynamic
    amplification response versus the natural
    frequencies for an assumed damping ratio.
  • The maximum modal coordinate is obtained using
    response spectrum of each mode for a given
    and .
  • Biot (1932)

16
  • Maximum Modal Response
  • The maximum modal displacement response is the
    product of
  • Maximum modal coordinate
  • Modal participation factor
  • Mode shape

17
  • Total Response (Deterministic)
  • In the final step, the finite contributions (N )
    all maximum modal responses must be combined to
    determine the total response
  • Summation of absolute values of modal responses
  • Square Root of Sum of Squares (SRSS) of modal
    maxima
  • Rosenbleuth (1962)

18
  • Engineering Uncertainty Analysis
  • Formulation
  • Modifications on the representation of the
    system characteristics due to presence of
    uncertainty
  • Computation
  • Development of schemes capable of considering
    the uncertainty throughout the solution process

19
  • Uncertainty Analysis Schemes
  • Considerations
  • Consistent with the systems physical behavior
  • Computationally feasible

20
  • Paradigms of Uncertainty Analysis
  • Stochastic Analysis Random variables
  • Fuzzy Analysis Fuzzy variables
  • Interval Analysis Interval variables

21
  • Interval Variable
  • A real interval is a set of the form
  • Archimedes (287-212 B.C.)

22
  • Interval Dynamic Analysis
  • Considering a beam with uncertain modulus of
    elasticity subjected to an uncertain load
    ,
  • The partial differential equation of motion

23
  • Interval Eigenvalue Problem
  • The solution to interval linear eigenvalue
    problem

24
  • Solution
  • Interval natural circular frequencies (Interval
    Eigenvalue)
  • Mode shape (Eigenfunction)

25
  • Monotonic Behavior of Frequencies
  • Re-writing interval natural circular frequencies
  • In continuous dynamic system, it is self-evident
    that the variation in stiffness properties causes
    a monotonic change in values of frequencies.

26
  • Interval Eigenvalue Problem in Discrete Systems
  • Interval eigenvalue problem using the interval
    global stiffness matrix
  • Rayleigh quotient (ratio of quadratics)

27
  • Bounds on Natural Frequencies
  • The first eigenvalue Minimum
  • The next eigenvalues Maximin Characterization

28
  • Bounding Deterministic Eigenvalue Problems
  • Solution to interval eigenvalue problem
    correspond to the maximum and minimum natural
    frequencies
  • Two deterministic problems capable of bounding
    all natural frequencies of the interval system
  • (Modares and Mullen 2004)

29
  • Maximum Modal Coordinate
  • Having the interval natural frequency, the
    interval modal coordinate is determined using
    modal response spectrum as
  • The maximum modal coordinate

30
  • Maximum Modal Participation Factor
  • The interval modal participation factor
  • The maximum modal participation factor

31
  • Maximum Modal Response
  • The maximum modal displacement response is the
    product of
  • Maximum modal coordinate
  • Maximum modal participation factor
  • Mode shape

32
  • Total Response
  • In the final step, the finite contributions all
    maximum modal responses is combined using Square
    Root of Sum of Squares (SRSS) of modal maxima

33
  • Example
  • A continuous flexural simply-supported beam with
    interval uncertainty in the modulus of elasticity
    and magnitude of moving load.
  • Structures Properties
  • Load Properties

34
  • Solution
  • The problem is solved by
  • The present interval method
  • Monte-Carlo simulation
  • (using bounded uniformly distributed random
    variables in
  • 10000 simulations)

35
  • Results
  • Bounds on the fundamental natural frequency
    (first mode)

Lower Bound Present Method Lower Bound Monte-Carlo Simulation Upper Bound Monte-Carlo Simulation Upper Bound Present Method
1.41717 1.41718 1.56673 1.56675
36
  • Response Spectrum for Fundamental Frequency

37
  • Results
  • The upperbounds the mid-span displacement
    response for the fundamental mode

Upper Bound Monte-Carlo Simulation Upper Bound Present Method
8.06557e-004 8.12128e-004
38
  • Beam Fundamental-Mode Response

39
  • Conclusion
  • A new method for continuous dynamic analysis of
    transportation systems with uncertainty in the
    mechanical characteristics of the system as well
    as the properties of the moving load is
    developed.
  • This computationally efficient method shows that
    implementation of interval analysis in a
    continuous dynamic system preserves the problems
    physics and the yields sharp and robust results.
    This may be attributed to nature of the
    closed-form solution in continuous dynamic
    systems.
  • The results show that obtaining bounds does not
    require expensive stochastic procedures such as
    Monte-Carlo simulations.
  • The simplicity of the proposed method makes it
    attractive to introduce uncertainty in analysis
    of continuous dynamic systems.

40
  • Questions
  •  
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