structural reliability

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1 Structural Reliability Structural limit states are often defined as a difference between Strength (R) and Load (S): Probability of failure can be defined as Or, using reliability f R (r), f S (s) S, R Text PDF of Failure R - S F S (s) F R (r) f S (s*) F R (s*) Text

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Structural Reliability, definitions methods

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  • 1Structural Reliability

    Structural limit states are often defined as a difference between Strength (R) and Load (S):

    Probability of failure can be defined as

    Or, using reliabilityf R

    (r),

    fS(s

    )

    S, R

    Te

    xt

    PD

    F o

    f F

    ailu

    re

    R - S

    Text

    Text

    Text

    Text

    Text

    Text

    T e x tT e x tT e x tT e x tT e x tT e x tT e x t

    FS(s)FR(r)

    fS(s*)FR(s*)

    Te

    xt

  • 2Reliability Analysis

    Uncertainty propagate through physical system

    Physical System

    Output Uncertainty

    Inp

    ut

    Sta

    tist

    ica

    l U

    nce

    rta

    inty

    Model Uncertainty

    X S(X)

    Finite element,Mathematical modeling,Etc.

    S(X)+C(X)S(X)+K(X)S(X)=F(X)

  • 3Deterministic Optimization vs RBDO

    Initial Design

    Feasibility Check

    Design Optimization

    Critical G?Engineering

    Analysis(e.g.,, FEA)

    Converged?

    Termination

    Design Update

    Deterministic Design

    Optimization

    Preliminary Reliability Analysis

    Design Optimization

    Critical Gp?Refined

    Reliability Analysis

    Engineering Analysis

    (e.g.,, FEA)

    Converged?

    Termination

    Design Update

  • 4Reliability-Based Design Optimization (RBDO)

    Problem formulation

    Limit state:

    Design variable: d Random variable: X

    Target probability of failure:

    Target reliability index:

    Constraint is given in terms of probability of failure

    Need to evaluate PF at every design iteration

  • 5RBDO

    X2

    0

    Fatigue Failure

    G1(X)=0

    Infeasible Region G i(X)>0

    X1Feasible Region

    Gi(X)0

    Initial Design

    Wear Failure

    G2(X)=0

    Deterministic Optimum

    Design 50% Reliability!

    Joint PDF

    fX(x) Contour

    FailSafe

    Reliable Optimum

    Design

    FailSafe

  • 6Monte Carlo Simulation

    Probability of failure

    0G

    0G

  • 7Most Probable Point (MPP)-based Method

    Transform the limit state to the U-space

    Need to find MPP point

    Calculate reliability index

    X2

    0

    Failure Surfaceg(X)=0

    Failure Regiong(X)0

    Mean Value Design Point

    Joint PDFfX(x) Contour

    U2

    U1

    Pf

    Failure Regiong(U)0

    0

    Reliability

    Index

    Joint PDF fU(u)

    Joint PDFfU(u) Contour

    MPP u*

    Mapping T

  • 8MPP Search Method

    Reliability appears as a constraint in optimization

    Reliability index approach vs Performance measure approach

  • 9Reliability Index Approach (RIA)

    Find S,FORM using FORM in U-space

    HL-RF Method

    Good for reliability analysis

    Expensive with MCS and MPP-based method when reliability is high

    MPP-based method can be unstable when reliability if high or the limit state is highly nonlinear

  • 10

    RIA-RBDO

    RIA-RBDO:

    Feasible set

  • 11

    Performance Measure Approach (PMA)

    Inverse reliability analysis

    Advanced mean value method

    Not suitable for assessing reliability (t is fixed)

    Efficient and stable for design optimization

    Optimum: *( )pG u

  • 12

    PMA-RBDO

    PMA-RBDO

  • 13

    Reliability-based Sensitivity Analysis

    During optimization, gradient (sensitivity) needs to be calculated at each iteration

    For RIA, gradient of reliability index w.r.t. design variable (DV)

    For PMA, gradient of performance function w.r.t. DV

    RIA:

    From U = T(X; d)

  • 14

    Reliability-based Sensitivity Analysis

    Example Normal distribution

    Design variables are d = [m, s] of Normal distribution

    Thus,

    Example Log-Normal distribution

  • 15

    Reliability-based sensitivity analysis

    PMA:

    Regular sensitivity analysis in optimization can be used

    The sensitivity needs to be evaluated at MPP point.

    *

    ,FORM ( )

    t

    p

    i i

    G G

    d d U u

    U

    *

    ,FORM ( ( ; ))

    t

    p

    i i

    G G

    d d X x

    T X d