STRUCTURAL FAULT DETECTION OF BRIDGES BASED ON LINEAR SYSTEM PARAMETER AND MTS METHOD

Similar documents
MECE 3320 Measurements & Instrumentation. Static and Dynamic Characteristics of Signals

Almost unbiased exponential estimator for the finite population mean

Lecture 12: Introduction to nonlinear optics II.

Dr. Junchao Xia Center of Biophysics and Computational Biology. Fall /21/2016 1/23

Least squares and motion. Nuno Vasconcelos ECE Department, UCSD

Chap 2: Reliability and Availability Models

Almost Unbiased Exponential Estimator for the Finite Population Mean

CHAPTER: 3 INVERSE EXPONENTIAL DISTRIBUTION: DIFFERENT METHOD OF ESTIMATIONS

Mathematical Statistics. Chapter VIII Sampling Distributions and the Central Limit Theorem

Reliability analysis of time - dependent stress - strength system when the number of cycles follows binomial distribution

8. Queueing systems. Contents. Simple teletraffic model. Pure queueing system

Series of New Information Divergences, Properties and Corresponding Series of Metric Spaces

Algorithms to Solve Singularly Perturbed Volterra Integral Equations

Control Systems (Lecture note #6)

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables

Gauge Theories. Elementary Particle Physics Strong Interaction Fenomenology. Diego Bettoni Academic year

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables

Introduction to logistic regression

Two-Dimensional Quantum Harmonic Oscillator

System-reliability-based design and topology optimization of structures under constraints on first-passage probability

Improvement of the Reliability of a Series-Parallel System Subject to Modified Weibull Distribution with Fuzzy Parameters

Phys Nov. 3, 2017 Today s Topics. Continue Chapter 2: Electromagnetic Theory, Photons, and Light Reading for Next Time

Anouncements. Conjugate Gradients. Steepest Descent. Outline. Steepest Descent. Steepest Descent

Introduction to Laplace Transforms October 25, 2017

Major: All Engineering Majors. Authors: Autar Kaw, Luke Snyder

Boyce/DiPrima 9 th ed, Ch 7.6: Complex Eigenvalues

On the Existence and uniqueness for solution of system Fractional Differential Equations

Unbalanced Panel Data Models

Inference on Curved Poisson Distribution Using its Statistical Curvature

k of the incident wave) will be greater t is too small to satisfy the required kinematics boundary condition, (19)

3.4 Properties of the Stress Tensor

Supplementary Figure 1. Experiment and simulation with finite qudit. anharmonicity. (a), Experimental data taken after a 60 ns three-tone pulse.

A NOVEL DIFFERENCE EQUATION REPRESENTATION FOR AUTOREGRESSIVE TIME SERIES

ASYMPTOTIC BEHAVIOR OF FINITE-TIME RUIN PROBABILITY IN A BY-CLAIM RISK MODEL WITH CONSTANT INTEREST RATE

Computational Simulations and Experiments on Vibration Control of a Flexible Two-link Manipulator Using a Piezoelectric Actuator

The Linear Regression Of Weighted Segments

Existence of Nonoscillatory Solutions for a Class of N-order Neutral Differential Systems

COMPLEX NUMBERS AND ELEMENTARY FUNCTIONS OF COMPLEX VARIABLES

Chapter 5 Transient Analysis

Lecture 1: Empirical economic relations

The rise of neural networks. Deep networks. Why many layers? Why many layers? Why many layers? 24/03/2017

IMPUTATION USING REGRESSION ESTIMATORS FOR ESTIMATING POPULATION MEAN IN TWO-PHASE SAMPLING

Extinction risk depends strongly on factors contributing to stochasticity

Numerical Method: Finite difference scheme

Asymptotic Behavior of Finite-Time Ruin Probability in a By-Claim Risk Model with Constant Interest Rate

Quantum Theory of Open Systems Based on Stochastic Differential Equations of Generalized Langevin (non-wiener) Type

Response of LTI Systems to Complex Exponentials

Reliability of time dependent stress-strength system for various distributions

Australian Journal of Basic and Applied Sciences

On the Class of New Better than Used. of Life Distributions

Chapter 4. Continuous Time Markov Chains. Babita Goyal

Mellin Transform Method for the Valuation of the American Power Put Option with Non-Dividend and Dividend Yields

Variable Satellite Usage in GPS Receivers

EE 232 Lightwave Devices. Photodiodes

LECTURE 6 TRANSFORMATION OF RANDOM VARIABLES

(Reference: sections in Silberberg 5 th ed.)

Survival Analysis for Randomized Clinical Trials II Cox Regression. Ziad Taib Biostatistics AstraZeneca February 26, 2008

Chain DOUBLE PITCH TYPE RS TYPE RS POLY-STEEL TYPE

Solution set Stat 471/Spring 06. Homework 2

The Variance-Covariance Matrix

Consider a system of 2 simultaneous first order linear equations

Let's revisit conditional probability, where the event M is expressed in terms of the random variable. P Ax x x = =

innovations shocks white noise

Continous system: differential equations

Fourier Series: main points

9. Simple Rules for Monetary Policy

An N-Component Series Repairable System with Repairman Doing Other Work and Priority in Repair

Delay-Dependent State Estimation for Time Delay Systems

Computing OWA weights as relevance factors

AIAA Robert L. Sierakowski Chief Scientist Air Force Research Laboratory AFRL/MNG 101 W. Eglin BLVD, Ste.105, Eglin AFB, Florida

Frequency Response. Response of an LTI System to Eigenfunction

On the Possible Coding Principles of DNA & I Ching

Numerical Simulation for the 2-D Heat Equation with Derivative Boundary Conditions

NHPP and S-Shaped Models for Testing the Software Failure Process

Lecture Y4: Computational Optics I

Part I- Wave Reflection and Transmission at Normal Incident. Part II- Wave Reflection and Transmission at Oblique Incident

1973 AP Calculus BC: Section I

Total Prime Graph. Abstract: We introduce a new type of labeling known as Total Prime Labeling. Graphs which admit a Total Prime labeling are

t=0 t>0: + vr - i dvc Continuation

Physics 160 Lecture 3. R. Johnson April 6, 2015

UNIT #5 EXPONENTIAL AND LOGARITHMIC FUNCTIONS

Introduction to logistic regression

EMPIRICAL STUDY IN FINITE CORRELATION COEFFICIENT IN TWO PHASE ESTIMATION

THE STOCHASTIC SEASONAL BEHAVIOR OF THE NATURAL GAS PRICE

AR(1) Process. The first-order autoregressive process, AR(1) is. where e t is WN(0, σ 2 )

The Mechanism and Properties of Electron Transfer in the Protein Molecules

Poisson Arrival Process

Part B: Transform Methods. Professor E. Ambikairajah UNSW, Australia

ELEN E4830 Digital Image Processing

Multi-fluid magnetohydrodynamics in the solar atmosphere

Poisson Arrival Process

High temperature thermal properties of alkali activated aluminosilicate materials

signal amplification; design of digital logic; memory circuits

Midterm Exam. Tuesday, September hour, 15 minutes

Binary Choice. Multiple Choice. LPM logit logistic regresion probit. Multinomial Logit

Solution of Impulsive Differential Equations with Boundary Conditions in Terms of Integral Equations

The far field calculation: Approximate and exact solutions. Persa Kyritsi November 10th, 2005 B2-109

State Observer Design

An Exact Solution for the Differential Equation. Governing the Lateral Motion of Thin Plates. Subjected to Lateral and In-Plane Loadings

Advanced Queueing Theory. M/G/1 Queueing Systems

Transcription:

Joural of JSCE, Vol., 3-43, 03 STRUCTURAL FAULT DETECTION OF BRIDGES BASED ON LINEAR SYSTEM PARAMETER AND MTS METHOD Chul-Woo KIM, Ro ISEMOTO, Kuomo SUGIURA 3 ad Msuo KAWATANI 4 Mmbr of JSCE, Profssor, Dp. of Cvl ad Earh Rsourcs Eg., Koo Uvrs (Koo-Dagau-Kasura, Nsho-u, Koo 65-8540, Japa E-mal: m.chulwoo.5u@oo-u.ac.jp Sud Mmbr of JSCE, Dp. of Cvl ad Earh Rsourcs Eg., Koo Uvrs (Koo-Dagau-Kasura, Nsho-u, Koo 65-8540, Japa E-mal: ro.smoo@f8.cs.oo-u.ac.jp 3 Mmbr of JSCE, Profssor, Dp. of Cvl ad Earh Rsourcs Eg., Koo Uvrs (Koo-Dagau-Kasura, Nsho-u, Koo 65-8540, Japa E-mal: sugura.uomo.4@oo-u.ac.jp 4 Fllow of JSCE, Profssor, Dp. of Cvl Eg., Kob Uvrs (-, Rooda, Nada-u, Kob 657-850, Japa E-mal: m-awa@ob-u.ac.jp Ths sud vsgad h fasbl of brdg halh moorg (BHM usg a lar ssm paramr of a m srs modl dfd from raffc-ducd vbrao daa of brdgs, whch daa wr obad hrough a movg-vhcl prm o scald modl brdgs. I ordr o dc possbl aomals brdgs, hs sud adopd a paramr from auorgrssv (AR coffcs. Cosdrao was gv o dagoss of h brdg codo from par chags of dfd ssm paramrs du o damag. Th Mahalaobs-Taguch ssm (MTS was succssfull appld o ma dcsos o h brdg halh codo. Obsrvaos dmosra h fasbl of srucural dagoss of brdgs from h dfd ssm paramr. K Words : brdg halh moorg (BHM, lar ssm modl, Mahalaobs-Taguch ssm (MTS, raffc-ducd vbraos. INTRODUCTION Maag ad mprovg cvl frasrucur, cludg brdg srucurs, ar mpora chcal ssus. Morovr, a ffcv maac srag srogl dpds o ml dcsos o h halh codo of h srucur. I has b hough ha srucural halh moorg (SHM usg vbrao daa s o of h ffcv chologs ha ad dcso mag o brdg maac. Mos prcd suds o SHM spcfcall am h chag modal proprs of srucurs. Th fudamal cocp of hs cholog s ha modal paramrs ar fucos of a srucur s phscal proprs. Thrfor, a chag phscal proprs, such as rducd sffss rsulg from damag, wll chag hs modal proprs -5. A challg for brdg halh moorg (BHM usg vbrao masurms s how o c h brdg coomcall, rlabl ad rapdl. Amb vbraos ducd b raffc ad wd, hus, ar adopd as damc daa for BHM. Howvr, for shor-spa brdgs, whch covr major of brdg srucurs, h wd-ducd vbraos ar usuall oo wa o us h BHM of such brdgs. O h ohr had, raffc-ducd vbraos ar doma for shor-spa brdgs. I s oworh ha h raffc-ducd vbrao of brdgs s a d of osaoar vbrao 6, 7. Dsp h osaoar propr of raffc-ducd vbraos of brdgs, h da bhd usg raffc-ducd vbrao daa of shor-spa brdgs BHM s ha paramrs dfd rpadl udr movg vhcls could provd a par ad gv usful formao o ma a dcso o h brdg codo. 3

Joural of JSCE, Vol., 3-43, 03 Ma suds focus o chags ssm frqucs ad srucural dampg cosas for h srucural dagoss of brdgs b ulzg a lar m srs modl 8-5. Howvr, hr s drawbacs modal paramr basd brdg dagoss usg m srs modls;.g., h opmal m srs modl for vbrao rsposs of brdg srucurs usuall comprss a hghr-ordr rm, ad as a rsul h opmal modl dfs v spurous modal paramrs, whch causs fals ssm frqucs ad dampg cosas 6. Thos fals modal paramrs ma dffcul o choos h propr modal paramrs affcd b srucural damag. A rsg approach ulzg a mcro shar for damag dfcao of a sl russ brdg has also b rpord 7. Howvr, h accurac of h damag dfcao ma var accordg o raffc o h brdg. Th drawbac of h classcal mhod s h drvg forc bhd hs sud. Ths sud cosdrd a alrav paramr from auorgrssv (AR coffcs as a damag-ssv faur for h vbrao-basd BHM bcaus boh ssm frquc ad dampg cosa ar rlad o AR coffcs 6, 8. Th Mahalaobs-Taguch ssm (MTS 9, whch s o of h suprvsd larg schms, was also adopd for mag srucural dagoss of brdgs.. AR MODEL AND DAMAGE INDICATOR Th lar damc ssm ca b dfd usg h AR modl 3, 4 as p ( a ( ( ( whr ( dos h oupu of h ssm, a s h -h ordr AR coffc ad ( dcas h os rm. To sma AR paramrs, h auocorrlao fuco of (, whch s obaabl b mulplg ach rm of Eq. ( wh (- ad ag h mahmacal pcao, s usd. Ths procss lds h followg Yul-Walr quao 3, 4, 0 : Ra r ( whr R s a Toplz mar abou R -s = E[(-s(-], whch s h auocorrlao fuco of h sgal; a= [a ; ;a p ] ad r= [R ; ;R p ]; ad p dcas h AR ordr. Th Lvso-Durb algorhm 0 s adopd o solv Eq. (. I s oworh ha h coffc a p s a pol of h ssm bcaus h z-rasformao of Eq. ( ca b wr as Y ( z H ( z E( z p a z - E( z (3 whr Y(z ad E(z ar z-rasformaos of ( ad (, H(z s h rasfr fuco of h ssm h dscr-m compl doma, ad z - dos h forward shf opraor. Valus of z whch h lms of h rasfr fuco mar show f valus ar h pols. Ths mas ha h domaor of h rasfr fuco s h characrsc quao of h damc ssm, gv as p p p z a z a z a z a 0 (4 p p Th pols o h compl pla ar assocad wh h frquc ad dampg cosa of h damc ssm of srucurs, as follows: z p h j h (5 whr h ad ar h dampg cosa ad crcular frquc, rspcvl, of h -h mod of h ssm, ad j rprss h magar u. Th AR procss wh h modl ordr p Eq. ( ca b prssd h z-pla as alrad gv Eq. (3. Th H(z Eq. (3 s dfd as h AR polomal of h modl rasfr fuco rlag h pu o h oupu. Th pols z of Eq. (3 ar obad b fdg h roos of h AR coffc polomal h domaor of H(z. Sc h valus of h coffc of H(z ar ral, h roos mus b ral or compl cojuga pars. Th umbr of pols h z-pla quals h AR modl ordr. Thrfor z show Eq. (5 ad AR coffcs hav h followg rlaoshps accordg o Va s formula : z a ; z z a ; (6, j Eq. (5 ad Eq. (6 show ha AR coffcs ar drcl assocad wh ssm frqucs ad h dampg cosa. Thrfor h paramr from AR coffcs s adopd as a damag-ssv faur ad dfd as 6 a DI j j ; DI a j (7 a whr a dos h -h AR coffc ad DI j s h damag dcaor ha cosdrs up o h j-h AR coffc. Grall, damag srucurs chags h modal paramrs such as ω ad h Eq. (5, ad as a rsul chags z. Morovr, accordg o Eqs. (5 ad (6, AR coffcs ar affcd b damag, ad srucural damag also chags h DI j valus dfd Eq. (7. j 33

Joural of JSCE, Vol., 3-43, 03 Fg. Eprmal sup. Fg. Cocp of damag scaro o lf flag. Fg. 3 Phoo of damag scaro D3. Aohr wa o pla h rlaoshp bw AR coffc, crcular frquc ad dampg cosa s dpcd Appd A. 3. LABORATORY MOVING-VEHICLE EXPERIMENT OF MODEL BRIDGE ( Modl brdg A laboraor movg-vhcl prm was prformd o vrf h vald of h proposd approach. Th prmal sup s show Fg.. Th prmal sup comprsd hr smpl bams rprsg h acclrag bam, obsrvao bam ad dclrag bam. Th aural frquc of h brdg was cosdrd as a facor h scalg of h brdg modl. Th brdg modld a sgl-spa brdg wh a spa of 40.4m ad a frs aural frquc of.35hz. Scal roadwa profls wr pavd o boh of h lf ad rgh whl pahs of h vhcl wh a lcrcal ap a h rval of 00mm, as show Fg.. Th hcss of h ap was 0.mm. Th roadwa profl was fac a from h sgl-spa brdg, wh bumps addd o ralz a roughr lvl of road profl. Ths sud cosdrd hr ds of damag: h lowr pars of boh flags bw 3L/8 ad L/ of h modl brdg, a dph of 5mm, wr rmovd for damag scaro D; for damag scaro D, a addoal 5mm cu was appld o h damagd pla of h D scaro ad rmovd; ad for damag scaro D3, aohr 5mm cu was appld o h pla damagd b damag scaro D ad was also rmovd. Th cocp ad phoo of h damag ar show Fg. ad Fg. 3. Th bdg rgd of h modl brdg dcrasd o aroud 34

Joural of JSCE, Vol., 3-43, 03 Fg. 4 Acclrao ad Fourr spcra obsrvd a Po I: a Iac; b D; c D; d D3 (SCN, vhcl V a 0.93m/s. Th frs aural frqucs smad from fr vbraos wr.66hz for h ac brdg,.6hz for damag scaro D,.57Hz for damag scaro D ad.5hz for damag scaro D3. Th hrd aural frqucs wr 3.8Hz for h ac brdg, 3.3Hz for D, 3.0Hz for D ad.6hz for D3. I should b od ha, hs fasbl sud, h focus s o vrfg h fasbl of h prs approach. Thrfor, h arfcal damag ps wr o dd o prfcl smula ral damag, bu o ma h brdgs srv as damagd sampls comparso o ac os, rms of bdg rgd rduco. Fg. 5 Road profl ad wavl rasform of acclrao rspos obsrvd a po I of ac brdg udr SCN. Tabl Scaros of laboraor movg-vhcl s. Scaro Vhcl p Spd SCN S=0.93m/s SCN V (M=.6g, f=.93hz S=.6m/s SCN 3 S3=.63m/s SCN 4 S=0.93m/s SCN 5 V (M=.6g, f=3.76hz S=.6m/s SCN 6 S3=.63m/s SCN 7 S=0.93m/s SCN 8 V3 (M=5.8g, f=3.03hz S=.6m/s SCN 9 S3=.63m/s 94% of h ac sa du o damag scaro D. For damag scaro D, h bdg rgd dcrasd o aroud 80% of h ac sa. Damag scaro D3 ld o a dcras h bdg rgd o aroud 65% of h ac sa. ( Modl vhcl Naural frquc ad spd paramr 3 ar cosdrd as facors h scalg of h vhcl modl. Th vhcl modl ca b adjusd o oba dffr damc proprs; h sprg sffss of h als ca b vard b chagg h sprgs whl h bod mass ca b vard usg sl plas. Thr vhcls V, V ad V3 wr cosdrd h prm. Naural frqucs for h bouc moo of h vhcl modls wr.93hz, 3.76Hz ad 3.03Hz rspcvl. Ths frqucs ar clos o 3Hz, whch s h frquc of h bouc moo of acual dump rucs. Thr dffr spds of 0.93m/s (hrafr, S,.6m/s (hrafr, S ad.63m/s (hrafr, S3 wr adopd o vsga h ffc of h vhcl spd o h paramr dfcao. N scaros of h laboraor prm wr cosdrd as show Tabl. Assumg a ral brdg whos frs aural frquc was.35hz ad spa lgh was 40.4m, h spds of h modl vhcls, S, S 35

Joural of JSCE, Vol., 3-43, 03 ad S3, corrspodd o.m/h, 7.6m/h ad 38.8m/h rspcvl accordg o h odmsoal spd paramr 3 of Eq. (8: v a (8 fbl whr L dcas h spa lgh (m; f b, h frs aural frquc of h brdg (Hz; ad v, vhcl spd (m/s. Th dmsolss paramr s mpora for h scalg of h prmal modl as s usd o maa a rlaoshp bw vhcl spd ad frquc ad spa lgh of h 5.4m bam, a rlaoshp smlar o ha for a 40.4m brdg subjc o ral raffc. Thr pos a /4, / ad 3/4 of h spa lgh wr obsrvao pos for acclrao rsposs as show Fg.. Th samplg ra was 00Hz. Eampl acclrao rsposs of h modl brdg bfor ad afr applg damag ar show Fg. 4 wh Fourr amplud spcra. Th doma frquc ar 3Hz, whch was assocad wh h hrd bdg mod of h modl brdg, was cd wh a vhcl al h o of h bumps o h road profl. Th road profl ad wavl rasform of acclrao rspos obsrvd a po I of h ac brdg udr scaro (SCN ar show Fg. 5, whch dmosras h doma frquc ar 3Hz wh a vhcl passs ovr h bumps. Th AIC cosss of wo rms. Th frs rm s a log-llhood fuco ad h scod rm s a pal fuco for h umbr of h AR ordr. Fg. 6 shows h AIC vrsus h AR ordr. A rsg obsrvao s ha, as show Fg. 6, h AIC valu a h opmal AR ordr was chagd apparl du o damag. Alhough ds furhr comprhsv vsgao, hr s a possbl ha h AIC could b ulzd as a damag-ssv faur. ( Ssv aalss Cosdrg radom vbraos such as raffc-ducd vbraos of brdg, s o as o dcd whch ordr of AR coffc s h mos ffcv o g a ssv DI j du o damag. Thrfor a ssv aalss was prformd o dcd h mos ssv DI j du o srucural damag 6. Afr sg svral dffr combaos wh h AR coffcs, was foud ha h frs AR coffc ormalzd b h squar roo of h sum of h squars of h frs hr AR coffcs gvs h mos ssv DI j du o damag, as show Fg. 7. Fg. 7 shows h avrag rsduals of DI j bw ac ad damagd brdgs wh rspc o j. Th avrag rsduals wr smad usg 35 obsrvaos from combaos of 9 scaros, 5 prms ad 3 obsrvao pos (9 5 3=35. 4. STRUCTURAL DIAGNOSIS USING DAMAGE INDICATOR Ths sco focuss o dagoss of brdgs usg DI j dfd Eq. (7, whch was a from AR coffcs. Th opmal ordr of h AR modl of ach prm was slcd b mas of h Aa Iformao Crro (AIC 4, show Eq. (9: AIC N log( ˆ M ( M N (9 whr N dcas h umbr of daa; M, AR ordr; ad, ma squar of M h prdco rror. ˆ M Fg. 6 AIC w.r.. h modl ordr (p=: opmal AR ordr. a b c Fg. 7 Avrag rsduals of DI valus from 35 obsrvaos w.r.. o h ordr of AR coffcs domaor of Eq. (7: a Iac vs. D; b Iac vs. D; c Iac vs. D3. 36

Joural of JSCE, Vol., 3-43, 03 S S S3 a Po I b Po II c Po III Fg. 8 Varao DI accordg o dffr pars, spds ad obsrvao pos. Th dffrc DI valus bw ac ad damagd brdgs as a pa wh j as 3, as show Fg. 7. Thrfor hs sud adopd DI 3 as h damag-ssv faur. ( Damag dcaor accordg o svr of damag Ths sud amd h chag DI 3 accordg o damag, obsrvao pos ad vhcl spds as show Fg. 8. Th obsrvd DI 3 valus a po I ad po III udr all vhcl spds wr chagd du o damag. O h ohr had, for h DI 3 obsrvd a po II, a rlavl clar par chag DI 3 du o damag was obsrvd udr vhcl spds S ad S3 comparso wh h DI 3 udr h vhcl spd S. 5. FAULT DETECTION BY MTS METHOD MTS s a par formao cholog, whch s usd dagosc applcaos o ma quaav dcsos b cosrucg a mulvara masurm scal calld Mahalaobs dsac 9 (hrafr MD. Th cocp of MD s show Fg. 9. Th ma objc of h MTS mhod s o ma accura prdcos of MD from uow daa b comparg wh MD obad from ow daa. Thrfor, hs sud, h MTS mhod was adopd for srucural faul dco of brdgs. Th MTS mhod s summarzd as follows. Th u spac, also calld rfrc spac, s obaabl from ow daa, as show Tabl. I Tabl, h colums dca varabls ad h rows, obsrvaos. Th ma valu ad sadard dvao of ach varabl ar appld ordr o ormalz h ow daa as X p p (0 whr dcas h umbr of valuad ms, ad p dcas h umbr of obsrvaos. ad ar dfabl b Eq.(: p p, p ( p Th corrlao coffc mar R MD s obaabl from ormalzd daa as show Eq. (. r r r r R ( MD r r whr h corrlao coffc s dfd as follows: 37

Joural of JSCE, Vol., 3-43, 03 r j p p X p X pj (3 X p p Th vrs mar of R MD s dfd as show Eq. (4: - A R MD (4 Obsrvao Obsrvao X pj Tabl U spac (ow daa. Evaluao m ( p Tabl 3 Sgal spac (uow daa. Evaluao m ( p Fg. 9 Cocp of Mahalaobs dsac (MD. Fg. 0 Schm of cross-valdao. Th MD of h ormalzd ow daa h u spac ca b smad from Eq. (4 usg mar A ad ormalzd ow daa: X p MD p X p X p A (5 X p N, h sgal spac s obad from uow daa as show Tabl 3. Uow daa ar ormalzd b ulzg ad, whch ar h ma valu ad sadard dvao of ow daa dscrbd Eq. ( rspcvl: Y p p (6 Th MD of h ormalzd uow daa h sgal spac MD p s dfabl b Eq. (7 from h ormalzd uow daa ad A, whch s obad from ow daa: Yp MD p Y p Yp A (7 Y p Th rqurd codos o ulz MTS ar as follows 9 : a h umbr of valuao ms of ow daa s quval o ha of uow daa; b h umbr of obsrvao daa s largr ha ha of valuao m ; ad c h sadard dvao of ow daa σ s o zro. ( Cross-valdao Cross-valdao was adopd o dcd o a hrshold of h obsrvd paramrs ad o df fauls brdgs. A schm of h cross-valdao s show Fg. 0. A frs, - daa h u spac ar slcd from ow daa ad o ow daa m whch s o slcd as ow daa s assumd o b uow. N, b usg h - ow daa, h MD for h assumd uow s smad b mas of h MTS mhod. Th, aohr daa m s slcd ad assumd o b uow, ad cross-valdao s prformd. Ths sps for cross-valdao ar rpad ms, ad fall MDs h sgal spac ar obad. I hs sud, h largs ad smalls valus of MD a from h cross-valdao wr rmovd, ad h rmmd ma valu was adopd as h hrshold usg (- MD dsacs o rduc h ffc of oulrs o h MDs. ( Faul dco Th MTS mhod was appld for srucural faul dco usg DI 3. Thr valuao ms wr usd: DI 3 obad from obsrvao po I; 38

Joural of JSCE, Vol., 3-43, 03 DI 3 obad from obsrvao po II; ad 3 DI 3 obad from obsrvao po III. Th oal umbr of obsrvaos was 5. Rsuls of MTS accordg o vhcl spds ar show Fg., whr h horzoal rd l dcas h hrshold, ad prcags do h probabl of MDs crossg h hrshold. I hs sud, boh prcag ad h ma valu of MDs crossg h hrshold wr cosdrd. Th prcag ad ma valu of MDs crossg h hrshold ar show Tabl 4 ad Tabl 5 rspcvl. I cosdrg h prcag of h MD crossg h hrshold summarzd Tabl 4 ad Fg. (b for D udr vhcl spd S, s hard o rad a clar par chag h MD du o h damag bcaus h prcag of D s smallr ha ha of h cross-valdao. O h ohr had, h MD of D udr vhcl spds S ad S3 (s Fg. a, Fg. c ad Tabl 4 shows appar chags DI 3 du o damag as h prcag s grar ha ha of h cross-valdao. For D ad D3 udr all vhcl spds, bcoms as o dc a faul sc all MDs cd h hrshold. I cosdrg h ma valu of h MDs crossg h hrshold summarzd Tabl 5, h ma valu of D udr vhcl spd S s grar ha ha of h cross-valdao v hough h prcag of crossg h hrshold s lowr ha ha of h cross-valdao as prvousl mod. For D udr vhcl spd S, o h ohr had, h ma valu s smallr ha ha of h cross-valdao v hough h prcag of crossg h hrshold s hghr ha ha of h cross-valdao, as plad Tabl 4. Th obsrvaos dmosra ha damag ca b dcd b h proposd mhod: boh prcag ad ma valu of MDs crossg h hrshold ar ulzd o ma a dcso o h halh codo of brdgs. For svr damag (D ad D3, cosdrg h prcag of MDs crossg h hrshold would b usful for dcso mag. O h ohr had, for lgh damag (D, cosdrg boh prcag ad ma valu of h MDs crossg h hrshold would b usful. Th Mahalaobs dsacs of ssm frqucs ad dampg cosas dfd b mas of h AR modl 4, 6 ar summarzd Appd B for formao. Sc, applg MTS, h umbr of valuao ms has o b ufd across all obsrvaos, frqucs ad dampg cosas hav o b dfd a all hr obsrvao pos whou fal. Howvr, h wr o alwas dfd a vr obsrvao m b mas of h AR modl. Th umbr of smad MDs was, hus, dffr ach brdg codo (Iac, D, D ad D3. Ths plas wh h hrshold could o b drmd Fgs. Bc ad Bc: followg sco 5(, h umbr of obsrvaos cross-valdao bcoms 3, whl ha umbr for h ac cas s 4, whch volas h rqurd codo o ulz h MTS. a b c Fg. Mahalaobs dsac of DI wh hrshold: a S; b S; c S3. Tabl 4 Prcag of MD crossg h hrshold. S S S3 Iac 7% 7% 7% Cross-valdao 33% 47% 47% D 53% 40% 80% D 00% 00% 00% D3 00% 00% 00% Tabl 5 Ma valu of MD crossg h hrshold. S S S3 Iac.03.79.89 Cross-valdao 3.54.60.88 D.36 4.7 3.3 D 6.37 6.97 9.54 D3 6.6.70 3.65 39

Joural of JSCE, Vol., 3-43, 03 I s oworh ha hr s o formao abou h probabl of cdg h hrshold Fg. Bc ad Fg. Bc bcaus of h falur o dcd h hrshold. Th MDs of h dfd ssm frqucs ad dampg cosas dmosra ha h frqucs ad dampg cosas for h frs mod ar ssv o damag (s Fgs. B ad B compard o hos for h hrd mod (s Fgs. B3 ad B4. A oworh po s ha h probabl of succssfull dcg damag dpds o h vhcl spd v h cas of h hrd mod: h oal umbr of succssfull dfd frqucs ad dampg cosas for h hrd bdg mod of damag scaro D3 udr vhcl spd S3 (.63m/s was lss ha h umbr for ohr scaros, whch lads o a smallr umbr of smad MDs for damag scaro D3 apparg Fg. B3c ad Fg. B4c. Obsrvaos from frqucs ad dampg cosas dmosra ha h classcal modal paramrs basd faul dco rqurs dcdg damag-ssv faurs whch should b cosdrd halh moorg, such as mod, frquc ad dampg cosa. I comparso, ulzg DI 3 lads o succssful faul dco. Thrfor h approach combg DI ad MTS mhods provds a ffcv wa of moorg h halh codo of brdgs. 6. CONCLUSIONS Ths papr vsgad h fasbl of srucural faul dco usg raffc-ducd vbrao masurms o a modl brdg hrough a laboraor prm. Ths sud cosdrd h damag dcaor (DI obad from AR coffcs as a damag-ssv faur. Th MTS mhod was appld o suppor dcso mag o brdg halh codos. Th summarzd rsuls ar as follows: AR coffcs ar drcl assocad wh damc characrscs of h srucural ssm. Accordg o h ssv aalss, cosdrg AR coffcs up o h hrd ordr ld o h mos ssv DI for srucural damag h modl brdg cosdrd hs sud. 3 Th DI j would provd a ffcv wa of moorg halh codos of shor-spa brdgs. 4 Th MTS mhod succssfull dcd aomals h modl brdg. 5 Th proposd mhod succssfull dcd svr damag. For lgh damag, howvr, cosdrg boh probabl ad ma valus of h MD crossg h hrshold would b usful mag a dcso o h halh codo of brdgs. 6 I mag a dcso for brdgs halh codo usg h proposd approach, a hghr vhcl spd lads o a br rsul. Ths ma b bcaus h fasr h spd, h bggr h damc rspos, gral, of a brdg, ad bggr rsposs of brdgs could provd mor formao abou brdg codos ha smallr rsposs. Howvr, hs also ds furhr vsgao. 7 As a rsg obsrvao, h AIC could b ulzd as a damag-ssv faur. Th sp for hs sud s o vsga h fasbl of h proposd approach for ral-world applcaos. Th auhors ar ow cosdrg, as a ral-world applcao, faul dco of a ral sl russ brdg b applg arfcal damag. Aohr problm rmag o b solvd s how o dcd h opmal obsrvao pos ad valuao ms, whch ds furhr vsgao. ACKNOWLEDGEMENT: Ths sud s parl sposord b JSPS, Gra--Ad for Scfc Rsarch (B udr projc No. 436078. Such facal ads ar grafull acowldgd. APPENDIX A Damc quaos of moo for a ssm ca b wr as Eq. (A ad Eq. (A: m c ( c c ( c ( 0 (A ( h0 ( 0 ( 0 (A whr h dos h dampg cosa of h ssm, ad ω 0 s crcular frquc. A gral soluo s ( G s( (A3 0 h (A4 0 h (A5 whr G s a uow cosa ad dcas a uow phas agl. Th m hsor of a damc ssm show Eq. (A ca b modld b h AR procss as a a a (A6 m Usg Eq. (A3, h damc rspos ca b rwr as G s( (A7 G G s{ ( } {s( s( } (A8 40

To smplf h problm, w cosdr h AR procss up o h scod ordr: } s( {s( G (A9 s( ( s s( G } s( {s( G (A0 From Eq. (A7, w oba h followg: s( G (A B subsug Eq. (A o Eq. (A9, w ca oba h followg quao: s( s( (A Subsug Eq. (A o Eq. (A0 gvs s( s( ( s ( s ( cos ( s (A3 (A4 Eq. (A4 ca b rwr gral formao as (A5 Comparg Eq. (A5 wh Eq. (A6 of up o h d ordr, a, a (A6 From Eq. (A6, w ca oba followg rlaoshp: a l( (A7 cos a a (A8 Ths also shows ha AR coffcs ar drcl assocad wh damc characrscs of ssms. APPENDIX B a b c Fg. B Mahalaobs dsac of frquc of frs bdg mod wh hrshold: a S; b S; c S3. a b c Fg. B Mahalaobs dsac of dampg cosa of frs bdg mod wh hrshold: a S; b S; c S3. Iac D D D3 Po II Frquc (Hz Iac D D D3 Po II Frquc (Hz Joural of JSCE, Vol., 3-43, 03 4

Joural of JSCE, Vol., 3-43, 03 a b c Fg. B3 Mahalaobs dsac of frquc of hrd bdg mod wh hrshold: a S; b S; c S3. a b c Fg. B4 Mahalaobs dsac of dampg cosa of hrd bdg mod wh hrshold: a S; b S; c S3. REFERENCES Doblg, S. W., Farrar, C. R., Prm, M. B. ad Shvz, D. W.: Damag dfcao ad halh moorg of srucural ad mchacal ssms from chags hr vbrao characrscs: A lraur rvw, Los Alamos Naoal Laboraor Rpor LA-3070-MS, 996. Prs, B. ad D Roc, G.: O-ar moorg of h Z4-Brdg: vromal ffcs vrsus damag vs, Earhqua Egrg ad Srucural Damcs, Vol. 30, No., 00. 3 Dramar, A., Rbdrs, E., D Roc, G. ad Kullaa, J.: Vbrao-basd srucural halh moorg usg oupu-ol masurms udr chagg vrom, Mchacal Ssms ad Sgal Procssg, Vol., No., pp. 34-56, 007. 4 Zhag, Q. W.: Sascal damag dfcao for brdgs usg amb vbrao daa, Compurs ad Srucurs, Vol. 85, No. 7-8, pp. 476-485, 007. 5 Dla, M. ad Morass, A.: Damc sg of damagd brdg, Mchacal Ssms ad Sgal Procssg, Vol. 5, pp. 485-507, 0. 6 Km, C. W., Kawaa, M. ad Km, K. B.: Thr-dmsoal damc aalss for brdg-vhcl raco wh roadwa roughss, Compurs ad Srucurs, Vol. 83, No. 9-0, pp. 67-645, 005. 7 Km, C. W. ad Kawaa, M.: Psudo-sac approach for damag dfcao of brdgs basd o couplg vbrao wh a movg vhcl, Srucur ad Ifrasrucur Egrg, Vol. 4, No. 5, pp. 37-379, 008. 8 Grsch, W., Nls, N. N. ad Aa, H.: Mamum llhood smao of srucural paramrs from radom vbrao daa, J. of Soud ad Vbrao, Vol. 3, No. 3, pp. 95-308, 973. 9 Shozua, M., Yu, C. B. ad Ima, H.: Idfcao of lar srucural damc ssms, J. Egg. Mch. Dv., ASCE, Vol. 08, No. 6, pp. 37-390, 98. 0 Hosha, M. ad Sao, E.: Srucural dfcao b dd Kalma flr, J. Egg. Mch., ASCE, Vol. 0, No., pp. 757-770, 984. Wag, Z. ad Fag, T.: A m-doma mhod for dfg modl paramrs, J. of Appl. Mch., ASME, Vol. 53, No. 3, pp. 8-3, 986. H, X. ad D Roc, G.: Ssm dfcao of mchacal srucurs b a hgh-ordr mulvara auorgrssv modl, Compurs ad Srucurs, Vol. 64, No. -4, pp. 34-35, 997. 3 Oabaash, T., Oumasu, T. ad Naama, Y.: Eprmal sud o srucural damag dco usg h hgh accura srucural vbrao-smao ssm, J. of Srucural Egrg, JSCE, Vol. 5A, pp. 479-490, 005 ( Japas. 4 Km, C. W., Kawaa, M. ad Hao, J.: Modl paramr dfcao of shor spa brdgs udr a movg vhcl b mas of mulvara AR modl, Srucur ad Ifrasrucur Egrg, Vol. 8, No. 5, pp. 459-47, 0. 5 Yoshoa, T., Iou, S., Yamaguch, H. ad Masumoo, Y.: Srucural halh moorg of russ brdgs basd o dampg chag dagoal mmbr-coupld mod, J. of JSCE, Srs A, Vol. 66, pp. 56-534, 00 ( Japas. 6 Km, C. W., Ismoo, R., Kawaa, M. ad Sugura, K.: Srucural dagoss of brdg usg oupu-ol vbrao movg vhcl laboraor prm, J. of Appld Mchacs, JSCE, Vol. 67, No., pp. I_833-I_84, 0 ( Japas. 7 Furuawa, A., Osua, H. ad Umbaash, F.: Damag dfcao of sl russ brdg b vbrao sg usg mcro shar, J. of Appld Mchacs, JSCE, Vol. 9, pp. 03-0, 006 ( Japas. 8 Nar, K. K., Krmdja, A. S. ad Law, K. H.: Tm srs-basd damag dco ad localzao algorhm wh applcao o h ASCE bchmar srucur, J. of Soud ad Vbrao, Vol. 9, No. -, pp. 349-368, 006. 9 Taguch, G. ad Jugulum, R.: Nw rds mulvara dagoss, Ida Joural of Sascs, Vol. 6, Srs B, pp. 33-48, 000. 0 Ljug, L.: Ssm Idfcao-Thor for h Usr, d d, PTR Prc Hall, Uppr Saddl Rvr, M.J, 999. 4

Joural of JSCE, Vol., 3-43, 03 Bold, B.: Famous Problms of Gomr ad How o Solv Thm, Nw Yor, Dovr, p.56, 98. Kawaa, M., Nshama, S. ad Yamada, Y.: Damc rspos aalss of hghwa grdr brdg udr movg vhcls, Tcholog Rpors of h Osaa Uvrs, Vol. 43, No. 37, pp.09-8, 993. 3 Yag, Y. B., Lao, S. S. ad Lm, B. H.: Impac formulas for vhcls movg ovr smpl ad couous bams, J. of Sruc. Eg., ASCE, Vol., No., pp. 644-650, 995. 4 Bshop, C. M.: Par Rcogo ad Mach Larg, pp. 3-33, Sprgr, 006. (Rcvd Ocobr, 0 43