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    A New Model Updating Procedure for Reliability-based Damage and Load Identification of Railway Bridges

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    https://www.riss.kr/link?id=A106586518

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    In the current work, a new reliability-based method is presented for damage and load identification of railway bridge structures using finite element model updating in the presence of uncertainty. The bridge structure is modelled as an Euler-Bernoulli beam and the train is modelled as a series of axles in the form of sprung-mass with an unknown weight. Since the bridge-vehicle system is time-variant, the finite element model updating procedure is used as a response-based method. The effect of model and measurement uncertainties on identificationresults is investigated. The efficiency of the reliability-based method is compared with the deterministic and traditional probabilistic methods. In addition, the effect of critical parameters such as damping, speed and mass ratio on the accuracy of the proposed method is also discussed. It is observed in numerical models that the reliability-based method is the most accurate method for simultaneous identification of railway bridges in the presence of uncertainty. In addition to the damage index (DI), which indicates the location and the extent of damaged elements, the proposed method provides the probability and reliability of identified damages (RI) as well as the extent of unknown moving loads accurately.
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    In the current work, a new reliability-based method is presented for damage and load identification of railway bridge structures using finite element model updating in the presence of uncertainty. The bridge structure is modelled as an Euler-Bernoulli...

    In the current work, a new reliability-based method is presented for damage and load identification of railway bridge structures using finite element model updating in the presence of uncertainty. The bridge structure is modelled as an Euler-Bernoulli beam and the train is modelled as a series of axles in the form of sprung-mass with an unknown weight. Since the bridge-vehicle system is time-variant, the finite element model updating procedure is used as a response-based method. The effect of model and measurement uncertainties on identificationresults is investigated. The efficiency of the reliability-based method is compared with the deterministic and traditional probabilistic methods. In addition, the effect of critical parameters such as damping, speed and mass ratio on the accuracy of the proposed method is also discussed. It is observed in numerical models that the reliability-based method is the most accurate method for simultaneous identification of railway bridges in the presence of uncertainty. In addition to the damage index (DI), which indicates the location and the extent of damaged elements, the proposed method provides the probability and reliability of identified damages (RI) as well as the extent of unknown moving loads accurately.

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    참고문헌 (Reference)

    1 Sohn H, "Structural health monitoring of welded connections" 2001

    2 Yu S, "Structural health monitoring and model updating of Aizhai suspension bridge" 30 (30): B4016009-, 2016

    3 Xu YL, "Stochastic damage detection method for building structures with parametric uncertainties" 330 (330): 4725-4737, 2011

    4 Mao L, "Statistical damage identification method based on dynamic response sensitivity" 2018

    5 Zhang Q, "Simultaneous identification of moving vehicles and bridge damages considering road rough surface" 2013 : 1-12, 2013

    6 Feng D, "Simultaneous identification of bridge structural parameters and vehicle loads" 157 : 76-88, 2015

    7 Choi SK, "Reliability-based structural design" Springer Science & Business Media 2006

    8 Law SS, "Moving force identification : A time-domain method" 201 (201): 1-22, 1997

    9 Law SS, "Moving force identification : A frequency and time-domains analysis" 121 (121): 394-401, 1999

    10 Feng D, "Model updating of railway bridge using in situ dynamic displacement measurement under trainloads" 20 (20): 04015019-, 2015

    1 Sohn H, "Structural health monitoring of welded connections" 2001

    2 Yu S, "Structural health monitoring and model updating of Aizhai suspension bridge" 30 (30): B4016009-, 2016

    3 Xu YL, "Stochastic damage detection method for building structures with parametric uncertainties" 330 (330): 4725-4737, 2011

    4 Mao L, "Statistical damage identification method based on dynamic response sensitivity" 2018

    5 Zhang Q, "Simultaneous identification of moving vehicles and bridge damages considering road rough surface" 2013 : 1-12, 2013

    6 Feng D, "Simultaneous identification of bridge structural parameters and vehicle loads" 157 : 76-88, 2015

    7 Choi SK, "Reliability-based structural design" Springer Science & Business Media 2006

    8 Law SS, "Moving force identification : A time-domain method" 201 (201): 1-22, 1997

    9 Law SS, "Moving force identification : A frequency and time-domains analysis" 121 (121): 394-401, 1999

    10 Feng D, "Model updating of railway bridge using in situ dynamic displacement measurement under trainloads" 20 (20): 04015019-, 2015

    11 Schommer S, "Model updating for structural health monitoring using static and dynamic measurements" 199 : 2146-2153, 2017

    12 Guo-jin Tan, "Free vibration analysis of continuous bridge under the vehicles" 국제구조공학회 61 (61): 335-345, 2017

    13 Lu ZR, "Features of dynamic response sensitivity and its application in damage detection" 303 (303): 305-329, 2007

    14 Cavalagli N, "Earthquake-induced damage detection in a monumental masonry bell-tower using long-term dynamic monitoring data" 22 : 96-119, 2018

    15 Chopra AK, "Dynamics of structures: Theory and applications to earthquake engineering" Prentice-Hall 2012

    16 Fryba L, "Dynamics of railway bridges" Thomas Telford Publishing 1996

    17 Qin S, "Dynamic model updating for bridge structures using the kriging model and PSO algorithm ensemble with higher vibration modes" 18 (18): 1879-, 2018

    18 Di Mu, "Dynamic Responses of a Continuous Beam Railway Bridge under Moving High Speed Train with Random Track Irregularity" 한국강구조학회 14 (14): 797-810, 2014

    19 Dos Santos JA, "Development of a numerical model for the damage identification on composite plate structures" 48 (48): 59-65, 2000

    20 Simoen E, "Dealing with uncertainty in model updating for damage assessment : A review" 56 : 123-149, 2015

    21 Bicanic N, "Damage identification in framed structures using natural frequencies" 40 (40): 4451-4468, 1997

    22 Doebling SW, "Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review. LA-13070-MS"

    23 Yalan Xu, "Damage detection using finite element model updating with an improved optimization algorithm" 국제구조공학회 19 (19): 191-208, 2015

    24 Choi HG, "Comparison of methods for parameter selection in Tikhonov regularization with application to inverse force determination" 304 (304): 894-917, 2007

    25 García-Macías E, "An innovative methodology for online surrogate-based model updating of historic buildings using monitoring data" 2019

    26 Song M, "An application of finite element model updating for damage assessment of a two-story reinforced concrete building and comparison with lidar" 17 (17): 1129-1150, 2018

    27 Li XY, "Adaptive tikhonov regularization for damage detection based on nonlinear model updating" 24 (24): 1646-1664, 2010

    28 Lei Y, "A probabilistic damage identification approachfor structures under unknown excitation and with measurement uncertainties" 2013 : 1-7, 2013

    29 Zhang K, "A probabilistic damage identification approach for structures with uncertainties under unknown input" 25 (25): 1126-1145, 2011

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    학술지 이력

    학술지 이력
    연월일 이력구분 이력상세 등재구분
    2023 평가 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
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    2005-05-27 학술지명변경 한글명 : 대한토목학회 영문논문집 -> KSCE Journal of Civil Engineering KCI등재
    2005-01-01 등재 등재학술지 선정 (등재후보2차) KCI등재
    2004-01-01 등재 등재후보 1차 PASS (등재후보1차) KCI등재후보
    2002-01-01 등재 등재후보학술지 선정 (신규평가) KCI등재후보
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    기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
    2016 0.59 0.12 0.49
    KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
    0.42 0.39 0.286 0.06
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