Probabilistic damage identification of a designed 9-story building using modal data in the presence of modeling errors

被引:47
作者
Behmanesh, Iman [1 ]
Moaveni, Babak [2 ]
Papadimitriou, Costas [3 ]
机构
[1] WSP Parsons Brinckerhoff, Dept Bldg Struct, New York, NY USA
[2] Tufts Univ, Dept Civil & Environm Engn, Medford, MA 02155 USA
[3] Univ Thessaly, Dept Mech Engn, Volos, Greece
基金
美国国家科学基金会;
关键词
Probabilistic damage identification; Modeling error; Bayesian FE model updating; Bayesian model class selection; STRUCTURAL IDENTIFICATION; UNCERTAINTY; BRIDGE; SELECTION;
D O I
10.1016/j.engstruct.2016.10.033
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Validity and accuracy of model based identification techniques such as linear finite element (FE) model updating are sensitive to modeling errors. Models used for the design and performance assessment of civil structures often contain large modeling errors for certain frequency ranges of response. In other words, modeling errors have unequal effects on different vibration modes of structures. Therefore, the performance of FE model updating for damage identification is sensitive to the type and the subset of data used and to the residual weight factors. This study proposes a process to mitigate the effects of modeling errors by selecting the optimal subset of modes and the optimal modal residual weights. Multiple model updating classes are defined based on different subsets of modes and different weight factors. Structural damage is then identified using Bayesian model class selection and model averaging techniques over the results of all the considered model updating classes. In addition, a new likelihood function is defined to allow damage identification without the need for calibrating a reference FE model. Performance of the proposed damage identification process and the new likelihood function is evaluated numerically at multiple levels of modeling errors and structural damage on the SAC 9-story steel moment frame. It is shown that the structural damages can be identified with negligible bias when the proposed likelihood and updating process is implemented. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:542 / 552
页数:11
相关论文
共 56 条
  • [11] Vibration-based monitoring of civil infrastructure: Challenges and successes
    Brownjohn J.M.W.
    de Stefano A.
    Xu Y.-L.
    Wenzel H.
    Aktan A.E.
    [J]. Journal of Civil Structural Health Monitoring, 2011, 1 (3-4) : 79 - 95
  • [12] Vibration based condition monitoring: A review
    Carden, EP
    Fanning, P
    [J]. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2004, 3 (04): : 355 - 377
  • [13] Calculation of Posterior Probabilities for Bayesian Model Class Assessment and Averaging from Posterior Samples Based on Dynamic System Data
    Cheung, Sai Hung
    Beck, James L.
    [J]. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2010, 25 (05) : 304 - 321
  • [14] Bayesian analysis of the Phase II IASC-ASCE structural health monitoring experimental benchmark data
    Ching, J
    Beck, JL
    [J]. JOURNAL OF ENGINEERING MECHANICS-ASCE, 2004, 130 (10): : 1233 - 1244
  • [15] Structural identification based on optimally weighted modal residuals
    Christodoulou, Konstantinos
    Papadimitriou, Costas
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2007, 21 (01) : 4 - 23
  • [16] Structural model updating and prediction variability using Pareto optimal models
    Christodoulou, Konstantinos
    Ntotsios, Evaggelos
    Papadimitriou, Costar
    Panetsos, Panagiods
    [J]. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2008, 198 (01) : 138 - 149
  • [17] Doebling C.R. F. S. W., 1996, Damage Identification and Health Monitoring of Structural and Mechanical Systems from Changes in Their Vibration Characteristics: A Literature Review
  • [18] UPDATING FINITE-ELEMENT DYNAMIC-MODELS USING AN ELEMENT-BY-ELEMENT SENSITIVITY METHODOLOGY
    FARHAT, C
    HEMEZ, FM
    [J]. AIAA JOURNAL, 1993, 31 (09) : 1702 - 1711
  • [19] Friswell M.I., 1995, Finite Element Model Updating in Structural Dynamics.
  • [20] Damage detection accommodating varying environmental conditions
    Giraldo, DF
    Dyke, SJ
    Caicedo, JM
    [J]. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2006, 5 (02): : 155 - 172