A finite-element based damage detection technique for nonlinear reinforced concrete structures

Summary Civil engineering structures, such as reinforced concrete frames, exhibit nonlinear behavior when subject to dynamic loads, such as earthquakes. The ability to detect damages in structures after a major earthquake will ensure their reliability and safety. Innovative analysis techniques for d...

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Published inStructural control and health monitoring Vol. 22; no. 10; pp. 1223 - 1239
Main Authors Wu, Ai-Lun, Yang, Jann N., Loh, Chin-Hsiung
Format Journal Article
LanguageEnglish
Published Pavia Blackwell Publishing Ltd 01.10.2015
John Wiley & Sons, Inc
Subjects
Online AccessGet full text
ISSN1545-2255
1545-2263
DOI10.1002/stc.1736

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Abstract Summary Civil engineering structures, such as reinforced concrete frames, exhibit nonlinear behavior when subject to dynamic loads, such as earthquakes. The ability to detect damages in structures after a major earthquake will ensure their reliability and safety. Innovative analysis techniques for damage detection of structures have been extensively studied recently. However, practical and effective local damage identification techniques remain to be developed for nonlinear structures, in particular hysteretic reinforced concrete (RC) structures. In this paper, a smooth hysteretic model with stiffness and strength degradations and with the pinching effect is used to represent the dynamic characteristics of RC frames. A system identification method capable of detecting damages in nonlinear structures, referred to as the adaptive quadratic sum‐square error with unknown inputs (AQSSE‐UI), will be used to detect damages in hysteretic RC frames. The performance of the AQSSE‐UI technique will be demonstrated by the experimental data. A one‐third‐scale two‐story RC frame has been tested experimentally on the shake table at National Center for Research on Earthquake Engineering, Taiwan. This two‐story RC frame was subject to different levels of ground excitations back to back. The RC frame is firstly considered as a time‐varying linear model with rotational springs at joints, and the tracking of the degradation of the time‐varying stiffness parameters is carried out using the AQSSE‐UI technique. Then the same RC frame is considered as a nonlinear structure consisting of plastic hinges at joints following a smooth hysteretic model. Experimental results show that the AQSSE‐UI technique is quite effective for tracking (i) the stiffness degradation of time‐varying linear structures and (ii) the nonlinear hysteretic parameters with stiffness and strength degradations as well as the pinching effect. Copyright © 2015 John Wiley & Sons, Ltd.
AbstractList Summary Civil engineering structures, such as reinforced concrete frames, exhibit nonlinear behavior when subject to dynamic loads, such as earthquakes. The ability to detect damages in structures after a major earthquake will ensure their reliability and safety. Innovative analysis techniques for damage detection of structures have been extensively studied recently. However, practical and effective local damage identification techniques remain to be developed for nonlinear structures, in particular hysteretic reinforced concrete (RC) structures. In this paper, a smooth hysteretic model with stiffness and strength degradations and with the pinching effect is used to represent the dynamic characteristics of RC frames. A system identification method capable of detecting damages in nonlinear structures, referred to as the adaptive quadratic sum‐square error with unknown inputs (AQSSE‐UI), will be used to detect damages in hysteretic RC frames. The performance of the AQSSE‐UI technique will be demonstrated by the experimental data. A one‐third‐scale two‐story RC frame has been tested experimentally on the shake table at National Center for Research on Earthquake Engineering, Taiwan. This two‐story RC frame was subject to different levels of ground excitations back to back. The RC frame is firstly considered as a time‐varying linear model with rotational springs at joints, and the tracking of the degradation of the time‐varying stiffness parameters is carried out using the AQSSE‐UI technique. Then the same RC frame is considered as a nonlinear structure consisting of plastic hinges at joints following a smooth hysteretic model. Experimental results show that the AQSSE‐UI technique is quite effective for tracking (i) the stiffness degradation of time‐varying linear structures and (ii) the nonlinear hysteretic parameters with stiffness and strength degradations as well as the pinching effect. Copyright © 2015 John Wiley & Sons, Ltd.
Summary Civil engineering structures, such as reinforced concrete frames, exhibit nonlinear behavior when subject to dynamic loads, such as earthquakes. The ability to detect damages in structures after a major earthquake will ensure their reliability and safety. Innovative analysis techniques for damage detection of structures have been extensively studied recently. However, practical and effective local damage identification techniques remain to be developed for nonlinear structures, in particular hysteretic reinforced concrete (RC) structures. In this paper, a smooth hysteretic model with stiffness and strength degradations and with the pinching effect is used to represent the dynamic characteristics of RC frames. A system identification method capable of detecting damages in nonlinear structures, referred to as the adaptive quadratic sum-square error with unknown inputs (AQSSE-UI), will be used to detect damages in hysteretic RC frames. The performance of the AQSSE-UI technique will be demonstrated by the experimental data. A one-third-scale two-story RC frame has been tested experimentally on the shake table at National Center for Research on Earthquake Engineering, Taiwan. This two-story RC frame was subject to different levels of ground excitations back to back. The RC frame is firstly considered as a time-varying linear model with rotational springs at joints, and the tracking of the degradation of the time-varying stiffness parameters is carried out using the AQSSE-UI technique. Then the same RC frame is considered as a nonlinear structure consisting of plastic hinges at joints following a smooth hysteretic model. Experimental results show that the AQSSE-UI technique is quite effective for tracking (i) the stiffness degradation of time-varying linear structures and (ii) the nonlinear hysteretic parameters with stiffness and strength degradations as well as the pinching effect. Copyright © 2015 John Wiley & Sons, Ltd.
Civil engineering structures, such as reinforced concrete frames, exhibit nonlinear behavior when subject to dynamic loads, such as earthquakes. The ability to detect damages in structures after a major earthquake will ensure their reliability and safety. Innovative analysis techniques for damage detection of structures have been extensively studied recently. However, practical and effective local damage identification techniques remain to be developed for nonlinear structures, in particular hysteretic reinforced concrete (RC) structures. In this paper, a smooth hysteretic model with stiffness and strength degradations and with the pinching effect is used to represent the dynamic characteristics of RC frames. A system identification method capable of detecting damages in nonlinear structures, referred to as the adaptive quadratic sum-square error with unknown inputs (AQSSE-UI), will be used to detect damages in hysteretic RC frames. The performance of the AQSSE-UI technique will be demonstrated by the experimental data. A one-third-scale two-story RC frame has been tested experimentally on the shake table at National Center for Research on Earthquake Engineering, Taiwan. This two-story RC frame was subject to different levels of ground excitations back to back. The RC frame is firstly considered as a time-varying linear model with rotational springs at joints, and the tracking of the degradation of the time-varying stiffness parameters is carried out using the AQSSE-UI technique. Then the same RC frame is considered as a nonlinear structure consisting of plastic hinges at joints following a smooth hysteretic model. Experimental results show that the AQSSE-UI technique is quite effective for tracking (i) the stiffness degradation of time-varying linear structures and (ii) the nonlinear hysteretic parameters with stiffness and strength degradations as well as the pinching effect.
Author Loh, Chin-Hsiung
Wu, Ai-Lun
Yang, Jann N.
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Masri SF, Chassiakos AG, Caughey TK. Identification of nonlinear dynamic systems using neural networks. Journal of Applied Mechanics, Trans. ASME 1993; 60(1):123-133.
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Doebling SW, Farrar CR, Prime MB. A summary review of vibration-based damage identification methods. The Shock and Vibration Digest 1998; 30:91-105.
Kyoung JL, Chung BY. Parameter identification for nonlinear behavior of RC bridge piers using sequential modified extended Kalman filter. Smart Structures and Systems 2008; 4(3):319-342.
Yang JN, Pan S, Huang H. An adaptive extended Kalman filter for structural damage identification II: unknown inputs. Journal of Structural Control and Health Monitoring 2007; 14(3):497-521.
Huang H, Yang JN. Damage identification of substructure for local health monitoring. Journal of Smart Structures and Systems 2008; 4(6):795-807.
Chopra AK. Dynamics of structures: theory and applications to earthquake engineering. Prentice-Hall Inc. 2001:367-370. ISBN-10:0130869732/ISBN-13:978-0132858038.
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Yang JN, Huang H. Sequential non-linear least square estimation for damage identification of structures with unknown inputs and unknown outputs. International Journal of Non-Linear Mechanics 2007; 42:789-801.
Yang JN, Xia Ye, Loh CH. Damage identification of bolt joint connections in steel frame. Journal of Structural Engineering, ASCE 2014; 140(3) 04013064, 2013; doi: 10.1061/(ASCE)ST.1943-541X.0000831.
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Huang H, Yang JN, Zhou L. Adaptive quadratic sum-squares error with unknown inputs for damage identification of structures. Journal of Structural Control and Health Monitoring 2010; 17(4):404-426.
Yang JN, Huang H, Pan S. Adaptive quadratic sum-squares error for structural damage identification. Journal of Engineering Mechanics, ASCE 2009; 135(2):67-77.
Sivaselvan MV, Reinhorn AM. Hysteretic models for deteriorating inelastic structures. Journal of Engineering Mechanics (ASCE) 2000; 126:633-640.
Wong KF, Wang Z. Seismic analysis of inelastic moment-resisting frames part 1: modified force analogy method for end offsets. The structure design of tall and special buildings 2007; 16:267-282.
Wong KF, Yang R. Earthquake response and energy evaluation of inelastic structures. Journal of Engineering Mechanics 2002; 128(3):308-317.
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– reference: Casciati F, Faravelli L. Model order reduction issues for integrated structural control design. Advances in Science and Technology 2013; 83:37-48.
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– reference: Wong KF, Wang Y. Energy-based design of structures using modified force analogy method. The structure design of tall and special buildings 2003; 12(5):393-407.
– reference: Alvin KF, Robertson AN, Reich GW, Park KC. Structural system identification: from reality to models. Computers and Structures 2003; 81:1149-1176.
– reference: Yang JN, Xia Y, Loh CH. Damage detection of hysteretic structures with pinching effect. ASCE Journal of Engineering Mechanics 2014; 140(3):462-472.
– reference: Masri SF, Chassiakos AG, Caughey TK. Identification of nonlinear dynamic systems using neural networks. Journal of Applied Mechanics, Trans. ASME 1993; 60(1):123-133.
– reference: Casciati S, Farevelli L. Quantity vs. quality in the model order reduction (MOR) of a linear system. Smart Structure and Systems 2013; 13(1):99-109.
– reference: Doebling SW, Farrar CR, Prime MB. A summary review of vibration-based damage identification methods. The Shock and Vibration Digest 1998; 30:91-105.
– reference: Yang JN, Xia Ye, Loh CH. Damage identification of bolt joint connections in steel frame. Journal of Structural Engineering, ASCE 2014; 140(3) 04013064, 2013; doi: 10.1061/(ASCE)ST.1943-541X.0000831.
– reference: Wong KF, Wang Z. Seismic analysis of inelastic moment-resisting frames part 1: modified force analogy method for end offsets. The structure design of tall and special buildings 2007; 16:267-282.
– reference: Huang H, Yang JN. Damage identification of substructure for local health monitoring. Journal of Smart Structures and Systems 2008; 4(6):795-807.
– reference: Kyoung JL, Chung BY. Parameter identification for nonlinear behavior of RC bridge piers using sequential modified extended Kalman filter. Smart Structures and Systems 2008; 4(3):319-342.
– reference: Bernal D, Beck JL. Special section: phase I of the IASC-ASCE structural health monitoring benchmark. Journal of Engineering Mechanics, ASCE 2004; 130(1):1-127.
– reference: Wong KF, Yang R. Earthquake response and energy evaluation of inelastic structures. Journal of Engineering Mechanics 2002; 128(3):308-317.
– reference: Yang JN, Huang H, Pan S. Adaptive quadratic sum-squares error for structural damage identification. Journal of Engineering Mechanics, ASCE 2009; 135(2):67-77.
– reference: Yang JN, Huang H. Sequential non-linear least square estimation for damage identification of structures with unknown inputs and unknown outputs. International Journal of Non-Linear Mechanics 2007; 42:789-801.
– reference: Huang H, Yang JN, Zhou L. Adaptive quadratic sum-squares error with unknown inputs for damage identification of structures. Journal of Structural Control and Health Monitoring 2010; 17(4):404-426.
– reference: Chopra AK. Dynamics of structures: theory and applications to earthquake engineering. Prentice-Hall Inc. 2001:367-370. ISBN-10:0130869732/ISBN-13:978-0132858038.
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– year: 2011
– volume: 125
  start-page: 1190
  issue: 10
  year: 1999
  end-page: 1199
  article-title: Inelastic dynamic response of structures using force analogy method
  publication-title: Journal of Engineering Mechanics
– volume: 14
  start-page: 497
  issue: 3
  year: 2007
  end-page: 521
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  publication-title: Journal of Structural Control and Health Monitoring
– volume: 13
  start-page: 99
  issue: 1
  year: 2013
  end-page: 109
  article-title: Quantity vs. quality in the model order reduction (MOR) of a linear system
  publication-title: Smart Structure and Systems
– year: 2007
– volume: 17
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  issue: 4
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  article-title: Adaptive quadratic sum‐squares error with unknown inputs for damage identification of structures
  publication-title: Journal of Structural Control and Health Monitoring
– start-page: 367
  year: 2001
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  article-title: Dynamics of structures: theory and applications to earthquake engineering
  publication-title: Prentice‐Hall Inc.
– volume: 42
  start-page: 789
  year: 2007
  end-page: 801
  article-title: Sequential non‐linear least square estimation for damage identification of structures with unknown inputs and unknown outputs
  publication-title: International Journal of Non‐Linear Mechanics
– volume: 81
  start-page: 1149
  year: 2003
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  article-title: Structural system identification: from reality to models
  publication-title: Computers and Structures
– volume: 16
  start-page: 267
  year: 2007
  end-page: 282
  article-title: Seismic analysis of inelastic moment‐resisting frames part 1: modified force analogy method for end offsets
  publication-title: The structure design of tall and special buildings
– volume: 130
  start-page: 1
  issue: 1
  year: 2004
  end-page: 127
  article-title: Special section: phase I of the IASC‐ASCE structural health monitoring benchmark
  publication-title: Journal of Engineering Mechanics, ASCE
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  year: 1998
  end-page: 105
  article-title: A summary review of vibration‐based damage identification methods
  publication-title: The Shock and Vibration Digest
– volume: 83
  start-page: 37
  year: 2013
  end-page: 48
  article-title: Model order reduction issues for integrated structural control design
  publication-title: Advances in Science and Technology
– volume: 128
  start-page: 308
  issue: 3
  year: 2002
  end-page: 317
  article-title: Earthquake response and energy evaluation of inelastic structures
  publication-title: Journal of Engineering Mechanics
– volume: 140
  issue: 3
  year: 2014
  article-title: Damage identification of bolt joint connections in steel frame
  publication-title: Journal of Structural Engineering, ASCE
– volume: 4
  start-page: 319
  issue: 3
  year: 2008
  end-page: 342
  article-title: Parameter identification for nonlinear behavior of RC bridge piers using sequential modified extended Kalman filter
  publication-title: Smart Structures and Systems
– volume: 135
  start-page: 67
  issue: 2
  year: 2009
  end-page: 77
  article-title: Adaptive quadratic sum‐squares error for structural damage identification
  publication-title: Journal of Engineering Mechanics, ASCE
– volume: 140
  start-page: 462
  issue: 3
  year: 2014
  end-page: 472
  article-title: Damage detection of hysteretic structures with pinching effect
  publication-title: ASCE Journal of Engineering Mechanics
– volume: 126
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Snippet Summary Civil engineering structures, such as reinforced concrete frames, exhibit nonlinear behavior when subject to dynamic loads, such as earthquakes. The...
Summary Civil engineering structures, such as reinforced concrete frames, exhibit nonlinear behavior when subject to dynamic loads, such as earthquakes. The...
Civil engineering structures, such as reinforced concrete frames, exhibit nonlinear behavior when subject to dynamic loads, such as earthquakes. The ability to...
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SubjectTerms Damage detection
Degradation
experimental study
finite-element model
Frames
Glass transition temperature
Hysteresis
hysteretic model
Nonlinearity
Reinforced concrete
reinforced concrete frames
Stiffness
structural health monitoring
system identification
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Title A finite-element based damage detection technique for nonlinear reinforced concrete structures
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