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 in | Structural control and health monitoring Vol. 22; no. 10; pp. 1223 - 1239 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Pavia
Blackwell Publishing Ltd
01.10.2015
John Wiley & Sons, Inc |
Subjects | |
Online Access | Get full text |
ISSN | 1545-2255 1545-2263 |
DOI | 10.1002/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. |
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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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References_xml | – reference: 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. – reference: Casciati F, Faravelli L. Model order reduction issues for integrated structural control design. Advances in Science and Technology 2013; 83:37-48. – reference: Weng JH, Loh CH, Yang JN. Experimental study of damage detection by data-driven subspace identification and finite-element model updating. Journal of Structural Engineering, ASCE 2009; 135(12):1533-1544. – 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. – reference: Johnson EA, Lam HF, Katafygiotis LS, Beck JL. The phase I IASC-ASCE structural health monitoring benchmark problem using simulated data ASCE. Journal of Engineering Mechanics 2004; 130(1):3-15. – reference: Masri SF, Smyth AW, Chassiakos AG, Caughey TK, Hunter NF. Application of neural networks for detection of changes in nonlinear systems. Journal of Engineering Mechanics 2000; 126(7):666-676. – reference: Wong KF, Yang R. Inelastic dynamic response of structures using force analogy method. Journal of Engineering Mechanics 1999; 125(10):1190-1199. – reference: Sivaselvan MV, Reinhorn AM. Hysteretic models for deteriorating inelastic structures. 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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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