133 research outputs found

    Bayesian probabilistic damage detection of a reinforced-concrete bridge column

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    A Bayesian probabilistic approach for damage detection has been proposed for the continuous monitoring of civil structures (Sohn H, Law KH. Bayesian probabilistic approach for structure damage detection. Earthquake Engineering and Structural Dynamics 1997; 26: 1259-1281). This paper describes the application of the Bayesian approach to predict the location of plastic hinge deformation using the experimental data obtained from the vibration tests of a reinforced-concrete bridge column. The column was statically pushed incrementally with lateral displacements until a plastic hinge is fully formed at the bottom portion of the column. Vibration tests were performed at different damage stages. The proposed damage detection method was able to locate the damaged region using a simplified analytical model and the modal parameters estimated from the vibration tests, although (1) only the first bending and first torsional modes were estimated from the experimental test data, (2) the locations where the accelerations were measured did not coincide with the degrees of freedom of the analytical model, and (3) there existed discrepancies between the undamaged test structure and the analytical model. The Bayesian framework was able to systematically update the damage probabilities when new test data became available. Better diagnosis was obtained by employing multiple data sets than just by using each test data set separately. Copyright (C) 2000 John Wiley & Sons, Ltd.The "rst author wishes to express his sincere thanks to Professor Gerard C. Pardoen and his students at the University of California at Irvine for providing an opportunity to observe the bridge column test. Also, the authors are indebted to Dr Charles R. Farrar and Dr Scott W. Doebling of the Los Alamos National Laboratory for providing the vibration test data. This research was partially sponsored by the National Science Foundation under Grant No. CMS-95261-2

    Development of Dual PZT Transducers for Reference-Free Crack Detection in Thin Plate Structures

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    A new Lamb-wave-based nondestructive testing (NDT) technique, which does not rely on previously stored baseline data, is developed for crack monitoring in plate structures. Commonly, the presence of damage is identified by comparing "current data" measured from a potentially damaged stage of a structure with "baseline data" previously obtained at the intact condition of the structure. In practice, structural defects typically take place long after collection of the baseline data, and the baseline data can be also affected by external loading, temperature variations, and changing boundary conditions. To eliminate the dependence on the baseline data comparison, the authors previously developed a reference-free NDT technique using 2 pairs of collocated lead zirconate titanate (PZT) transducers placed on both sides of a plate. This reference-free technique is further advanced in the present study by the necessity of attaching transducers only on a single surface of a structure for certain applications such as aircraft. To achieve this goal, a new design of PZT transducers called dual PZT transducers is proposed. Crack formation creates Lamb wave mode conversion due to a sudden thickness change of the structure. This crack appearance is instantly detected from the measured Lamb wave signals using the dual PZT transducers. This study also suggests a reference-free statistical approach that enables damage classification using only the currently measured data set. Numerical simulations and experiments were conducted using an aluminum plate with uniform thickness and fundamental Lamb waves modes to demonstrate the applicability of the proposed technique to reference-free crack detection.This research is supported by the Radiation Technology Program under Korea Science and Engineering Foundation (KOSEF) and the Ministry of Science and Technology (M20703000015-07N0300-01510) and Korea Research Foundation Grant funded by the Korean Government (MOEHRD, Basic Research Promotion Fund) (KRF-2007-331-D00462). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the funding agencies

    Application of time reversal guided waves to field bridge testing for baseline free damage diagnosis

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    This research is partially supported by Pennsylvania Infrastructure Technology Alliance (PITA) Program and Pennsylvania Department of Transportation (PennDOT). The first author would like to acknowledge the graduate fellowship program from Samsung Lee Kun Hee Scholarship Foundation in Seoul, Korea. The authors would like to thank Paul Majoris and James Johnson for granting access to the Buffalo Creek Bridge site. The authors also would like to thank Profs. David W. Greve and Irving J. Oppenheim for providing invaluable comments and making the scaled girder specimen available for our study

    Parameter estimation of the generalized extreme value distribution for structural health monitoring

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    Structural health monitoring (SHM) can be defined as a statistical pattern recognition problem which necessitates establishing a decision boundary for damage identification. In general, data points associated with damage manifest themselves near the tail of a baseline data distribution, which is obtained from a healthy state of a structure. Because damage diagnosis is concerned with outliers potentially associated with damage, improper modeling of the tail distribution may impair the performance of SHM by misclassifying a condition state of the structure. This paper attempts to address the issue of establishing a decision boundary based on extreme value statistics (EVS) so that the extreme values associated with the tail distribution can be properly modeled. The generalized extreme value distribution (GEV) is adopted to model the extreme values. A theoretical framework and a parameter estimation technique are developed to automatically estimate model parameters of the GEV. The validity of the proposed method is demonstrated through numerically simulated data, previously published real sample data sets, and experimental data obtained from the damage detection study in a composite plate. (c) 2005 Elsevier Ltd. All rights reserved.The authors would like to thank Prof. Keith Worden’s contribution to the initial implementation of the differential evolution code used in this study. The authors also wish to recognize the Weapon Response Group (ESA-WR) of Los Alamos National Laboratory for providing the experimental data for the composite plate test for this study. The first author would like to acknowledge the Post-doctoral Fellowship Program of the Korea Science & Engineering Foundation (KOSEF) in 2003

    Lamb wave tuning curve calibration for surface-bonded piezoelectric transducers

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    Surface-bonded lead zirconate titanate (PZT) transducers have been widely used for guided wave generation and measurement. For selective actuation and sensing of Lamb wave modes, the sizes of the transducers and the driving frequency of the input waveform should be tuned. For this purpose, a theoretical Lamb wave tuning curve (LWTC) of a specific transducer size is generally obtained. Here, the LWTC plots each Lamb wave mode' amplitude as a function of the driving frequency. However, a discrepancy between experimental and existing theoretical LWTCs has been observed due to little consideration of the bonding layer and the energy distribution between Lamb wave modes. In this study, calibration techniques for theoretical LWTCs are proposed. First, a theoretical LWTC is developed when circular PZT transducers are used for both Lamb wave excitation and sensing. Then, the LWTC is calibrated by estimating the effective PZT size with PZT admittance measurement. Finally, the energy distributions among symmetric and antisymmetric modes are taken into account for better prediction of the relative amplitudes between Lamb wave modes. The effectiveness of the proposed calibration techniques is examined through numerical simulations and experimental estimation of the LWTC using the circular PZT transducers instrumented on an aluminum plate.This research is supported by the Radiation Technology Program under Korea Science and Engineering Foundation (KOSEF) and the Ministry of Science and Technology (M20703000015-07N0300-01510) and by an Applied Research Grant from the Agency for Defense Development (UC080019JD). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the funding agencies. The authors also would like to thank Professors Irving Oppenheim, David W Greve and Jeffrey S Vipperman for providing invaluable comments for this study

    Continuous fatigue crack monitoring without baseline data

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    In order to overcome the susceptibility of conventional non-destructive testing (NDT) techniques to operational and environmental variations, a new damage detection technique that does not require direct comparison with baseline data was previously developed by the authors for detecting a crack in a plate structure. This reference-free technique employs two pairs of collocated lead zirconate titanate transducers (PZTs) placed on both sides of the plate to generate and measure Lamb waves. Then, the existence of mode conversion due to the crack is identified from the Lamb wave signals instantly measured by PZTs. In this study, the effectiveness of the proposed technique is tested using a steel girder specimen. A cyclic loading is applied to the girder resulting in fatigue cracks, and the proposed technique detects the appearance of fatigue damage solely based on the measured Lamb waves at the present stage. Experimental results are presented to demonstrate the applicability of the proposed technique to fatigue crack monitoring, and issues related to PZT installation are discussed.This research is supported by the Radiation Technology Program under Korea Science and Engineering Foundation (KOSEF) and the Ministry of Science and Technology (M20703000015-07N0300-01510) andKorea Research Foundation Grant funded by the Korean Government (MOEHRD, Basic Research Promotion Fund) (KRF-2007-331-D00462). Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the funding agencies. The authors also would like to thank Professors Kent A. Harris and Piervincenzo Rizzo at University of Pittsburgh for designing the steel girder specimen and conducting fatigue loading tests

    Energy-based Reference-Free Damage Diagnosis using A Single Pair of Collocated PZTs

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    This research is supported by the Radiation Technology Program (M20703000015-07N0300-01510) under Korea Science and Engineering Foundation (KOSEF) and U-Eco city project (C007L7510001-08L015800110) under Korea Institute of Construction & Transportation technology Evaluation and Planning (KICTEP). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the funding agencies

    Novelty detection in a changing environment: Regression and interpolation approaches

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    The technique of novelty detection is now established as a means of performing the lowest level of damage identification. Data are accumulated while the system or structure is operating in normal condition and used to construct a reference model. During subsequent operation of the system, data are compared to the reference and any significant deviations are taken to indicate damage. This approach has potential problems if the system or structure is embedded in a changing environment. If the reference data are only characteristic of a limited range of the environmental parameters, measurements from the system in an undamaged condition but from a different environmental state, may cause the diagnostic to register novelty and thus falsely infer damage. This paper demonstrates a potential solution to the problem via the construction of a reference set parametrized by an environmental variable. Two approaches are considered: regression and interpolation. (C) 2002 Elsevier Science Ltd. All rights reserved.The first author would like to thank Los Alamos National Laboratoryfor financial support while this studywas carried out

    Reference-free damage classification based on cluster analysis

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    Fiber-reinforced polymer (FRP) composite materials have been widely used for retrofitting civil infrastructure systems. The ultimate goal of this study was to develop an in-site non-destructive testing (NDT) technique that can continuously and autonomously inspect the bonding condition between a carbon FRP (CFRP) layer and a host reinforced concrete (RC) structure, when the CRFP layer is used for strengthening the RC structure. The uniqueness of this reference-free NDT is two-fold: First, features, which are sensitive to CFRP debonding but insensitive to operational and environmental variations of the structure, have been extracted only from current data without direct comparison with previously obtained baseline data. Second, damage classification is performed instantaneously without relying on predetermined decision boundaries. The extraction of the reference-free features is accomplished based on the concept of time reversal acoustics, and the instantaneous decision-making is achieved using cluster analysis. Monotonic and fatigue load tests of large-scale CFRP-strengthened RC beams are conducted to demonstrate the potential of the proposed reference-free debonding monitoring technique. Based on the experimental studies, it has been shown that the proposed reference-free NDT technique may minimize false alarms of debonding and unnecessary data interpretation by end users.This research was supported by an NSF Grant No. CMS- 0529208 and Pennsylvania Infrastructure Technology Alliance (PITA) program, and Smart Infra-Structure Technology Center (SISTeC). The authors also like to thank Chiwon In, Seung Bum Kim, Kelly Cronin, and Dena E. De Iuliis for assisting our experiments. The second author would like to acknowledge the Electric Power National Scholarship Program at the Ministry of Commerce, Industry and Energy (MOCIE) in Gwachon, SouthKorea.The beam testing was assisted by Andrew Zorn and Benjamin Reeve in theWatkins-Haggart Structural Engineering Laboratory at the University of Pittsburgh

    Understanding a time reversal process in Lamb wave propagation

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    This study investigates the time reversal process (TRP) of Lamb wave signals which are transmitted and received by piezoelectric transducers bonded on plate-like structures. A number of previous studies have paid attention to spatial and temporal refocusing capability of an original excitation through the TRP in highly dispersive and complex media. However, when the TRP is applied to Lamb waves in a homogeneous regular waveguide, the refocusing capability is limited due to permanent residual side bands even if the duration of the time reversed signal increases. Based on the reciprocity of elastodynamics and linear piezoelectricity, theoretical interpretation is conducted for the main and residual side bands of the reconstructed signal in the time domain. In particular, the interpretation includes the temporal effect of velocity and amplitude dispersions, the existence of multi-modes, and the reflections from boundaries during the TRP. Then, numerical and experimental tests are conducted to validate the theoretical findings of this paper. Practical issues for the successful implementation of the TRP of Lamb waves are briefly addressed as well. (C) 2009 Elsevier B.V. All rights reserved.This work was supported by Korea Research Foundation Grant funded by the Korean Government (MOEHRD, Basic Research Promotion Fund) (KRF-2008-331-D00590), in which main calculations were performed by using the supercomputing resource of the Korea Institute of Science and Technology Information (KISTI), and the Radiation Technology Program under Korea Science and Engineering Foundation (KOSEF) and the Ministry of Science and Technology (M20703000015-07N0300- 01510). The second author would like to acknowledge the graduate fellowship program from Samsung Scholarship in Seoul, Korea
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