Experimental Studies on Damage Detection in Frame Structures Using Vibration Measurements
This paper presents an experimental study of frequency and time domain identification algorithms and discusses their effectiveness in structural health monitoring of frame structures using acceleration input and response data. Three algorithms were considered: 1) a frequency domain decomposition alg...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2010-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.3233/SAV-2010-0516 |
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| _version_ | 1832560992968507392 |
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| author | Giancarlo Fraraccio Adrian Brügger Raimondo Betti |
| author_facet | Giancarlo Fraraccio Adrian Brügger Raimondo Betti |
| author_sort | Giancarlo Fraraccio |
| collection | DOAJ |
| description | This paper presents an experimental study of frequency and time domain identification algorithms and discusses their effectiveness in structural health monitoring of frame structures using acceleration input and response data. Three algorithms were considered: 1) a frequency domain decomposition algorithm (FDD), 2) a time domain Observer Kalman IDentification algorithm (OKID), and 3) a subsequent physical parameter identification algorithm (MLK). Through experimental testing of a four-story steel frame model on a uniaxial shake table, the inherent complications of physical instrumentation and testing are explored. Primarily, this study aims to provide a dependable first-order and second-order identification of said test structure in a fully instrumented state. Once the characteristics (i.e. the stiffness matrix) for a benchmark structure have been determined, structural damage can be detected by a change in the identified structural stiffness matrix. This work also analyzes the stability of the identified structural stiffness matrix with respect to fluctuations of input excitation magnitude and frequency content in an experimental setting. |
| format | Article |
| id | doaj-art-07f6d40080c540dcbc5eb9d765201fd8 |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2010-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-07f6d40080c540dcbc5eb9d765201fd82025-02-03T01:26:13ZengWileyShock and Vibration1070-96221875-92032010-01-0117669772110.3233/SAV-2010-0516Experimental Studies on Damage Detection in Frame Structures Using Vibration MeasurementsGiancarlo Fraraccio0Adrian Brügger1Raimondo Betti2Università degli Studi di Roma La Sapienza, Dipartimento di Ingegneria Strutturale e Geotecnica, Via Eudossiana, 18, 00184 Roma, ItalyDepartment of Civil Engineering and Engineering Mechanics, Columbia University, 636A S. W. Mudd Building, 500 West 120th Street, New York, NY, USADepartment of Civil Engineering and Engineering Mechanics, Columbia University, 640 S. W. Mudd Building, 500 West 120th Street, New York, NY, USAThis paper presents an experimental study of frequency and time domain identification algorithms and discusses their effectiveness in structural health monitoring of frame structures using acceleration input and response data. Three algorithms were considered: 1) a frequency domain decomposition algorithm (FDD), 2) a time domain Observer Kalman IDentification algorithm (OKID), and 3) a subsequent physical parameter identification algorithm (MLK). Through experimental testing of a four-story steel frame model on a uniaxial shake table, the inherent complications of physical instrumentation and testing are explored. Primarily, this study aims to provide a dependable first-order and second-order identification of said test structure in a fully instrumented state. Once the characteristics (i.e. the stiffness matrix) for a benchmark structure have been determined, structural damage can be detected by a change in the identified structural stiffness matrix. This work also analyzes the stability of the identified structural stiffness matrix with respect to fluctuations of input excitation magnitude and frequency content in an experimental setting.http://dx.doi.org/10.3233/SAV-2010-0516 |
| spellingShingle | Giancarlo Fraraccio Adrian Brügger Raimondo Betti Experimental Studies on Damage Detection in Frame Structures Using Vibration Measurements Shock and Vibration |
| title | Experimental Studies on Damage Detection in Frame Structures Using Vibration Measurements |
| title_full | Experimental Studies on Damage Detection in Frame Structures Using Vibration Measurements |
| title_fullStr | Experimental Studies on Damage Detection in Frame Structures Using Vibration Measurements |
| title_full_unstemmed | Experimental Studies on Damage Detection in Frame Structures Using Vibration Measurements |
| title_short | Experimental Studies on Damage Detection in Frame Structures Using Vibration Measurements |
| title_sort | experimental studies on damage detection in frame structures using vibration measurements |
| url | http://dx.doi.org/10.3233/SAV-2010-0516 |
| work_keys_str_mv | AT giancarlofraraccio experimentalstudiesondamagedetectioninframestructuresusingvibrationmeasurements AT adrianbrugger experimentalstudiesondamagedetectioninframestructuresusingvibrationmeasurements AT raimondobetti experimentalstudiesondamagedetectioninframestructuresusingvibrationmeasurements |