Phase I IASC-ASCE Structural Health Monitoring Benchmark Problem Using Simulated Data

Johnson, E. A.; Lam, Heung-Fai; Katafygiotis, Lambros S.; Beck, James L.

doi:10.1061/(asce)0733-9399(2004)130:1(3)

Cited by 364 publications

(246 citation statements)

References 5 publications

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“…The results revealed that there is a good agreement between the actual and estimated damage of the benchmark structure. Geometry of the benchmark structure [24] Furthermore, Table 4 provides comparison between the obtained results from the presented method in this paper and energy index method proposed by Sharifi and Banan [25]. As it is shown, the damages obtained by the proposed model are closer to actual damages compared to the energy index method.…”

Section: Iasc-asce Benchmark Structurementioning

confidence: 77%

“…12. Details of the first phase of IASC-ASCE benchmark problem was presented by Johnson et al [24]. The proposed method is applied to case 1 of this phase benchmark problem, and the finite element model of the 12 DOF shear building model is used.…”

Section: Iasc-asce Benchmark Structurementioning

confidence: 99%

“…The presented method for damage identification has been applied to two numerical examples, namely a three-story plane frame and cantilever plate. In addition, the benchmark problem provided by the IASC-ASCE Task Group on Structural Health Monitoring [24] is used for demonstration of efficiency of the presented approaches. Moreover, the performance of the proposed method using modal data has been evaluated through comparison the obtained results with energy index method presented by Sharifi and Banan [25].…”

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confidence: 99%

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Damage Diagnosis of Structures Using Modal Data and Static Response

Kourehli¹

2016

Period. Polytech. Civil Eng.

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Section: Iasc-asce Benchmark Structurementioning

confidence: 77%

Section: Iasc-asce Benchmark Structurementioning

confidence: 99%

mentioning

confidence: 99%

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Damage Diagnosis of Structures Using Modal Data and Static Response

Kourehli¹

2016

Period. Polytech. Civil Eng.

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“…Many researchers (Ching and Beck, 2004;Johnson et al, 2004;Kharrazi et al, 2002;Mikami et al, 2007) have investigated methods of SHM/damage diagnosis for the scaled fourstorey, two-by-two bay, steel braced frame ASCE structural health monitoring task group benchmark damage structure (IASC-ASCE, 1999). Varying levels of damage scenarios were tested, with damage consisting of removal of single or multiple brace members.…”

Section: Introductionmentioning

confidence: 99%

Seismic damage detection for a steel braced frame structure

McCrum¹,

Staino²

2015

Proceedings of the ICE - Structures and Buildings

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A new approach for global detection of seismic damage in a single-storey steel concentrically braced frame (CBF) structure is presented. The filtered lateral in-plane acceleration response of the CBF structure is integrated twice to provide the lateral in-plane displacement that is used to infer buckling and yielding damage. The level of interstorey drift of the CBF during a seismic excitation allows the yield and buckling of the bracing members to be identified and indirectly detects damage based on exceedance of calculated lateral in-plane displacement limits. A band-pass filter removes noise from the acceleration signal followed by baseline correction being used to reduce the drift in velocity and displacement during numerical integration. This pre-processing results in reliable numerical integration of the frame acceleration that predicts the displacement response accurately when compared to the measured lateral displacement of the CBF structure. Importantly, the structural damage is not assumed through removal of bracing members, rather damage is induced through actual seismic loading. The buckling and yielding displacement threshold limits used to identify damage are demonstrated to identify accurately the initiation of buckling and yielding.

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“…To validate and compare the performance of current and future damage detection methodologies, a powerful structural health monitoring benchmark study has been devised that offers an extensive data set collected from a full-scale laboratory structure tested under ambient and forced vibrations. Since the public release of the IASC-ASCE Task Group on Structural Health Monitoring's benchmark study, a number of researchers have tested the efficacy of their damage detection strategies on the data set (Johnson et al 2004).…”

Section: Introductionmentioning

confidence: 99%

Damage Characterization of the IASC-ASCE Structural Health Monitoring Benchmark Structure by Transfer Function Pole Migration

Lynch

2005

Structures Congress 2005

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In this paper, a novel approach to the characterization of structural damage in civil structures is presented. Structural damage often results in subtle changes to structural stiffness and damping properties that are manifested by changes in the location of transfer function characteristic equation roots (poles) upon the complex plane. Using structural response time-history data collected from an instrumented structure, transfer function poles can be estimated using traditional system identification methods. Comparing the location of poles corresponding to the structure in an unknown structural state to those of the undamaged structure, damage can be accurately identified. The IASC-ASCE structural health monitoring benchmark structure is used in this study to illustrate the merits of the transfer function pole migration approach to damage detection in civil structures.

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Phase I IASC-ASCE Structural Health Monitoring Benchmark Problem Using Simulated Data

Cited by 364 publications

References 5 publications

Damage Diagnosis of Structures Using Modal Data and Static Response

Damage Diagnosis of Structures Using Modal Data and Static Response

Seismic damage detection for a steel braced frame structure

Damage Characterization of the IASC-ASCE Structural Health Monitoring Benchmark Structure by Transfer Function Pole Migration

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