Statistical model-based damage localization: A combined subspace-based and substructuring approach

Balmès, Étienne; Basseville, Michèle; Mevel, Laurent; Nasser, Houssein; Zhou, Wensong

doi:10.1002/stc.223

Cited by 46 publications

(63 citation statements)

References 33 publications

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“…Significant advances in sensor and computer technologies made possible to measure and process a large amount of monitoring data, to identify key features from the data, and to link those to the current structural conditions . Extensive efforts have been made in this area for purposes of operational modal analysis, system identification, model updating, and damage detection . These studies were conducted on the basis of the data from various sources, such as numerical simulation, laboratory experiments and field measurements.…”

Section: Introductionmentioning

confidence: 99%

The MIT Green Building benchmark problem for structural health monitoring of tall buildings

Sun

Büyüköztürk

2017

Struct Control Health Monit

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Summary This paper presents a benchmark problem for the structural health monitoring community to study tall buildings. The benchmark building is called the Green Building located at the Massachusetts Institute of Technology campus, with 21 stories above the ground (83.7 m) and a basement (3.8 m) connecting to the Massachusetts Institute of Technology tunnel system. This building was constructed as cast‐in‐place reinforced concrete and instrumented with 36 accelerometers to measure the building translational, torsional and vertical responses. The benchmark problem includes the detailed description of this building, 7 field measurement data sets (4 ambient data sets, 1 data set under an unidentified event, 1 data set under the excitation of fireworks, and 1 earthquake data set), and finite element models (both full‐scale and condensed models). The Green Building has an identifiable soil‐structure interaction behavior and the base rocking movement brings significant components into the building response. To decouple the rocking effect, storey measurement condensation and rocking response determination are discussed in this paper. A blind source separation approach is finally applied to identify the modal characteristics and quantify the rocking components. The benchmark data and models are open to the public for algorithmic development and validation.

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Section: Introductionmentioning

confidence: 99%

The MIT Green Building benchmark problem for structural health monitoring of tall buildings

Sun

Büyüköztürk

2017

Struct Control Health Monit

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“…As for performances for other damage locations, it should be stressed that the position of the damage is neither used nor searched for in the proposed method. The issue of damage localization is the topic of another investigation (Balmè s, Basseville, Mevel, Nasser, & Zhou, 2008).…”

Section: Discussionmentioning

confidence: 99%

Handling the temperature effect in vibration monitoring of civil structures: A combined subspace-based and nuisance rejection approach

Balmès

Basseville

Mevel

et al. 2009

Control Engineering Practice

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“…Progressive damage detection was carried out simulating loss of Young's module (E) at the third, seventh and ninth floors, trying to represent progressive damage at those floors due to seismic action. Then, 11 cases of study are proposed for each floor, in order to identify stiffness loss and damage location, considering that ninth story has induced 3,5,8,9,12,13,15,16,19,20]%, and finally, third floor has induced damaged of d 3rd = [0, 5, 5.5, 8, 9, 10.5, 11, 13, 15, 17, 20]%. This distribution assumes that the damage at each floors is different.…”

Section: Building Damage Detectionmentioning

confidence: 99%

“…() Frequency respond methods are considered in previous studies. () They can detect damage through changes in the natural frequencies, when compared to the undamaged situation. They are not useful, however, in locating the damage.…”

Section: Introductionmentioning

confidence: 99%

Shear building stiffness estimation by wave traveling time analysis

Morales‐Valdez

Álvarez-Icaza

Sánchez‐Sesma

2017

Struct Control Health Monit

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SummaryA novel damage identification technique to estimate stiffness in a multistory building supported on solid ground is presented. Based on a shear building model, a 1-dimensional wave equation for a vertically propagating shear wave is derived. A Ricker pulse is used as excitation signal and propagated through the building. Wave propagation in the building is based on the Thomson-Haskell method, where each story is represented as a single layer in a multiple stratum model. The wave arrival times of the pulse at each story are used to calculate the stiffness of the columns. The involved calculations in this method grow only linearly with the number of stories, as opposed to other identification methods, as modal analysis, that grow geometrically; this makes this approach an interesting alternative method to asses building integrity. Simulation result for a building with heterogeneous characteristics across the stories confirms the feasibility of the proposal.

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Statistical model-based damage localization: A combined subspace-based and substructuring approach

Cited by 46 publications

References 33 publications

The MIT Green Building benchmark problem for structural health monitoring of tall buildings

The MIT Green Building benchmark problem for structural health monitoring of tall buildings

Handling the temperature effect in vibration monitoring of civil structures: A combined subspace-based and nuisance rejection approach

Shear building stiffness estimation by wave traveling time analysis

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